Lifeboat Foundation

Researchers at Monash University have developed an artificial intelligence (AI) model that significantly improves the accuracy of four-dimensional scanning transmission electron microscopy (4D STEM) images.

Called unsupervised deep denoising, this model could be a game-changer for studying materials that are easily damaged during imaging, like those used in batteries and solar cells.

The research from Monash University’s School of Physics and Astronomy, and the Monash Center of Electron Microscopy, presents a novel machine learning method for denoising large electron microscopy datasets. The study was published in npj Computational Materials.

Science laboratories across disciplines—chemistry, biochemistry and materials science—are on the verge of a sweeping transformation as robotic automation and AI lead to faster and more precise experiments that unlock breakthroughs in fields like health, energy and electronics.

This is according to UNC-Chapel Hill researchers in a paper titled “Transforming Science Labs into Automated Factories of Discovery,” published in Science Robotics.

“Today, the development of new molecules, materials and chemical systems requires intensive human effort,” said Dr. Ron Alterovitz, senior author of the paper and Lawrence Grossberg Distinguished Professor in the Department of Computer Science. “Scientists must design experiments, synthesize materials, analyze results and repeat the process until desired properties are achieved.”

By Chuck Brooks & Dr. Thomas A. Cellucci, MBA

Co-written by Chuck Brooks and Dr. Thomas A. Cellucci, MBA

Verticals that will be most impacted by innovative developments in technology and science are the disciplines of medicine, biotechnology, and health. Those industry verticals will see a profound growth of technological innovation in the near future.

Continue reading “Future Medicine: Physics, Biology, And AI Will Transform Human Health” »

Researchers have identified genes influencing muscle aging, including USP54, using AI analysis of gene expression data. These findings may lead to drug discovery and exercise-based interventions targeting muscle mass preservation.

I believe that the next generation of AI turing machines will be conscious turing machines that no longer read just tape but have their own consciousness that allows them to fix code or even be aware of its own code and fix it if it gets a virus.

Shared from Wolfram Cloud.

Kaiser, J., Xu, C., Eichler, A. et al. Sci Rep 14, 15,733 (2024). https://doi.org/10.1038/s41598-024-66263-y.

Now AI Agents can do low-level work on your laptop. Paper pushers are on notice: the bots are coming for your job.

Anthropic just showed off a new trick — its AI assistant Claude can now take over your computer’s mouse and keyboard, clicking and typing its way through tasks while you sit and watch. All you have to do is tell it what you want done.

Continue reading “Watch Claude AI take control of a computer and build its own website from scratch” »

A type of mathematical problem that was previously impossible to solve can now be successfully analysed with artificial intelligence.

By Chris Stokel-Walker

The great George Church takes us through the revolutionary journey of DNA sequencing from his early groundbreaking work to the latest advancements. He discusses the evolution of sequencing methods, including molecular multiplexing, and their implications for understanding and combating aging.

We talk about the rise of biotech startups, potential future directions in genome sequencing, the role of precise gene therapies, the ongoing integration of nanotechnology and biology, the potential of biological engineering in accelerating evolution, transhumanism, the Human Genome Project, and the importance of intellectual property in biotechnology.

Continue reading “Synthetic Biology: George Church on Genome Sequencing and De-Extinction” »