Hello Neighbor Label TinyBuild Lays Off Entire Versus Evil Publisher Staff

Hello Neighbor Label TinyBuild Lays Off Entire Versus Evil Publisher Staff

TinyBuild, the games label behind the Hello Neighbor series, has laid off the entire staff of Versus Evil, an indie publisher under the TinyBuild umbrella, just days before the holidays. This news comes from various former Versus Evil employees on Twitter. 

“Unfortunately our parent company has made the decision to lay off the entire team here at Versus Evil,” former Versus Evil community manager Chris Trippi writes in a tweet. Another former marketing and community manager with the publisher writes in a tweet, “tinybuild just laid off myself and the entire Versus Evil team.” 

The official Versus Evil Twitter account posted the following

“Today is a sad day. After 10 wonderful years, Versus Evil is shutting its doors. We’ve loved bringing you the best indie games we could find and sharing so many happy memories with you all, our amazing community. From the bottom of our hearts, thank you for everything.” 

Various others have shared similar tweets sharing the news, too. 

TinyBuild has not addressed the layoffs. 

Versus Evil was founded in 2013 to support and publish indie games. Its “About” page says, “Versus Evil boasts a full suite of services to support the indie games they publish; marketing, PR, influencer outreach, social media, community, QA, localization, and development services to reach other platforms.” 

Versus Evil has published games on PlayStation, Xbox, PC, and mobile platforms, and has worked with indie studios from around the world, including places like North America, South America, and Europe. Versus Evil-published games include First Class Trouble and the Switch versions of Pillars of Eternity and Pillars of Eternity II: Deadfire. 

These Versus Evil layoffs join an unfortunately ever-growing list of layoffs affecting workers in 2023 in the games industry and games-adjacent industries. Last week, Dungeons & Dragons and Magic: The Gathering parent company Hasbro laid off 1,100 employees, and that same week, Embracer Group officially shuttered its reformed TimeSplitters team, Free Radical Design

A few weeks ago, 505 Games parent company Digital Bros laid off 30 percent of its staff

Last month, Amazon Games laid off 180 staff members. In early November, we learned that Ubisoft laid off more than 100 employees. The week before that, roughly 100 employees were laid off at Destiny 2 developer Bungie

In January, Microsoft laid off 10,000 employees amidst its ongoing $69 billion acquisition of Activision Blizzard, which it completed last month

In August, Striking Distance Studios, the team behind last year’s The Callisto Protocol, laid off more than 30 employees, and that same month, Mass Effect and Dragon Age developer BioWare laid off 50 employees, including long-time studio veterans. The following month, in September, Immortals of Aveum developer Ascendant Studios laid off roughly 45% of its staff

Just last month, The Last of Us developer Naughty Dog laid off at least 25 employees, and Telltale Games underwent layoffs as well, although an actual number of laid-off employees has not yet been revealed. And in late October, Dreams developer Media Molecule laid off 20 employees.

The hearts of Game Informer staff are with everyone affected by these layoffs. 

Engineers develop a vibrating, ingestible capsule that might help treat obesity

Engineers develop a vibrating, ingestible capsule that might help treat obesity

When you eat a large meal, your stomach sends signals to your brain that create a feeling of fullness, which helps you realize it’s time to stop eating. A stomach full of liquid can also send these messages, which is why dieters are often advised to drink a glass of water before eating.

MIT engineers have now come up with a new way to take advantage of that phenomenon, using an ingestible capsule that vibrates within the stomach. These vibrations activate the same stretch receptors that sense when the stomach is distended, creating an illusory sense of fullness.

In animals who were given this pill 20 minutes before eating, the researchers found that this treatment not only stimulated the release of hormones that signal satiety, but also reduced the animals’ food intake by about 40 percent. Scientists have much more to learn about the mechanisms that influence human body weight, but if further research suggests this technology could be safely used in humans, such a pill might offer a minimally invasive way to treat obesity, the researchers say.

“For somebody who wants to lose weight or control their appetite, it could be taken before each meal,” says Shriya Srinivasan PhD ’20, a former MIT graduate student and postdoc who is now an assistant professor of bioengineering at Harvard University. “This could be really interesting in that it would provide an option that could minimize the side effects that we see with the other pharmacological treatments out there.”

Srinivasan is the lead author of the new study, which appears today in Science Advances. Giovanni Traverso, an associate professor of mechanical engineering at MIT and a gastroenterologist at Brigham and Women’s Hospital, is the senior author of the paper.

A sense of fullness

When the stomach becomes distended, specialized cells called mechanoreceptors sense that stretching and send signals to the brain via the vagus nerve. As a result, the brain stimulates production of insulin, as well as hormones such as C-peptide, Pyy, and GLP-1. All of these hormones work together to help people digest their food, feel full, and stop eating. At the same time, levels of ghrelin, a hunger-promoting hormone, go down.

While a graduate student at MIT, Srinivasan became interested in the idea of controlling this process by artificially stretching the mechanoreceptors that line the stomach, through vibration. Previous research had shown that vibration applied to a muscle can induce a sense that the muscle has stretched farther than it actually has.

“I wondered if we could activate stretch receptors in the stomach by vibrating them and having them perceive that the entire stomach has been expanded, to create an illusory sense of distension that could modulate hormones and eating patterns,” Srinivasan says.

As a postdoc in MIT’s Koch Institute for Integrative Cancer Research, Srinivasan worked closely with Traverso’s lab, which has developed many novel approaches to oral delivery of drugs and electronic devices. For this study, Srinivasan, Traverso, and a team of researchers designed a capsule about the size of a multivitamin, that includes a vibrating element. When the pill, which is powered by a small silver oxide battery, reaches the stomach, acidic gastric fluids dissolve a gelatinous membrane that covers the capsule, completing the electronic circuit that activates the vibrating motor.

In a study in animals, the researchers showed that once the pill begins vibrating, it activates mechanoreceptors, which send signals to the brain through stimulation of the vagus nerve. The researchers tracked hormone levels during the periods when the device was vibrating and found that they mirrored the hormone release patterns seen following a meal, even when the animals had fasted.

The researchers then tested the effects of this stimulation on the animals’ appetite. They found that when the pill was activated for about 20 minutes, before the animals were offered food, they consumed 40 percent less, on average, than they did when the pill was not activated. The animals also gained weight more slowly during periods when they were treated with the vibrating pill.

“The behavioral change is profound, and that’s using the endogenous system rather than any exogenous therapeutic. We have the potential to overcome some of the challenges and costs associated with delivery of biologic drugs by modulating the enteric nervous system,” Traverso says.

The current version of the pill is designed to vibrate for about 30 minutes after arriving in the stomach, but the researchers plan to explore the possibility of adapting it to remain in the stomach for longer periods of time, where it could be turned on and off wirelessly as needed. In the animal studies, the pills passed through the digestive tract within four or five days.

The study also found that the animals did not show any signs of obstruction, perforation, or other negative impacts while the pill was in their digestive tract.

An alternative approach

This type of pill could offer an alternative to the current approaches to treating obesity, the researchers say. Nonmedical interventions such as diet exercise don’t always work, and many of the existing medical interventions are fairly invasive. These include gastric bypass surgery, as well as gastric balloons, which are no longer used widely in the United States due to safety concerns.

Drugs such as GLP-1 agonists can also aid weight loss, but most of them have to be injected, and they are unaffordable for many people. According to Srinivasan, the MIT capsules could be manufactured at a cost that would make them available to people who don’t have access to more expensive treatment options.

“For a lot of populations, some of the more effective therapies for obesity are very costly. At scale, our device could be manufactured at a pretty cost-effective price point,” she says. “I’d love to see how this would transform care and therapy for people in global health settings who may not have access to some of the more sophisticated or expensive options that are available today.”

The researchers now plan to explore ways to scale up the manufacturing of the capsules, which could enable clinical trials in humans. Such studies would be important to learn more about the devices’ safety, as well as determine the best time to swallow the capsule before to a meal and how often it would need to be administered.

Other authors of the paper include Amro Alshareef, Alexandria Hwang, Ceara Byrne, Johannes Kuosmann, Keiko Ishida, Joshua Jenkins, Sabrina Liu, Wiam Abdalla Mohammed Madani, Alison Hayward, and Niora Fabian.

The research was funded by the National Institutes of Health, Novo Nordisk, the Department of Mechanical Engineering at MIT, a Schmidt Science Fellowship, and the National Science Foundation.

Kudos to our NDI Certified Partners! – Videoguys

Kudos to our NDI Certified Partners! – Videoguys

Discover how NDI’s cutting-edge Certified program is reshaping the landscape of video connectivity. Explore the benefits of NDI Certified devices, ensuring consistent performance, simplified scalability, and reduced troubleshooting for innovative applications in education and business communication.

In the rapidly evolving world of video connectivity, NDI takes center stage with its game-changing “NDI Certified program.” Dive into this blog post from Yahoo Finance to understand how NDI is leading the charge in shaping the next generation of products, fostering harmonious interoperability within the dynamic NDI ecosystem.

  1. NDI Dominance in IP-Based Technology:

    • According to Haivision’s Broadcast Transformation Report 2023, NDI stands out as the most widely used IP-based technology among global broadcast professionals.
  2. NDI Certified Program Essentials:

    • Learn how the NDI Certified program ensures that every new device and advancement adheres to NDI standards, guaranteeing an enhanced connectivity experience for end users and manufacturers alike.
  3. Impressive Roster of Certified Devices:

    • Explore a comprehensive list of over 50 certified devices from renowned companies like Atomos, JVC, Panasonic, and more, offering seamless communication, data exchange, and functionality.
  4. Thorough Testing Criteria:

    • Delve into the meticulous testing conducted by the NDI team, covering aspects such as interoperability, latency, image compression and quality, supported formats, and codecs.
  5. Benefits of NDI Certified Products:

    • Uncover the advantages of NDI Certified devices, including consistent performance, simplified scalability, reduced troubleshooting, and increased interoperability within the NDI ecosystem.
  6. Industry Professionals’ Testimonials:

    • Gain insights from industry leaders, such as Steven Liang, VP of Product Development at Lumens, on how the NDI Certification Program has positively impacted product development and customer confidence.
  7. Growing NDI Ecosystem:

    • Understand the vastness of the NDI community and the diverse array of certified products available through the NDI Product Finder, facilitating easy access for AV installers, professionals, and users.
  8. Future Certification Plans:

    • Get a glimpse into NDI’s future plans, including the expansion of certification to include software later in the year and the certification of additional device categories in 2024.

As the popularity of NDI continues to soar globally, the NDI Certified program emerges as a beacon of trust and reliability in the AV over IP landscape. Empower your creativity, communication, and collaboration with NDI Certified devices—explore the revolution in video connectivity today!

Read the full blog post from Yahoo Finance HERE


Leveraging language to understand machines

Leveraging language to understand machines

Natural language conveys ideas, actions, information, and intent through context and syntax; further, there are volumes of it contained in databases. This makes it an excellent source of data to train machine-learning systems on. Two master’s of engineering students in the 6A MEng Thesis Program at MIT, Irene Terpstra ’23 and Rujul Gandhi ’22, are working with mentors in the MIT-IBM Watson AI Lab to use this power of natural language to build AI systems.

As computing is becoming more advanced, researchers are looking to improve the hardware that they run on; this means innovating to create new computer chips. And, since there is literature already available on modifications that can be made to achieve certain parameters and performance, Terpstra and her mentors and advisors Anantha Chandrakasan, MIT School of Engineering dean and the Vannevar Bush Professor of Electrical Engineering and Computer Science, and IBM’s researcher Xin Zhang, are developing an AI algorithm that assists in chip design.

“I’m creating a workflow to systematically analyze how these language models can help the circuit design process. What reasoning powers do they have, and how can it be integrated into the chip design process?” says Terpstra. “And then on the other side, if that proves to be useful enough, [we’ll] see if they can automatically design the chips themselves, attaching it to a reinforcement learning algorithm.”

To do this, Terpstra’s team is creating an AI system that can iterate on different designs. It means experimenting with various pre-trained large language models (like ChatGPT, Llama 2, and Bard), using an open-source circuit simulator language called NGspice, which has the parameters of the chip in code form, and a reinforcement learning algorithm. With text prompts, researchers will be able to query how the physical chip should be modified to achieve a certain goal in the language model and produced guidance for adjustments. This is then transferred into a reinforcement learning algorithm that updates the circuit design and outputs new physical parameters of the chip.

“The final goal would be to combine the reasoning powers and the knowledge base that is baked into these large language models and combine that with the optimization power of the reinforcement learning algorithms and have that design the chip itself,” says Terpstra.

Rujul Gandhi works with the raw language itself. As an undergraduate at MIT, Gandhi explored linguistics and computer sciences, putting them together in her MEng work. “I’ve been interested in communication, both between just humans and between humans and computers,” Gandhi says.

Robots or other interactive AI systems are one area where communication needs to be understood by both humans and machines. Researchers often write instructions for robots using formal logic. This helps ensure that commands are being followed safely and as intended, but formal logic can be difficult for users to understand, while natural language comes easily. To ensure this smooth communication, Gandhi and her advisors Yang Zhang of IBM and MIT assistant professor Chuchu Fan are building a parser that converts natural language instructions into a machine-friendly form. Leveraging the linguistic structure encoded by the pre-trained encoder-decoder model T5, and a dataset of annotated, basic English commands for performing certain tasks, Gandhi’s system identifies the smallest logical units, or atomic propositions, which are present in a given instruction.

“Once you’ve given your instruction, the model identifies all the smaller sub-tasks you want it to carry out,” Gandhi says. “Then, using a large language model, each sub-task can be compared against the available actions and objects in the robot’s world, and if any sub-task can’t be carried out because a certain object is not recognized, or an action is not possible, the system can stop right there to ask the user for help.”

This approach of breaking instructions into sub-tasks also allows her system to understand logical dependencies expressed in English, like, “do task X until event Y happens.” Gandhi uses a dataset of step-by-step instructions across robot task domains like navigation and manipulation, with a focus on household tasks. Using data that are written just the way humans would talk to each other has many advantages, she says, because it means a user can be more flexible about how they phrase their instructions.

Another of Gandhi’s projects involves developing speech models. In the context of speech recognition, some languages are considered “low resource” since they might not have a lot of transcribed speech available, or might not have a written form at all. “One of the reasons I applied to this internship at the MIT-IBM Watson AI Lab was an interest in language processing for low-resource languages,” she says. “A lot of language models today are very data-driven, and when it’s not that easy to acquire all of that data, that’s when you need to use the limited data efficiently.” 

Speech is just a stream of sound waves, but humans having a conversation can easily figure out where words and thoughts start and end. In speech processing, both humans and language models use their existing vocabulary to recognize word boundaries and understand the meaning. In low- or no-resource languages, a written vocabulary might not exist at all, so researchers can’t provide one to the model. Instead, the model can make note of what sound sequences occur together more frequently than others, and infer that those might be individual words or concepts. In Gandhi’s research group, these inferred words are then collected into a pseudo-vocabulary that serves as a labeling method for the low-resource language, creating labeled data for further applications.

The applications for language technology are “pretty much everywhere,” Gandhi says. “You could imagine people being able to interact with software and devices in their native language, their native dialect. You could imagine improving all the voice assistants that we use. You could imagine it being used for translation or interpretation.”

The Top 10 Switch Games

The Top 10 Switch Games

The Nintendo Switch has an incredibly strong library of games, with many worth recommending. For our 10 absolute favorite games, however, you can check out the list below. We will update this list as often as games worthy of inclusion release.

Please note that while the list below contains 10 entries, we aren’t actually ranking them – if a game has made it this far (and managed to stay here), it’s a must-play, period. As such, we’ll be listing entries in reverse chronological order. Also, you’ll find a rundown of previous entries at the bottom of the list. While those titles have gotten bumped for bigger and better experiences, they are still all great games in their own right and worth exploring if you’re already caught up on the latest hits.

Here are Game Informer’s picks for the top 10 games on the Switch.