Lifeboat Foundation

The integration of mechanical memory in the form of springs has for hundreds of years proven to be a key enabling technology for mechanical devices (such as clocks), achieving advanced functionality through complex autonomous movements. Currently, the integration of springs in silicon-based microtechnology has opened the world of planar mass-producible mechatronic devices from which we all benefit, via air-bag sensors for example.

For a new generation of minimally and even non-invasive biomedical applications however, mobile devices that can safely interact mechanically with cells must be achieved at much smaller scales (10 microns) and with much softer forces (pico Newton scale, i.e., lifting weights less than one millionth of a mg) and in customized three-dimensional shapes.

Researchers at the Chemnitz University of Technology, the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences and the Leibniz IFW Dresden, in a recent publication in Nature Nanotechnology, have demonstrated that controllable springs can be integrated at arbitrary chosen locations within soft three-dimensional structures using confocal photolithographic manufacturing (with nanoscale precision) of a novel magnetically active material in the form of a photoresist impregnated with customizable densities of magnetic nanoparticles.

Scientists have grown a tiny brain-like organoid out of human stem cells, hooked it up to a computer, and demonstrated its potential as a kind of organic machine learning chip, showing it can quickly pick up speech recognition and math predictions.

Clusters of brain cells grown in the lab have shown potential as a new type of hybrid bio-computer.

This post is also available in: עברית (Hebrew)

A new report by Computer scientists from the National Institute of Standards and Technology presents new kinds of cyberattacks that can “poison” AI systems.

AI systems are being integrated into more and more aspects of our lives, from driving vehicles to helping doctors diagnose illnesses to interacting with customers as online chatbots. To perform these tasks the models are trained on vast amounts of data, which in turn helps the AI predict how to respond in a given situation.

The first Artemis robotic launch to the Moon … An Artemis lunar robotic rover is halfway built … And an up-close look at a volcanic moon … A few of the stories to tell you about – This Week at NASA! https://youtu.be/PIg5syFH7qg The First Commercial Robotic Launch to the Lunar Surface U.

Sometimes big science comes in small packages.

This morning in breaking news, Brett Adcock CEO of Figure Robotics, dropped a mind-blowing demo showing that their Figure 1 robot can now do end-to-end AI training. This demo of the bot now able to make coffee is just one of many applications that they are promising the bot can do. Robotics expert Dr. Scott Walter does a comparison with Tesla Bot and Google’s Mobile ALOHA Scott Walter is an Aerospace Engineer with a Ph.D. in Mechanical Engineering and has co-founded two robotics companies Follow Scott on X @GoingBallistic5 Get Free TESLA Milestone Tables M.

Eli Lilly & Novartis are entering a strategic research collaboration with Isomorphic Labs to use state-of-the-art AI technologies—including the next-gen model of #AlphaFold—to discover novel small molecule therapeutics for select biological targets.

We are reimagining the entire drug discovery process from first principles with an AI-first approach.

🌟 Unlock Your Creative Potential with Pictory.ai! 🎨Looking to level up your design game? Look no further! Explore the amazing world of design with Pictory…

And as someone who’s spent the past year experimenting with generative A.I., I’ve thought a lot about the connection between interacting with one and with the other.

Generative A.I. is often described as being in its infancy. The truth is a little more of a handful.