Science
The Science Philanthropy Alliance gets their first leader

The Science Philanthropy Alliance announced that from March 15th it will have its first President. It seems like the Donner Professor of Science at MIT, Mark Kastner will take a leave of absence to become the Alliance’s new leader. Professor Kastner had led MIT’s School of Science since 2007, home to approximately 300 faculties, amongst which the departments of Biology; Brain and Cognitive sciences; Chemestry; Earth, Atmospheric and Planetary Sciences; Mathematics and Physics are included. He is considered “a brilliant physicist and highly effective manager” by MIT President L. Rafael Reif and even President Barrack Obama intended to nominate him the head of the Office of Science at the Department of Energy, in 2013.
The Science Philanthropy Alliance founded by Gordon and Betty Moore Foundation, the Howard Hughes Medical Institute, The Kavli Foundation, The Research Corporation for Science Advancement, The Simons Foundation and the Alfred P. Sloan Foundation, aims to demonstrate the power of scientific discovery. To ensure this, they engage new philanthropists and non-profit institutions to support it and also seeks to increase the number of scientists, especially younger ones.
“This is a critical time for basic science, with federal support declining in real terms, even as the need for this research is more important than ever for providing the basis of new advances in medicine and technology, providing a deeper understanding of our place in the universe, and attracting young people to study mathematics and science,” Kastner said.
Mark Kastner was a member of MIT since 1973, became the director of the Center for Materials Science and Engineering in 1993 and remained a part of the Department of Physics until 2007 when he became the dean of the School of Science. This year, he accepted to become the President of the Science Philanthropy Alliance and he intends to promote philanthropic giving and investment to pioneer science research which is critical to our economic growth and quality of life.
Biology
The First 3D-Printed Vegan Salmon Is In Stores

Revo Foods’ “THE FILET – Inspired By Salmon” salmon fillet may be the first 3D-printed food to hit store shelves. said that firm CEO Robin Simsa remarked, “With the milestone of industrial-scale 3D food printing, we are entering a creative food revolution, an era where food is being crafted exactly according to customer needs.”
Mycoprotein from filamentous fungi is used to make the salmon alternative and other meat substitutes. Vitamins and omega-3 fatty acids are in the product, like in animals. Is high in protein, at 9.5 grams per 100 grams, although less than conventional salmon.
Revo Foods and Mycorena developed 3D-printable mycoprotein. Years of research have led to laser-cooked cheesecakes and stacked lab-grown meats.
One reason for this push is because printed food alternatives may make food production more sustainable, which worries the fishing sector. Overfishing reduces fish populations in 34% of worldwide fish stocks.
Over 25% of worldwide greenhouse gas emissions come from food production, with 31% from livestock and fish farms and 18% from supply chain components including processing and shipping. According to Revo Foods’ website, vegan salmon fillet production consumes 77 to 86% less carbon dioxide and 95% less freshwater than conventional salmon harvesting and processing.
The salmon alternative’s sales potential is unknown. In order to succeed, Revo Foods believes that such goods must “recreate an authentic taste that appeals to the flexitarian market.”
The commercial distribution of 3D-printed food could change food production.
Artificial Intelligence
Open-source Microsoft Novel protein-generating AI EvoDiff

All diseases are based on proteins, natural molecules that perform vital cellular functions. Characterizing proteins can reveal disease mechanisms and ways to slow or reverse them, while creating proteins can lead to new drug classes.
The lab’s protein design process is computationally and human resource-intensive. It involves creating a protein structure that could perform a specific function in the body and then finding a protein sequence that could “fold” into that structure. To function, proteins must fold correctly into three-dimensional shapes.
Not everything has to be complicated.
Microsoft introduced EvoDiff, a general-purpose framework that generates “high-fidelity,” “diverse” proteins from protein sequences, this week. Unlike other protein-generating frameworks, EvoDiff doesn’t need target protein structure, eliminating the most laborious step.
Microsoft senior researcher Kevin Yang says EvoDiff, which is open source, could be used to create enzymes for new therapeutics, drug delivery, and industrial chemical reactions.
Yang, one of EvoDiff’s co-creators, told n an email interview that the platform will advance protein engineering beyond structure-function to sequence-first design. EvoDiff shows that ‘protein sequence is all you need’ to controllably design new proteins.
A 640-million-parameter model trained on data from all protein species and functional classes underpins EvoDiff. “Parameters” are the parts of an AI model learned from training data that define its skill at a problem, in this case protein generation. The model was trained using OpenFold sequence alignment data and UniRef50, a subset of UniProt, the UniProt consortium’s protein sequence and functional information database.
Modern image-generating models like Stable Diffusion and DALL-E 2 are diffusion models like EvoDiff. EvoDiff slowly subtracts noise from a protein made almost entirely of noise to move it closer to a protein sequence.
Beyond image generation, diffusion models are being used to design novel proteins like EvoDiff, create music, and synthesize speech.
“If there’s one thing to take away [from EvoDiff], I think it’s this idea that we can — and should — do protein generation over sequence because of the generality, scale, and modularity we can achieve,” Microsoft senior researcher Ava Amini, another co-contributor, said via email. “Our diffusion framework lets us do that and control how we design these proteins to meet functional goals.”
EvoDiff can create new proteins and fill protein design “gaps,” as Amini noted. A protein amino acid sequence that meets criteria can be generated by the model from a part that binds to another protein.
EvoDiff can synthesize “disordered proteins” that don’t fold into a three-dimensional structure because it designs proteins in “sequence space” rather than structure. Disordered proteins enhance or decrease protein activity in biology and disease, like normal proteins.
EvoDiff research isn’t peer-reviewed yet. Microsoft data scientist Sarah Alamdari says the framework needs “a lot more scaling work” before it can be used commercially.
“This is just a 640-million-parameter model, and we may see improved generation quality if we scale up to billions,” Alamdari emailed. WeAI emonstrated some coarse-grained strategies, but to achieve even finer control, we would want to condition EvoDiff on text, chemical information, or other ways to specify the desired function.”
Next, the EvoDiff team will test the model’s lab-generated proteins for viability. Those who are will start work on the next framework.
Astronomy
NASA Will Make a Big Announcement About Unidentified Anomalies

NASA will release a major report on UFOs, or “unidentified anomalous phenomena” (UAP).
The briefing will be held at the agency’s Washington DC headquarters at 10:00 EDT (14:00 UTC) on Thursday, September 14. The video player below streams the discussion live.
NASA commissioned an independent study group of 16 scientific, aeronautical, and data experts led by astrophysicist David Spergel in 2022 to produce the findings.
NASA says the study group will “examine UAP from a scientific perspective and create a roadmap for how to use data and the tools of science to move our understanding of UAP forward.”
The team’s full report will be posted online by NASA 30 minutes before the briefing.
This report will be released in accordance with NASA’s openness, transparency, and scientific integrity. When the study was announced last year, NASA’s Science Mission Directorate assistant deputy associate administrator for research, Daniel Evans, said, “We take that obligation seriously and make it easily accessible for anyone to see or study.”
UAP sightings were once the domain of conspiracy theorists and sci-fi, but recent high-profile US military sightings have legitimized them.
US authorities are taking UAPs seriously because they may be Russian or Chinese experimental aircraft being tested for national security.
Also possible is extraterrestrial life. NASA is open to all possibilities, but this week’s announcement won’t reveal alien lifeforms visiting Earth.
Instead, the report may outline new protocols to help the agency collect UAP data in the future.
“The report informs NASA of future data collection opportunities to shed light on UAP’s nature and origin. The announcement’s brief NASA statement said the report is not a review or assessment of previous unidentifiable observations.
“There are currently a limited number of high-quality observations of UAP, which make it impossible to draw firm scientific conclusions about their nature,” the agency said.
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