Lifeboat Foundation

Researchers at the Texas A&M College of Veterinary Medicine and Biomedical Sciences (VMBS) are helping uncover new information about the Y chromosome in horses, which will help owners identify optimal lineages for breeding and help conservationists preserve breed diversity.

“Because of its complex structure, the Y chromosome is much harder to sequence, making our knowledge of it far from complete,” said Dr. Gus Cothran, a professor emeritus in the VMBS’ Department of Veterinary Integrative Biosciences (VIBS). “In fact, scientists used to believe that the Y chromosome lacked genetic variety, which we believed meant that it didn’t contribute much to species diversity.”

However, Cothran’s new research collaboration, led by the University of Veterinary Medicine Vienna, has uncovered that the Y chromosome does have meaningful variation and is important for species diversity.

A new theory that explains how light and matter interact at the quantum level has enabled researchers to define for the first time the precise shape of a single photon.

Research at the University of Birmingham, published in Physical Review Letters, explores the nature of photons (individual particles of light) in unprecedented detail to show how they are emitted by atoms or molecules and shaped by their environment.

The nature of this interaction leads to infinite possibilities for light to exist and propagate, or travel, through its surrounding environment. This limitless possibility, however, makes the interactions exceptionally hard to model, and is a challenge that quantum physicists have been working to address for several decades.

These invisible signals could be the key to it all.

In the early days of Silicon Valley’s 3D graphics boom, Nvidia stood out as the only company to survive out of about 200 competitors.

The key to its success was a relentless focus on semiconductor technology and a commitment to improving processors every year, even when customers didn’t ask for it.

The company believed that true innovation meant anticipating future needs, not just responding to what people wanted at the time. This vision ultimately helped Nvidia become a leader in the industry.

And that “things are going to go a lot faster than people are appreciating right now” — - — 👉 Before you go 👋 If you want to keep up with the latest news on AI startups and how they’re changing the world, join 1000+ subscribers reading our newsletter for FREE! Link in bio. — - — #samaltman #agi #largelanguagemodels #openai #samaltmanquotes #aistartup #artificialgeneralintelligence #todayinai

Before you go 👋 If you want to keep up with the latest news on AI startups and how they’re changing the world, join 1000+ subscribers reading our newsletter for FREE! Link in bio. — - — #samaltman #openai #chatgpt #curecancer #samaltmanquotes #todayinai

Elon Musk’s bet on the incoming Trump administration is starting to pay off handsomely, with autonomous vehicle permits heading Tesla’s way.

Google is committing $20 million in cash and $2 million in cloud credits to a new funding initiative designed to help scientists and researchers unearth the next great scientific breakthroughs using artificial intelligence (AI).

The announcement, made by Google DeepMind co-founder and CEO Demis Hassabis during a fireside chat at the closed-door AI for Science Forum in London today, feeds into a broader push by Big Tech to curry favor with young innovators and startups, a strategy that has included acqui-hires, equity investments, and cloud partnerships — some of which has attracted the attentions of regulators.

This latest announcement, via Google’s 19-year-old philanthropic arm Google.org, is different in that it centers on non-equity funding for academic and non-for-profit institutions globally. But similar to other Big Tech funding and partnership initiatives, this will go some way toward helping Google ingratiate itself with some of the leading scientific minds, through direct cash injections and by providing infrastructure to power their projects. In turn, this positions Google well to acquire future customers — particularly those currently on the cusp of doing great things, working on projects that require significant AI tooling and compute, which Google can provide.