Lifeboat Foundation

EPFL finds an advanced image compression technique.

EPFL researchers have developed a machine-learning approach for compressing image data more accurately than learning-free computation methods.

Famous physicists have brought to us novel theories that explain the world around us. AI can also do the same if we guide it to do so.

Researchers at the German institute trained an AI model to look into simpler interactions in larger complex systems, much like how physicists do.

The newly understood text thought to be from Epicurean philosopher Philodemus, talks about music, food, and enjoying life.

A grand prize of $700,000 has been awarded to three scholars for producing the first readable text of the scrolls that were charred during the Mount Vesuvian eruption in 79 AD.

The development of a new theory is typically associated with the greats of physics. You might think of Isaac Newton or Albert Einstein, for example. Many Nobel Prizes have already been awarded for new theories.

Researchers at Forschungszentrum Jülich have now programmed an artificial intelligence that has also mastered this feat. Their AI is able to recognize patterns in complex data sets and to formulate them in a physical theory. The findings are published in the journal Physical Review X.

In the following interview, Prof. Moritz Helias from Forschungszentrum Jülich’s Institute for Advanced Simulation (IAS-6) explains what the “Physics of AI” is all about and to what extent it differs from conventional approaches.

In the future, modern machines should not only follow algorithms quickly and precisely, but also function intelligently—in other words, in a way that resembles the human brain. Scientists from Dortmund, Loughborough, Kiev and Nottingham have now developed a concept inspired by eyesight that could make future artificial intelligence much more compact and efficient.

They built an on-chip phonon-magnon reservoir for neuromorphic computing which has recently been featured as Editor’s Highlight by Nature Communications.

The human sensory organs convert information such as light or scent into a signal that the brain processes through myriads of neurons connected by even more synapses. The ability of the brain to train, namely transform synapses, combined with the neurons’ huge number, allows humans to process very complex external signals and quickly form a response to them.

We’ve updated our list of the best longevity experts on Twitter/X and added 8 new accounts, including Dr. Morgan Levine, Dr. Brad Stanfield, and the research journal Nature Aging!

Best known for his popular longevity YouTube channel, Stanfield is a medical doctor with an interest in longevity science. Like some other folks on this list of longevity influencers, Stanfield can be a bit iconoclastic, challenging orthodoxy on things like resveratrol and fisetin.

Just like in his well-sourced videos, Stanfield’s Twitter feed is heavy with links to research papers and studies on longevity-related topics, from recent mouse studies out of the Interventions Testing Program, to threads on diet based on new trials. The downside is in his Twitter feed you don’t get to hear that sweet Kiwi accent you get from his videos.

Followers: 24,000

Continue reading “21 Best Longevity Experts and Influencers on Twitter/X” »

I’m excited to share my latest Opinion article on AI at The Hill, a top political site/paper read by the White House and Congress:

Regardless what politicians promise, this age of AI and robots will also affect the size and growth rates of the U.S. government. Federal and state government may not immediately take up with automation and AI to the extent the private sector does, but eventually the stark rationality of lower overhead expenses—and thus lower taxes for citizens—will prevail.

This is a good thing. A smaller, nimble, more efficient government will benefit the majority of people.

Continue reading “AI can stop government from growing, and that’s a good thing” »

Copilot, Microsoft’s family of AI-powered chatbots and assistants, is getting a few new upgrades timed with a flashy Super Bowl LVIII ad campaign.

Microsoft is rolling out upgrades to Copilot, its family of GenAI tools, timed with a new Super Bowl ad campaign.

Continue reading “Microsoft brings new design-focused features to Copilot” »

To create the breakthrough model, researchers integrated two cutting-edge #AI techniques for the first time in the fields of #bioinformatics and #Cheminformatics : the well-known “Encoder-Decoder Transformer architecture” and “Reinforcement Learning via Monte Carlo Tree Search” (RL-MCTS).

Generative artificial intelligence platforms, from ChatGPT to Midjourney, grabbed headlines in 2023. But GenAI can do more than create collaged images and help write emails—it can also design new drugs to treat disease.

Today, scientists use advanced technology to design new synthetic drug compounds with the right properties and characteristics, also known as “de novo drug design.” However, current methods can be labor-, time-, and cost-intensive.

Continue reading “Scientists code ChatGPT to design new medicine” »