have engineered proteins that can reliably and accurately transition between assembly and disassembly through allosteric control. Leveraging AI to design new proteins not found in nature, the authors engineered a wide variety of dynamic protein arrangements to provide a roadmap for applications in triggerable delivery systems, biosensing, cellular feedback control circuitry, and more.

to introduce The AI Scientist, the first comprehensive system for fully automatic scientific discovery, enabling Foundation Models such as Large Language Models (LLMs) to perform research independently…The AI Scientist automates the entire research lifecycle, from generating novel research ideas, writing any necessary code, and executing experiments, to summarizing experimental results, visualizing them, and presenting its findings in a full scientific manuscript.

ECG-FM is a foundation model for electrocardiogram (ECG) analysis. Committed to open-source practices, ECG-FM was developed in collaboration with the fairseq_signals framework, which implements a collection of deep learning methods for ECG analysis.

Scholars have struggled to identify fragments of the epic of Gilgamesh — one of the world’s oldest literary texts. Now A.I. has brought an “extreme acceleration” to the field.

There’s mounting evidence that GLP-1 drugs have health benefits beyond diabetes and weight loss, for conditions ranging from addiction to Parkinson’s—and scientists are evolving theories of why.

Loneliness is a pervasive issue affecting people of all ages…The problem is exacerbated by age-related factors such as the loss of loved ones, decreased mobility, and health challenges.

combines the dexterity of the human form with advanced AI to perform a wide range of tasks across commercial applications and, in the near future, the home.

presents an innovative approach to environment perception that could transform how autonomous robots, including humanoid robots like Optimus, understand and navigate their surroundings. This technology is particularly relevant to Tesla’s recent developments in robotics and autonomous systems.

This article delves into the realm of multi-disease prediction…The objective is to achieve unparalleled accuracy and stability in predicting various disorders…Achieving a 95% accuracy and 94% F1-score in predicting various disorders, the model surpasses traditional methods, signifying a significant advancement in disease prediction accuracy…The optimized diagnosis and treatment pathways facilitated by this approach hold promise for more accurate and personalized healthcare, potentially revolutionizing patient outcomes

…successfully recreated the implementation code of the 90K codebase using a fine-tuned AI model. The generated code reaches 91% to 92% similarity when compared with the reference implementation…CodeMaker AI system was able to process 3,251 files and generate 90,063 lines of code autonomously in 1 hour and 42 minutes at a cost of $265.73.