David Woollard, CTO at Standard AI – Interview Series

David Woollard is the Chief Technology Officer (CTO) at Standard AI. He is a tech industry veteran with over 20 years of experience, having worked at companies like Samsung and NASA, and as an entrepreneur at both early and late-stage startups. He holds a PhD in…

Understanding Gutenberg Blocks, Patterns, and Templates

Developers suffer in the great multitudes whom their sacred block-based websites cannot reach.
Johannes Gutenberg (probably)
Long time WordPresser, first time Gutenberger here. I’m a fan even though I’m still anchored to a classic/block hybrid setup. I believe Johanes himself …

Understanding Gutenberg Blocks, Patterns, and Templates originally published…

Jeromy Young Returns to Atomos: Insights from the CEO on the Future of – Videoguys

In this article from Film and Digital Times, Jon Fauer interviews Jeromy Young, the CEO and co-founder of Atomos, about his return to the company and his vision for its future. Jeromy shares his deep passion for the video production industry and explains why he decided to rejoin Atomos after a brief hiatus. With his extensive experience at companies like Canopus Video Corporation and Blackmagic Design, Jeromy has been instrumental in the development of innovative video production tools, leading to the founding of Atomos.

Jeromy discusses his time away from Atomos, during which he gained valuable insights by observing the company as an investor. He noticed that while Atomos had made significant advancements in cloud connectivity and internet features, these innovations were not being communicated effectively to their target audience. Upon his return, Jeromy focused on simplifying these technologies to make them more accessible to Atomos’s core customers, including videographers and cinematographers. By doing so, he aims to enhance collaborative workflows and real-time production capabilities, empowering users to deliver high-quality video content.

In addition to refining existing products, Jeromy outlines Atomos’s commitment to innovation with the introduction of new tools and services. This includes enhanced recording features and cloud-based workflows that streamline production processes, allowing filmmakers to work more efficiently. One of the most exciting developments is Atomos’s entry into the LED lighting market with their upcoming product, Sun Dragon. These LED lights are designed to offer flexibility, portability, and full-spectrum daylight matching, providing filmmakers with versatile lighting solutions that are easy to use and adapt to different shooting environments.

Overall, this interview with Jeromy Young provides a comprehensive look at the future of Atomos and its dedication to democratizing high-quality video production. By making professional-grade tools more accessible, Atomos is helping content creators and filmmakers elevate their work and achieve their creative visions. Whether you’re a seasoned cinematographer or a budding videographer, Atomos’s innovative products and solutions are designed to meet your needs and enhance your production capabilities

Read the full article by Jon Fauer for Film and Digital Times HERE

Learn more about Atomos below:

Scientists find neurons that process language on different timescales

Using functional magnetic resonance imaging (fMRI), neuroscientists have identified several regions of the brain that are responsible for processing language. However, discovering the specific functions of neurons in those regions has proven difficult because fMRI, which measures changes in blood flow, doesn’t have high enough resolution to reveal what small populations of neurons are doing.

Now, using a more precise technique that involves recording electrical activity directly from the brain, MIT neuroscientists have identified different clusters of neurons that appear to process different amounts of linguistic context. These “temporal windows” range from just one word up to about six words.

The temporal windows may reflect different functions for each population, the researchers say. Populations with shorter windows may analyze the meanings of individual words, while those with longer windows may interpret more complex meanings created when words are strung together.

“This is the first time we see clear heterogeneity within the language network,” says Evelina Fedorenko, an associate professor of neuroscience at MIT. “Across dozens of fMRI experiments, these brain areas all seem to do the same thing, but it’s a large, distributed network, so there’s got to be some structure there. This is the first clear demonstration that there is structure, but the different neural populations are spatially interleaved so we can’t see these distinctions with fMRI.”

Fedorenko, who is also a member of MIT’s McGovern Institute for Brain Research, is the senior author of the study, which appears today in Nature Human Behavior. MIT postdoc Tamar Regev and Harvard University graduate student Colton Casto are the lead authors of the paper.

Temporal windows

Functional MRI, which has helped scientists learn a great deal about the roles of different parts of the brain, works by measuring changes in blood flow in the brain. These measurements act as a proxy of neural activity during a particular task. However, each “voxel,” or three-dimensional chunk, of an fMRI image represents hundreds of thousands to millions of neurons and sums up activity across about two seconds, so it can’t reveal fine-grained detail about what those neurons are doing.

One way to get more detailed information about neural function is to record electrical activity using electrodes implanted in the brain. These data are hard to come by because this procedure is done only in patients who are already undergoing surgery for a neurological condition such as severe epilepsy.

“It can take a few years to get enough data for a task because these patients are relatively rare, and in a given patient electrodes are implanted in idiosyncratic locations based on clinical needs, so it takes a while to assemble a dataset with sufficient coverage of some target part of the cortex. But these data, of course, are the best kind of data we can get from human brains: You know exactly where you are spatially and you have very fine-grained temporal information,” Fedorenko says.

In a 2016 study, Fedorenko reported using this approach to study the language processing regions of six people. Electrical activity was recorded while the participants read four different types of language stimuli: complete sentences, lists of words, lists of non-words, and “jabberwocky” sentences — sentences that have grammatical structure but are made of nonsense words.

Those data showed that in some neural populations in language processing regions, activity would gradually build up over a period of several words, when the participants were reading sentences. However, this did not happen when they read lists of words, lists of nonwords, of Jabberwocky sentences.

In the new study, Regev and Casto went back to those data and analyzed the temporal response profiles in greater detail. In their original dataset, they had recordings of electrical activity from 177 language-responsive electrodes across the six patients. Conservative estimates suggest that each electrode represents an average of activity from about 200,000 neurons. They also obtained new data from a second set of 16 patients, which included recordings from another 362 language-responsive electrodes.

When the researchers analyzed these data, they found that in some of the neural populations, activity would fluctuate up and down with each word. In others, however, activity would build up over multiple words before falling again, and yet others would show a steady buildup of neural activity over longer spans of words.

By comparing their data with predictions made by a computational model that the researchers designed to process stimuli with different temporal windows, the researchers found that neural populations from language processing areas could be divided into three clusters. These clusters represent temporal windows of either one, four, or six words.

“It really looks like these neural populations integrate information across different timescales along the sentence,” Regev says.

Processing words and meaning

These differences in temporal window size would have been impossible to see using fMRI, the researchers say.

“At the resolution of fMRI, we don’t see much heterogeneity within language-responsive regions. If you localize in individual participants the voxels in their brain that are most responsive to language, you find that their responses to sentences, word lists, jabberwocky sentences and non-word lists are highly similar,” Casto says.

The researchers were also able to determine the anatomical locations where these clusters were found. Neural populations with the shortest temporal window were found predominantly in the posterior temporal lobe, though some were also found in the frontal or anterior temporal lobes. Neural populations from the two other clusters, with longer temporal windows, were spread more evenly throughout the temporal and frontal lobes.

Fedorenko’s lab now plans to study whether these timescales correspond to different functions. One possibility is that the shortest timescale populations may be processing the meanings of a single word, while those with longer timescales interpret the meanings represented by multiple words.

“We already know that in the language network, there is sensitivity to how words go together and to the meanings of individual words,” Regev says. “So that could potentially map to what we’re finding, where the longest timescale is sensitive to things like syntax or relationships between words, and maybe the shortest timescale is more sensitive to features of single words or parts of them.”

The research was funded by the Zuckerman-CHE STEM Leadership Program, the Poitras Center for Psychiatric Disorders Research, the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University, the U.S. National Institutes of Health, an American Epilepsy Society Research and Training Fellowship, the McDonnell Center for Systems Neuroscience, Fondazione Neurone, the McGovern Institute, MIT’s Department of Brain and Cognitive Sciences, and the Simons Center for the Social Brain.

Pursuing the secrets of a stealthy parasite

Toxoplasma gondii, the parasite that causes toxoplasmosis, is believed to infect as much as one-third of the world’s population. Many of those people have no symptoms, but the parasite can remain dormant for years and later reawaken to cause disease in anyone who becomes immunocompromised.

Why this single-celled parasite is so widespread, and what triggers it to reemerge, are questions that intrigue Sebastian Lourido, an associate professor of biology at MIT and member of the Whitehead Institute for Biomedical Research. In his lab, research is unraveling the genetic pathways that help to keep the parasite in a dormant state, and the factors that lead it to burst free from that state.

“One of the missions of my lab to improve our ability to manipulate the parasite genome, and to do that at a scale that allows us to ask questions about the functions of many genes, or even the entire genome, in a variety of contexts,” Lourido says.

Video: Smith Family Foundation

There are drugs that can treat the acute symptoms of Toxoplasma infection, which include headache, fever, and inflammation of the heart and lungs. However, once the parasite enters the dormant stage, those drugs don’t affect it. Lourido hopes that his lab’s work will lead to potential new treatments for this stage, as well as drugs that could combat similar parasites such as a tickborne parasite known as Babesia, which is becoming more common in New England.

“There are a lot of people who are affected by these parasites, and parasitology often doesn’t get the attention that it deserves at the highest levels of research. It’s really important to bring the latest scientific advances, the latest tools, and the latest concepts to the field of parasitology,” Lourido says.

A fascination with microbiology

As a child in Cali, Colombia, Lourido was enthralled by what he could see through the microscopes at his mother’s medical genetics lab at the University of Valle del Cauca. His father ran the family’s farm and also worked in government, at one point serving as interim governor of the state.

“From my mom, I was exposed to the ideas of gene expression and the influence of genetics on biology, and I think that really sparked an early interest in understanding biology at a fundamental level,” Lourido says. “On the other hand, my dad was in agriculture, and so there were other influences there around how the environment shapes biology.”

Lourido decided to go to college in the United States, in part because at the time, in the early 2000s, Colombia was experiencing a surge in violence. He was also drawn to the idea of attending a liberal arts college, where he could study both science and art. He ended up going to Tulane University, where he double-majored in fine arts and cell and molecular biology.

As an artist, Lourido focused on printmaking and painting. One area he especially enjoyed was stone lithography, which involves etching images on large blocks of limestone with oil-based inks, treating the images with chemicals, and then transferring the images onto paper using a large press.

“I ended up doing a lot of printmaking, which I think attracted me because it felt like a mode of expression that leveraged different techniques and technical elements,” he says.

At the same time, he worked in a biology lab that studied Daphnia, tiny crustaceans found in fresh water that have helped scientists learn about how organisms can develop new traits in response to changes to their environment. As an undergraduate, he helped develop ways to use viruses to introduce new genes into Daphnia. By the time he graduated from Tulane, Lourido had decided to go into science rather than art.

“I had really fallen in love with lab science as an undergrad. I loved the freedom and the creativity that came from it, the ability to work in teams and to build on ideas, to not have to completely reinvent the entire system, but really be able to develop it over a longer period of time,” he says.

After graduating from college, Lourido spent two years in Germany, working at the Max Planck Institute for Infection Biology. In Arturo Zychlinksy’s lab, Lourido studied two bacteria known as Shigella and Salmonella, which can cause severe illnesses, including diarrhea. His studies there helped to reveal how these bacteria get into cells and how they modify the host cells’ own pathways to help them replicate inside cells.

As a graduate student at Washington University in St. Louis, Lourido worked in several labs focusing on different aspects of microbiology, including virology and bacteriology, but eventually ended up working with David Sibley, a prominent researcher specializing in Toxoplasma.

“I had not thought much about Toxoplasma before going to graduate school,” Lourido recalls. “I was pretty unaware of parasitology in general, despite some undergrad courses, which honestly very superficially treated the subject. What I liked about it was here was a system where we knew so little — organisms that are so different from the textbook models of eukaryotic cells.”

Toxoplasma gondii belongs to a group of parasites known as apicomplexans — a type of protozoans that can cause a variety of diseases. After infecting a human host, Toxoplasma gondii can hide from the immune system for decades, usually in cysts found in the brain or muscles. Lourido found the organism especially intriguing because as a 17-year-old, he had been diagnosed with toxoplasmosis. His only symptom was swollen glands, but doctors found that his blood contained antibodies against Toxoplasma.

“It is really fascinating that in all of these people, about a quarter to a third of the world’s population, the parasite persists. Chances are I still have live parasites somewhere in my body, and if I became immunocompromised, it would become a big problem. They would start replicating in an uncontrolled fashion,” he says.

A transformative approach

One of the challenges in studying Toxoplasma is that the organism’s genetics are very different from those of either bacteria or other eukaryotes such as yeast and mammals. That makes it harder to study parasitic gene functions by mutating or knocking out the genes.

Because of that difficulty, it took Lourido his entire graduate career to study the functions of just a couple of Toxoplasma genes. After finishing his PhD, he started his own lab as a fellow at the Whitehead Institute and began working on ways to study the Toxoplasma genome at a larger scale, using the CRISPR genome-editing technique.

With CRISPR, scientists can systematically knock out every gene in the genome and then study how each missing gene affects parasite function and survival.

“Through the adaptation of CRISPR to Toxoplasma, we’ve been able to survey the entire parasite genome. That has been transformative,” says Lourido, who became a Whitehead member and MIT faculty member in 2017. “Since its original application in 2016, we’ve been able to uncover mechanisms of drug resistance and susceptibility, trace metabolic pathways, and explore many other aspects of parasite biology.”

Using CRISPR-based screens, Lourido’s lab has identified a regulatory gene called BFD1 that appears to drive the expression of genes that the parasite needs for long-term survival within a host. His lab has also revealed many of the molecular steps required for the parasite to shift between active and dormant states.

“We’re actively working to understand how environmental inputs end up guiding the parasite in one direction or another,” Lourido says. “They seem to preferentially go into those chronic stages in certain cells like neurons or muscle cells, and they proliferate more exuberantly in the acute phase when nutrient conditions are appropriate or when there are low levels of immunity in the host.”

Agility Robotics’ Digit: A Glimpse into the Future of Automated Labor

In today’s fast-changing world, automation is reshaping industries incredibly, making robotics an essential part of the workforce. Agility Robotics is leading this exciting transformation with its advanced humanoid robots. Its flagship product, Digit, represents a groundbreaking leap forward in automated labor. Automation has long been a…

Generative AI Is Not a Death Sentence for Endangered Languages

According to UNESCO, up to half of languages could be extinct by 2100. Many people say generative AI is contributing to this process. The decline in language diversity didn’t start with AI—or the Internet. But AI is in a position to accelerate the demise of indigenous…

Jonathan Bean, CEO & Co-Founder of Materials Nexus – Interview Series

Jonathan Bean is the CEO & Co-Founder of Materials Nexus. With a background in both the theoretical and practical engineering sides of material science, Jonathan was quick to identify the opportunity for a new material modelling platform. Whilst a researcher at University of Cambridge he founded…

MIT Engineers Develop Groundbreaking Microscale Battery for Autonomous Robotics

The field of microscale robotics has long grappled with a fundamental challenge: how to provide sufficient power to autonomous devices small enough to navigate within the human body or industrial pipelines. Traditional power sources have been too large or inefficient for such applications, limiting the potential…