MatterGen, a generative AI tool that tackles materials discovery from a different angle. Instead of screening the candidates…It can generate materials with desired chemistry, mechanical, electronic, or magnetic properties, as well as combinations of different constraints.

Proteins made using machine learning successfully bind snake toxins — plus, Earth’s temperature breaks a significant climate threshold for the first time.

The BioNeMo Blueprint...leverages generative AI to intelligently navigate the immense search space, guiding researchers towards stable and structurally constrained protein binders. This significantly reduces the number of iterations and ...speeds up the design-to-discovery cycle but also reduces the need for costly and labor-intensive laboratory work.

As AI systems improve, it is becoming harder and harder to develop tests that highlight a difference between human and AI capabilities...“You’ll know AGI is here when the exercise of creating tasks that are easy for regular humans but hard for AI becomes simply impossible.”

The learning improvements were striking—about 0.3 standard deviations. To put this into perspective, this is equivalent to nearly two years of typical learning in just six weeks.

While ChatGPT learned the grammar of language, GET has learned underlying rules governing genes: how they are turned on or off like a light switch, or dialed up or down like a volume control. This complex process, known as gene expression, determines which proteins we make and whether we make them in the correct amounts

The device reads.. brain waves and answered … question without any prompting or switching.

Insilico nominated ISM5411 as a preclinical candidate for IBD, after taking only 12 months to synthesize and screen approximately 115 molecules, supported by its integrated generative chemistry engine.

The results showed that the AI models outperformed both expert and non-expert examiners at identifying ovarian cancer, achieving an accuracy rate of 86.3%, compared to 82.6% and 77.7% for the expert and non-expert examiners respectively.

The research team has developed robots capable of performing complex surgical tasks autonomously, including manipulating needles, tying knots, and suturing wounds...from videos and correct their mistakes without human intervention.