Understanding why autism symptoms sometimes improve amid fever

Understanding why autism symptoms sometimes improve amid fever

Scientists are catching up to what parents and other caregivers have been reporting for many years: When some people with autism spectrum disorders experience an infection that sparks a fever, their autism-related symptoms seem to improve.

With a pair of new grants from The Marcus Foundation, scientists at MIT and Harvard Medical School hope to explain how this happens in an effort to eventually develop therapies that mimic the “fever effect” to similarly improve symptoms.

“Although it isn’t actually triggered by the fever, per se, the ‘fever effect’ is real, and it provides us with an opportunity to develop therapies to mitigate symptoms of autism spectrum disorders,” says neuroscientist Gloria Choi, associate professor in the MIT Department of Brain and Cognitive Sciences and affiliate of The Picower Institute for Learning and Memory.

Choi will collaborate on the project with Jun Huh, associate professor of immunology at Harvard Medical School. Together the grants to the two institutions provide $2.1 million over three years.

“To the best of my knowledge, the ‘fever effect’ is perhaps the only natural phenomenon in which developmentally determined autism symptoms improve significantly, albeit temporarily,” Huh says. “Our goal is to learn how and why this happens at the levels of cells and molecules, to identify immunological drivers, and produce persistent effects that benefit a broad group of individuals with autism.”

The Marcus Foundation has been involved in autism work for over 30 years, helping to develop the field and addressing everything from awareness to treatment to new diagnostic devices.

“I have long been interested in novel approaches to treating and lessening autism symptoms, and doctors Choi and Huh have honed in on a bold theory,” says Bernie Marcus, founder and chair of The Marcus Foundation. “It is my hope that this Marcus Foundation Medical Research Award helps their theory come to fruition and ultimately helps improve the lives of children with autism and their families.”

Brain-immune interplay

For a decade, Huh and Choi have been investigating the connection between infection and autism. Their studies suggest that the beneficial effects associated with fever may arise from molecular changes in the immune system during infection, rather than on the elevation of body temperature, per se.

Their work in mice has shown that maternal infection during pregnancy, modulated by the composition of the mother’s microbiome, can lead to neurodevelopmental abnormalities in the offspring that result in autism-like symptoms, such as impaired sociability. Huh’s and Choi’s labs have traced the effect to elevated maternal levels of a type of immune-signaling molecule called IL-17a, which acts on receptors in brain cells of the developing fetus, leading to hyperactivity in a region of the brain’s cortex called S1DZ. In another study, they’ve shown how maternal infection appears to prime offspring to produce more IL-17a during infection later in life.

Building on these studies, a 2020 paper clarified the fever effect in the setting of autism. This research showed that mice that developed autism symptoms as a result of maternal infection while in utero would exhibit improvements in their sociability when they had infections — a finding that mirrored observations in people. The scientists discovered that this effect depended on over-expression of IL-17a, which in this context appeared to calm affected brain circuits. When the scientists administered IL-17a directly to the brains of mice with autism-like symptoms whose mothers had not been infected during pregnancy, the treatment still produced improvements in symptoms.

New studies and samples

This work suggested that mimicking the “fever effect” by giving extra IL-17a could produce similar therapeutic effects for multiple autism-spectrum disorders, with different underlying causes. But the research also left wide-open questions that must be answered before any clinically viable therapy could be developed. How exactly does IL-17a lead to symptom relief and behavior change in the mice? Does the fever effect work in the same way in people?

In the new project, Choi and Huh hope to answer those questions in detail.

“By learning the science behind the fever effect and knowing the mechanism behind the improvement in symptoms, we can have enough knowledge to be able to mimic it, even in individuals who don’t naturally experience the fever effect,” Choi says.

Choi and Huh will continue their work in mice seeking to uncover the sequence of molecular, cellular and neural circuit effects triggered by IL-17a and similar molecules that lead to improved sociability and reduction in repetitive behaviors. They will also dig deeper into why immune cells in mice exposed to maternal infection become primed to produce IL-17a.

To study the fever effect in people, Choi and Huh plan to establish a “biobank” of samples from volunteers with autism who do or don’t experience symptoms associated with fever, as well as comparable volunteers without autism. The scientists will measure, catalog, and compare these immune system molecules and cellular responses in blood plasma and stool to determine the biological and clinical markers of the fever effect.

If the research reveals distinct cellular and molecular features of the immune response among people who experience improvements with fever, the researchers could be able to harness these insights into a therapy that mimics the benefits of fever without inducing actual fever. Detailing how the immune response acts in the brain would inform how the therapy should be crafted to produce similar effects.

“We are enormously grateful and excited to have this opportunity,” Huh says. “We hope our work will ‘kick up some dust’ and make the first step toward discovering the underlying causes of fever responses. Perhaps, one day in the future, novel therapies inspired by our work will help transform the lives of many families and their children with ASD [autism spectrum disorder].”

20+ Free Analog Film Lightroom Presets for Photographers

Analog film aesthetics hold a timeless appeal in digital photography, offering a distinctive look that can create a feeling of nostalgia and rustic artistry. The rich tones, subtle grain, and little imperfections of analog film create a depth often sought after by photographers.

Achieving these effects can be challenging with modern digital tools alone, but Lightroom presets will help to simplify the process. They’re invaluable to photographers who are looking to replicate those classic film styles. These pre-configured Lightroom settings allow you to apply specific styles to your photos with just a couple of clicks, saving time and ensuring consistency across all of your shots.

Whether you’re striving for Kodachrome’s vibrant colors or Fujifilm’s muted tones, these presets offer an easy and effective way to transform your digital shots. In this collection, we share the best free analog film Lightroom presets currently available, each designed to bring the charm of vintage photography to your modern digital workflow.

This free preset offers a nostalgic film look with balanced colors and soft contrasts, mimicking the classic 800 ISO film. It is Ideal for portraits and landscapes and delivers a subtle, timeless aesthetic.

20+ Free Analog Film Lightroom Presets for Photographers

These presets deliver a vintage feel with warm tones and soft highlights. They are perfect for achieving an old-school look on both desktop and mobile and are great for lifestyle, portrait, and travel photography.

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Kodachrome 64 emulates the iconic Kodak film style with vibrant colors and sharp contrasts. This free preset is suitable for various photography styles and brings out rich hues and fine details, making it ideal for portraits, landscapes, and travel photos.

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The Lightroom preset collection offers a diverse set of presets that replicate classic film aesthetics. They have been designed to enhance color richness and add a vintage feel to photos.

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Kinsfolk 1888 provides a nostalgic film look with muted tones and subtle grain. Perfect for simulating a vintage atmosphere. These presets work well for portraits, and lifestyle photography, adding a timeless quality to your images.

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Analogue Beauty mimics the charm of Kodak 35mm film, offering a selection of presets that enrich color and add a vintage quality. They’re great for portraits, street photography, and lifestyle shots.

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This free preset recreates the classic film look with rich colors and subtle grain. Ideal for portraits, landscapes, and street photography. It provides a timeless aesthetic, enhancing photos with a nostalgic, cinematic feel.

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These presets offer a classic film look with soft colors and smooth contrasts, ideal for portraits and lifestyle photography. They emulate the iconic Kodak Portra film, enhancing skin tones and adding a warm, vintage feel to your photos.

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This free preset will enhance your photos with vibrant colors and fine grain, emulating the popular Kodak Ektar 100 film effect. Suitable for various styles, this preset brings out rich details and bold hues, perfect for outdoor and travel photography.

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This preset replicates the nostalgic 35mm film aesthetic. It provides a classic analog look with rich colors and balanced contrast, ideal for adding rustic charm to your photos.

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This preset mimics the distinctive look of overexposed Kodak film. It enhances images with brighter highlights, softer shadows, and a slightly washed-out effect, creating a dreamy quality in photographs.

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This Lightroom collection includes multiple presets designed to enhance photos with a natural analog film look. It provides consistency, a recognizable style, and a beautiful sun-kissed feel for your photos.

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This free collection offers various presets that emulate classic analog film aesthetics. These presets enhance photos with rich tones and a timeless vintage feel. They can be used on both Lightroom mobile and classic.

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This free Lightroom preset offers a sophisticated film emulation, enhancing your photos with elegant tones and a polished finish. Ideal for fashion and portrait photography, it will add a touch of cinematic quality to your shot.

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This ColorMax Film preset will enrich your photos with vibrant, natural colors without oversaturation. It slightly lowers contrast for a balanced look, enhancing color depth and detail.

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This free preset replicates the charming retro film effect of Kodak’s single-use camera. It enhances photos with light, warm tones, adding a nostalgic and playful feel to various photography styles.

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This preset emulates the iconic Kodak Portra 400 film, known for its exceptional color accuracy and fine grain. It enhances digital photos with natural skin tones and balanced color saturation, perfect for portraits and general photography.

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This free preset collection mimics the aesthetic of vintage analog film and will add classic film tones, a balanced contrast, and a nostalgic feel to your photos. The preset is suitable for both color and black and white photography.

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This free Lightroom preset, inspired by Fujifilm film, will enrich your photos with vibrant colors and dynamic contrasts. It brings out rich details and vivid tones, making it ideal for portraits and landscapes.

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This preset recreates the iconic look of Kodak Ektachrome film. It features a soft matte texture, vibrant yet natural colors, and balanced contrast, ideal for achieving a classic film appearance in your photos.

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This preset mimics the aesthetics of traditional analog cameras. It enhances photos with vintage tones, balanced contrast, and a slightly muted color palette, creating a nostalgic and timeless feel.

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This free Lightroom preset emulates the look of Fuji Superia 800 film, enhancing your shots with vibrant yet natural colors. It will add depth to your photos while maintaining smooth skin tones.

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This preset captures the distinctive look of Fujifilm Cool Chrome film. It adds cool tones, increased contrast, and vibrant colors to photos, perfect for achieving a modern, polished look in Lightroom.

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This free preset will give your photos a retro feel with light magenta hues. It creates a soft, vintage look reminiscent of old film, ideal for adding a nostalgic touch to various photography styles.

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Analog Film Lightroom Preset FAQ

  • What are analog film Lightroom presets?

    They are pre-configured settings designed to replicate the look of traditional analog film. They provide the distinctive tones, colors, and grain associated with classic film photography.

  • How do analog film presets enhance my photos?

    They will transform your photos by adding rich tones, unique grains, and balanced contrast, giving them a timeless and nostalgic feel.

  • Are these presets compatible with all versions of Lightroom?

    Most analog film presets work with Lightroom Classic, Lightroom CC, and Lightroom Mobile. Before downloading, check the specific compatibility details of each preset.

  • How do I install these Lightroom presets?

    Open Lightroom and go to the Develop module. In the Presets panel, right-click and select Import. Locate the downloaded preset files and import them.

  • Can I make adjustments to the presets after applying them?

    Yes, these presets are fully customizable. You can tweak exposure, contrast, color, and other settings to match your desired aesthetic.

  • Are analog film presets suitable for all types of photography?

    They are versatile and can enhance various photography styles, including portraits, landscapes, and street photography. Experiment with different presets to find the best fit for your photos.

The Perfect Analog Aesthetic

These presets will save time, help maintain consistency, and simplify the editing process, making it easier to capture the desired analog aesthetic you have been looking for. They allow you to quickly add those rich tones, unique grains, and distinctive analog film effects to your photos.

Experiment with these presets and find the best fit for your personal photography style. Each preset provides a different interpretation of analog film, allowing you to explore various styles and enhance your creative expression.


Related Topics

How the Internet of Things (IoT) became a dark web target – and what to do about it – CyberTalk

By Antoinette Hodes, Office of the CTO, Check Point Software Technologies.

The dark web has evolved into a clandestine marketplace where illicit activities flourish under the cloak of anonymity. Due to its restricted accessibility, the dark web exhibits a decentralized structure with minimal enforcement of security controls, making it a common marketplace for malicious activities.

The Internet of Things (IoT), with the interconnected nature of its devices, and its vulnerabilities, has become an attractive target for dark web-based cyber criminals. One weak link – i.e., a compromised IoT device – can jeopardize the entire network’s security. The financial repercussions of a breached device can be extensive, not just in terms of ransom demands, but also in terms of regulatory fines, loss of reputation and the cost of remediation.

With their interconnected nature and inherent vulnerabilities, IoT devices are attractive entry points for cyber criminals. They are highly desirable targets, since they often represent a single point of vulnerability that can impact numerous victims simultaneously.

Check Point Research found a sharp increase in cyber attacks targeting IoT devices, observing a trend across all regions and sectors. Europe experiences the highest number of incidents per week: on average, nearly 70 IoT attacks per organization.

How the Internet of Things (IoT) became a dark web target – and what to do about it – CyberTalk

Gateways to the dark web

Based on research from PSAcertified, the average cost of a successful attack on an IoT device exceeds $330,000. Another analyst report reveals that 34% of enterprises that fell victim to a breach via IoT devices faced higher cumulative breach costs than those who fell victim to a cyber attack on non-IoT devices; the cost of which ranged between $5 million and $10 million.

Other examples of IoT-based attacks include botnet infections, turning devices into zombies so that they can participate in distributed denial-of-service (DDoS), ransomware and propagation attacks, as well as crypto-mining and exploitation of IoT devices as proxies for the dark web.

4% browsing, 90% confidentiality, 6% anonymity

The dark web relies on an arsenal of tools and associated services to facilitate illicit activities. Extensive research has revealed a thriving underground economy operating within the dark web. This economy is largely centered around services associated with IoT. In particular, there seems to be a huge demand for DDoS attacks that are orchestrated through IoT botnets: During the first half of 2023, Kaspersky identified over 700 advertisements for DDoS attack services across various dark web forums.

IoT devices themselves have become valuable assets in this underworld marketplace. On the dark web, the value of a compromised device is often greater than the retail price of the device itself. Upon examining one of the numerous Telegram channels used for trading dark web products and services, one can come across scam pages, tutorials covering various malicious activities, harmful configuration files with “how-to’s”, SSH crackers, and more. Essentially, a complete assortment of tools, from hacking resources to anonymization services, for the purpose of capitalizing on compromised devices can be found on the dark web. Furthermore, vast quantities of sensitive data are bought and sold there everyday.

AI’s dark capabilities

Adversarial machine learning can be used to attack, deceive and bypass machine learning systems. The combination of IoT and AI has driven dark web-originated attacks to unprecedented levels. This is what we are seeing:

  • Automated exploitation: AI algorithms automate the process of scanning for vulnerabilities and security flaws with subsequent exploitation methods. This opens doors to large-scale attacks with zero human interaction.
  • Adaptive attacks: With AI, attackers can now adjust their strategies in real-time by analyzing the responses and defenses encountered during an attack. This ability to adapt poses a significant challenge for traditional security measures in effectively detecting and mitigating IoT threats.
  • Behavioral analysis: AI-driven analytics enables the examination of IoT devices and user behavior, allowing for the identification of patterns, anomalies, and vulnerabilities. Malicious actors can utilize this capability to profile IoT devices, exploit their weaknesses, and evade detection from security systems.
  • Adversarial attacks: Adversarial attacks can be used to trick AI models and IoT devices into making incorrect or unintended decisions, potentially leading to security breaches. These attacks aim to exploit weaknesses in the system’s algorithms or vulnerabilities.

Zero-tolerance security

The convergence of IoT and AI brings numerous advantages, but it also presents fresh challenges. To enhance IoT security and device resilience while safeguarding sensitive data, across the entire IoT supply chain, organizations must implement comprehensive security measures based on zero-tolerance principles.

Factors such as data security, device security, secure communication, confidentiality, privacy, and other non-functional requirements like maintainability, reliability, usability and scalability highlight the critical need for security controls within IoT devices. Security controls should include elements like secure communication, access controls, encryption, software patches, device hardening, etc. As part of the security process, the focus should be on industry standards, such as “secure by design” and “secure by default”, along with the average number of IoT attacks per organization, as broken down by region every week.

Functional requirements, non-functional requirements

Collaborations and alliances within the industry are critical in developing standardized IoT security practices and establishing industry-wide security standards. By integrating dedicated IoT security, organizations can enhance their overall value proposition and ensure compliance with regulatory obligations.

In today’s cyber threat landscape, numerous geographic regions demand adherence to stringent security standards; both during product sales and while responding to Request for Information and Request for Proposal solicitations. IoT manufacturers with robust, ideally on-device security capabilities can showcase a distinct advantage, setting them apart from their competitors. Furthermore, incorporating dedicated IoT security controls enables seamless, scalable and efficient operations, reducing the need for emergency software updates.

IoT security plays a crucial role in enhancing the Overall Equipment Effectiveness (a measurement of manufacturing productivity, defined as availability x performance x quality), as well as facilitating early bug detection in IoT firmware before official release. Additionally, it demonstrates a solid commitment to prevention and security measures.

By prioritizing dedicated IoT security, we actively contribute to the establishment of secure and reliable IoT ecosystems, which serve to raise awareness, educate stakeholders, foster trust and cultivate long-term customer loyalty. Ultimately, they enhance credibility and reputation in the market. Ensuring IoT device security is essential in preventing IoT devices from falling into the hands of the dark web army.

This article was originally published via the World Economic Forum and has been reprinted with permission.

For more Cyber Talk insights from Antoinette Hodes, please click here. Lastly, to receive stellar cyber insights, groundbreaking research and emerging threat analyses each week, subscribe to the CyberTalk.org newsletter.

TMNT: Mutants Unleashed Collector’s Edition Announced

Earlier this year, Game Informer revealed the exclusive first details and screenshots of Teenage Mutant Ninja Turtles: Mutants Unleashed, the video game set after the events of 2023 film, Teenage Mutant Ninja Turtles: Mutant Mayhem. Following that March reveal, developer A Heartful of Games and publisher Outright Games has largely gone quiet. Today, the publisher revealed what players can expect from the Deluxe and Collector’s Editions of Mutants Unleashed if they want to splurge on the game when it arrives later this year.

Teenage Mutant Ninja Turtles: Mutants Unleashed allows you to take control of the four turtles in a 3D brawler/platformer for up to two players. The premium editions of the game will provide additional physical goodies for fans of the franchise. The Deluxe Edition includes the game, an exclusive steelbook, four pin badges, four keychains, and an artbook. Meanwhile, the Collector’s Edition includes the game, Season Pass, pizza van statue, LED sign, five pin badges, four patches, a mouse mat, notebook, pen, artbook, poster, stickers, and a collector’s box. The Deluxe Edition retails for $60, while the Collector’s Edition will set you back $200.

TMNT: Mutants Unleashed Collector’s Edition Announced

Oddly enough, both the Deluxe and Collector’s Editions are exclusive to the PlayStation 5 and Switch versions of the game. If you’re not planning to experience this title on those systems, but still want to at least play through the game, you’re in luck, as Teenage Mutant Ninja Turtles: Mutants Unleahsed arrives on PS5, Xbox Series X/S, PS4, Xbox One, Switch, and PC later this year.

For more on Teenage Mutant Ninja Turtles in video games, be sure to read our in-depth feature on the history of the video game franchise here, and if you want something else to look forward to, read a comment from TMNT co-creator Kevin Eastman on the upcoming video game based on The Last Ronin here.

School of Engineering welcomes new faculty

School of Engineering welcomes new faculty

The School of Engineering welcomes 15 new faculty members across six of its academic departments. This new cohort of faculty members, who have either recently started their roles at MIT or will start within the next year, conduct research across a diverse range of disciplines.

Many of these new faculty specialize in research that intersects with multiple fields. In addition to positions in the School of Engineering, a number of these faculty have positions at other units across MIT. Faculty with appointments in the Department of Electrical Engineering and Computer Science (EECS) report into both the School of Engineering and the MIT Stephen A. Schwarzman College of Computing. This year, new faculty also have joint appointments between the School of Engineering and the School of Humanities, Arts, and Social Sciences and the School of Science.

“I am delighted to welcome this cohort of talented new faculty to the School of Engineering,” says Anantha Chandrakasan, chief innovation and strategy officer, dean of engineering, and Vannevar Bush Professor of Electrical Engineering and Computer Science. “I am particularly struck by the interdisciplinary approach many of these new faculty take in their research. They are working in areas that are poised to have tremendous impact. I look forward to seeing them grow as researchers and educators.”

The new engineering faculty include:

Stephen Bates joined the Department of Electrical Engineering and Computer Science as an assistant professor in September 2023. He is also a member of the Laboratory for Information and Decision Systems (LIDS). Bates uses data and AI for reliable decision-making in the presence of uncertainty. In particular, he develops tools for statistical inference with AI models, data impacted by strategic behavior, and settings with distribution shift. Bates also works on applications in life sciences and sustainability. He previously worked as a postdoc in the Statistics and EECS departments at the University of California at Berkeley (UC Berkeley). Bates received a BS in statistics and mathematics at Harvard University and a PhD from Stanford University.

Abigail Bodner joined the Department of EECS and Department of Earth, Atmospheric and Planetary Sciences as an assistant professor in January. She is also a member of the LIDS. Bodner’s research interests span climate, physical oceanography, geophysical fluid dynamics, and turbulence. Previously, she worked as a Simons Junior Fellow at the Courant Institute of Mathematical Sciences at New York University. Bodner received her BS in geophysics and mathematics and MS in geophysics from Tel Aviv University, and her SM in applied mathematics and PhD from Brown University.

Andreea Bobu ’17 will join the Department of Aeronautics and Astronautics as an assistant professor in July. Her research sits at the intersection of robotics, mathematical human modeling, and deep learning. Previously, she was a research scientist at the Boston Dynamics AI Institute, focusing on how robots and humans can efficiently arrive at shared representations of their tasks for more seamless and reliable interactions. Bobu earned a BS in computer science and engineering from MIT and a PhD in electrical engineering and computer science from UC Berkeley.

Suraj Cheema will join the Department of Materials Science and Engineering, with a joint appointment in the Department of EECS, as an assistant professor in July. His research explores atomic-scale engineering of electronic materials to tackle challenges related to energy consumption, storage, and generation, aiming for more sustainable microelectronics. This spans computing and energy technologies via integrated ferroelectric devices. He previously worked as a postdoc at UC Berkeley. Cheema earned a BS in applied physics and applied mathematics from Columbia University and a PhD in materials science and engineering from UC Berkeley.

Samantha Coday joins the Department of EECS as an assistant professor in July. She will also be a member of the MIT Research Laboratory of Electronics. Her research interests include ultra-dense power converters enabling renewable energy integration, hybrid electric aircraft and future space exploration. To enable high-performance converters for these critical applications her research focuses on the optimization, design, and control of hybrid switched-capacitor converters. Coday earned a BS in electrical engineering and mathematics from Southern Methodist University and an MS and a PhD in electrical engineering and computer science from UC Berkeley.

Mitchell Gordon will join the Department of EECS as an assistant professor in July. He will also be a member of the MIT Computer Science and Artificial Intelligence Laboratory. In his research, Gordon designs interactive systems and evaluation approaches that bridge principles of human-computer interaction with the realities of machine learning. He currently works as a postdoc at the University of Washington. Gordon received a BS from the University of Rochester, and MS and PhD from Stanford University, all in computer science.

Kaiming He joined the Department of EECS as an associate professor in February. He will also be a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research interests cover a wide range of topics in computer vision and deep learning. He is currently focused on building computer models that can learn representations and develop intelligence from and for the complex world. Long term, he hopes to augment human intelligence with improved artificial intelligence. Before joining MIT, He was a research scientist at Facebook AI. He earned a BS from Tsinghua University and a PhD from the Chinese University of Hong Kong.

Anna Huang SM ’08 will join the departments of EECS and Music and Theater Arts as assistant professor in September. She will help develop graduate programming focused on music technology. Previously, she spent eight years with Magenta at Google Brain and DeepMind, spearheading efforts in generative modeling, reinforcement learning, and human-computer interaction to support human-AI partnerships in music-making. She is the creator of Music Transformer and Coconet (which powered the Bach Google Doodle). She was a judge and organizer for the AI Song Contest. Anna holds a Canada CIFAR AI Chair at Mila, a BM in music composition, and BS in computer science from the University of Southern California, an MS from the MIT Media Lab, and a PhD from Harvard University.

Yael Kalai PhD ’06 will join the Department of EECS as a professor in September. She is also a member of CSAIL. Her research interests include cryptography, the theory of computation, and security and privacy. Kalai currently focuses on both the theoretical and real-world applications of cryptography, including work on succinct and easily verifiable non-interactive proofs. She received her bachelor’s degree from the Hebrew University of Jerusalem, a master’s degree at the Weizmann Institute of Science, and a PhD from MIT.

Sendhil Mullainathan will join the departments of EECS and Economics as a professor in July. His research uses machine learning to understand complex problems in human behavior, social policy, and medicine. Previously, Mullainathan spent five years at MIT before joining the faculty at Harvard in 2004, and then the University of Chicago in 2018. He received his BA in computer science, mathematics, and economics from Cornell University and his PhD from Harvard University.

Alex Rives will join the Department of EECS as an assistant professor in September, with a core membership in the Broad Institute of MIT and Harvard. In his research, Rives is focused on AI for scientific understanding, discovery, and design for biology. Rives worked with Meta as a New York University graduate student, where he founded and led the Evolutionary Scale Modeling team that developed large language models for proteins. Rives received his BS in philosophy and biology from Yale University and is completing his PhD in computer science at NYU.

Sungho Shin will join the Department of Chemical Engineering as an assistant professor in July. His research interests include control theory, optimization algorithms, high-performance computing, and their applications to decision-making in complex systems, such as energy infrastructures. Shin is a postdoc at the Mathematics and Computer Science Division at Argonne National Laboratory. He received a BS in mathematics and chemical engineering from Seoul National University and a PhD in chemical engineering from the University of Wisconsin-Madison.

Jessica Stark joined the Department of Biological Engineering as an assistant professor in January. In her research, Stark is developing technologies to realize the largely untapped potential of cell-surface sugars, called glycans, for immunological discovery and immunotherapy. Previously, Stark was an American Cancer Society postdoc at Stanford University. She earned a BS in chemical and biomolecular engineering from Cornell University and a PhD in chemical and biological engineering at Northwestern University.

Thomas John “T.J.” Wallin joined the Department of Materials Science and Engineering as an assistant professor in January. As a researcher, Wallin’s interests lay in advanced manufacturing of functional soft matter, with an emphasis on soft wearable technologies and their applications in human-computer interfaces. Previously, he was a research scientist at Meta’s Reality Labs Research working in their haptic interaction team. Wallin earned a BS in physics and chemistry from the College of William and Mary, and an MS and PhD in materials science and engineering from Cornell University.

Gioele Zardini joined the Department of Civil and Environmental Engineering as an assistant professor in September. He will also join LIDS and the Institute for Data, Systems, and Society. Driven by societal challenges, Zardini’s research interests include the co-design of sociotechnical systems, compositionality in engineering, applied category theory, decision and control, optimization, and game theory, with society-critical applications to intelligent transportation systems, autonomy, and complex networks and infrastructures. He received his BS, MS, and PhD in mechanical engineering with a focus on robotics, systems, and control from ETH Zurich, and spent time at MIT, Stanford University, and Motional.

Study explains why the brain can robustly recognize images, even without color

Study explains why the brain can robustly recognize images, even without color

Even though the human visual system has sophisticated machinery for processing color, the brain has no problem recognizing objects in black-and-white images. A new study from MIT offers a possible explanation for how the brain comes to be so adept at identifying both color and color-degraded images.

Using experimental data and computational modeling, the researchers found evidence suggesting the roots of this ability may lie in development. Early in life, when newborns receive strongly limited color information, the brain is forced to learn to distinguish objects based on their luminance, or intensity of light they emit, rather than their color. Later in life, when the retina and cortex are better equipped to process colors, the brain incorporates color information as well but also maintains its previously acquired ability to recognize images without critical reliance on color cues.

The findings are consistent with previous work showing that initially degraded visual and auditory input can actually be beneficial to the early development of perceptual systems.

“This general idea, that there is something important about the initial limitations that we have in our perceptual system, transcends color vision and visual acuity. Some of the work that our lab has done in the context of audition also suggests that there’s something important about placing limits on the richness of information that the neonatal system is initially exposed to,” says Pawan Sinha, a professor of brain and cognitive sciences at MIT and the senior author of the study.

The findings also help to explain why children who are born blind but have their vision restored later in life, through the removal of congenital cataracts, have much more difficulty identifying objects presented in black and white. Those children, who receive rich color input as soon as their sight is restored, may develop an overreliance on color that makes them much less resilient to changes or removal of color information.

MIT postdocs Marin Vogelsang and Lukas Vogelsang, and Project Prakash research scientist Priti Gupta, are the lead authors of the study, which appears today in Science. Sidney Diamond, a retired neurologist who is now an MIT research affiliate, and additional members of the Project Prakash team are also authors of the paper.

Seeing in black and white

The researchers’ exploration of how early experience with color affects later object recognition grew out of a simple observation from a study of children who had their sight restored after being born with congenital cataracts. In 2005, Sinha launched Project Prakash (the Sanskrit word for “light”), an effort in India to identify and treat children with reversible forms of vision loss.

Many of those children suffer from blindness due to dense bilateral cataracts. This condition often goes untreated in India, which has the world’s largest population of blind children, estimated between 200,000 and 700,000.

Children who receive treatment through Project Prakash may also participate in studies of their visual development, many of which have helped scientists learn more about how the brain’s organization changes following restoration of sight, how the brain estimates brightness, and other phenomena related to vision.

In this study, Sinha and his colleagues gave children a simple test of object recognition, presenting both color and black-and-white images. For children born with normal sight, converting color images to grayscale had no effect at all on their ability to recognize the depicted object. However, when children who underwent cataract removal were presented with black-and-white images, their performance dropped significantly.

This led the researchers to hypothesize that the nature of visual inputs children are exposed to early in life may play a crucial role in shaping resilience to color changes and the ability to identify objects presented in black-and-white images. In normally sighted newborns, retinal cone cells are not well-developed at birth, resulting in babies having poor visual acuity and poor color vision. Over the first years of life, their vision improves markedly as the cone system develops.

Because the immature visual system receives significantly reduced color information, the researchers hypothesized that during this time, the baby brain is forced to gain proficiency at recognizing images with reduced color cues. Additionally, they proposed, children who are born with cataracts and have them removed later may learn to rely too much on color cues when identifying objects, because, as they experimentally demonstrated in the paper, with mature retinas, they commence their post-operative journeys with good color vision.

To rigorously test that hypothesis, the researchers used a standard convolutional neural network, AlexNet, as a computational model of vision. They trained the network to recognize objects, giving it different types of input during training. As part of one training regimen, they initially showed the model grayscale images only, then introduced color images later on. This roughly mimics the developmental progression of chromatic enrichment as babies’ eyesight matures over the first years of life.

Another training regimen comprised only color images. This approximates the experience of the Project Prakash children, because they can process full color information as soon as their cataracts are removed.

The researchers found that the developmentally inspired model could accurately recognize objects in either type of image and was also resilient to other color manipulations. However, the Prakash-proxy model trained only on color images did not show good generalization to grayscale or hue-manipulated images.

“What happens is that this Prakash-like model is very good with colored images, but it’s very poor with anything else. When not starting out with initially color-degraded training, these models just don’t generalize, perhaps because of their over-reliance on specific color cues,” Lukas Vogelsang says.

The robust generalization of the developmentally inspired model is not merely a consequence of it having been trained on both color and grayscale images; the temporal ordering of these images makes a big difference. Another object-recognition model that was trained on color images first, followed by grayscale images, did not do as well at identifying black-and-white objects.

“It’s not just the steps of the developmental choreography that are important, but also the order in which they are played out,” Sinha says.

The advantages of limited sensory input

By analyzing the internal organization of the models, the researchers found that those that begin with grayscale inputs learn to rely on luminance to identify objects. Once they begin receiving color input, they don’t change their approach very much, since they’ve already learned a strategy that works well. Models that began with color images did shift their approach once grayscale images were introduced, but could not shift enough to make them as accurate as the models that were given grayscale images first.

A similar phenomenon may occur in the human brain, which has more plasticity early in life, and can easily learn to identify objects based on their luminance alone. Early in life, the paucity of color information may in fact be beneficial to the developing brain, as it learns to identify objects based on sparse information.

“As a newborn, the normally sighted child is deprived, in a certain sense, of color vision. And that turns out to be an advantage,” Diamond says.

Researchers in Sinha’s lab have observed that limitations in early sensory input can also benefit other aspects of vision, as well as the auditory system. In 2022, they used computational models to show that early exposure to only low-frequency sounds, similar to those that babies hear in the womb, improves performance on auditory tasks that require analyzing sounds over a longer period of time, such as recognizing emotions. They now plan to explore whether this phenomenon extends to other aspects of development, such as language acquisition.

The research was funded by the National Eye Institute of NIH and the Intelligence Advanced Research Projects Activity.

Hellblade II, Paper Mario: The Thousand Year Door Reviews, Exploring Manor Lords | GI Show

Hellblade II, Paper Mario: The Thousand Year Door Reviews, Exploring Manor Lords | GI Show

In this week’s episode of The Game Informer Show, we unpack our reviews of Senua’s Saga: Hellblade II and the “more than a remaster but not quite a remake” of Paper Mario: The Thousand Year Door. We also share our first foray into the hit early access city-builder, Manor Lords, and give our impressions of exciting new indies such as Hauntii, Duck Detective: The Secret Salami, Baladins, and 1000xResist. 

Watch The Video Version

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Follow us on social media: Marcus Stewart (@MarcusStewart7), Kyle Hilliard (@KyleMHilliard), Charles Harte (@chuckduck365)

The Game Informer Show is a weekly gaming podcast covering the latest video game news, industry topics, exclusive reveals, and reviews. Join host Alex Van Aken every Thursday to chat about your favorite games – past and present – with Game Informer staff, developers, and special guests from around the industry. Listen on Apple PodcastsSpotify, or your favorite podcast app.

The Game Informer Show – Podcast Timestamps:

00:00:00 – Intro
00:03:17 – Senua’s Saga: Hellblade II Review
00:30:44 – Paper Mario: The Thousand-Year Door Review
00:44:45 – Manor Lords
01:06:03 – Duck Detective: The Secret Salami
01:10:34 – Baladins
01:14:40 – 1000xResist
01:16:51 – Hauntii
01:21:01 – Lorelei and the Laser Eyes
01:25:37 – Housekeeping and Listener Questions
 01:48:21 – The Lunch Break: Like A Dance Break but with Lunch (Working Title)

Atari Announces Intellivision Brand Acquisition

Atari Announces Intellivision Brand Acquisition

Acquisitions have been rampant in the games industry recently. While the prime example on everyone’s mind is likely Xbox’s recent acquisition of Activision Blizzard, several have already occurred in 2024. The latest was announced today by Atari, which confirmed it is acquiring its longtime rival, Intellivision.

Atari announced it has purchased the Intellivision brand and more than 200 games from Intellvision Entertainment. As part of the deal, Intellivision Entertainment will rebrand and continue developing and distributing the Amico game console with a license from Atari to distribute new versions of Intellivision games on the console. Atari will also look to expand digital and physical distribution of legacy Intellivision games, potentially create new games, and explore licensing opportunities. 

“This was a very rare opportunity to unite former competitors and bring together fans of Atari, Intellivision, and the golden age of gaming,” chairman and CEO of Atari Wade Rosen said in a press release. 

“Atari has been a valuable partner and we have every confidence they will be a responsible steward of the storied Intellvision brand,” CEO of Intellivision Entertainment Phil Adam said. “We look forward to our expanded collaboration and bringing a broad array of new Atari and Intellivision titles to the Amico and Amico Home family gaming platforms.”

Atari has been experiencing a bit of a re-emergence in the public consciousness lately. In addition to other acquisitions, such as Nightdive Studios and Digital Eclipse, Atari has also published well-received games like Mr. Run and Jump and Atari 50: The Anniversary Celebration. For more on Atari’s outlook and current strategy, be sure to listen to a 2023 episode of All Things Nintendo, which featured an in-depth conversation with Wade Rosen right here.

What Went Wrong With the Humane AI Pin?

Humane, a startup founded by former Apple employees Imran Chaudhri and Bethany Bongiorno, recently launched its highly anticipated wearable AI assistant, the Humane AI Pin. Now, the company is already looking for a buyer. The device promised to revolutionize the way people interact with technology, offering…

MultiVersus Launch Trailer Reveals Jason Voorhees And The Matrix’s Agent Smith

MultiVersus Launch Trailer Reveals Jason Voorhees And The Matrix’s Agent Smith

Developer Player First Games and publisher Warner Bros. Games have released the launch trailer for its upcoming platform fighter, MultiVersus, seemingly revealing Friday the 13th’s Jason Voorhees and The Matrix’s Agent Smith as new roster additions. This trailer arrives just a few weeks after we learned MultiVersus finally (re)launches next week

After roughly two minutes of MultiVersus hijinks with various characters from the game, the Joker, which we recently learned is joining the game with a voice by Mark Hamill, is seen sitting on the Iron Throne of Game of Thrones fame. Then, mysteriously, Jason and Agent Smith appear beside him, likely alluding to them joining the launch day roster. 

Check it out for yourself in the MultiVersus launch trailer below

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MultiVersus is a free-to-play game and will launch on May 28 on PlayStation 5, Xbox Series X/S, PlayStation 4, Xbox One, and PC. 

For more, read Game Informer’s MultiVersus review after its first launch back in 2022, and then check out Joker’s MultiVersus gameplay and his Batman Who Laughs alternate costume


Are you jumping back into MultiVersus next week when it launches? Let us know in the comments below!