...study has highlighted how LLMs possess a remarkable capacity to assist mathematicians in various ways...allowing for a broader range of individuals to engage with mathematical research and education. ...currently, LLMs are not on a trajectory to replace mathematicians.
6 December 2023 - ... AlphaCode 2 — coding in languages spanning Python, Java, C++ and Go — performed better than an estimated 85% of competitors ...compared to the roughly 50% of ...its predecessor managed to best
December 2023 - A pancreatic cancer risk prediction model (Prism) developed and validated on large-scale US clinical data
30 November 2023 - JPMorgan set a target last year of $1 billion in “business value” generated by AI in 2023, and the firm increased that goal to $1.5 billion at its investor day in May.
30 November 2023 - ... Some early efforts focus on diagnostics, like an algorithm that analyzes heart tests to spot a deadly type of high blood pressure much sooner than humans can, and voice-recognition technology to analyze speech for early signs of Alzheimer’s disease. There’s a virtual-reality goggle set to help train surgeons on procedures like knee replacements.
deep-learning models...have showcased emergent predictive capabilities... show that graph networks ...can reach unprecedented levels of generalization, improving the efficiency of materials discovery by an order of magnitude. ...improved efficiency enables the discovery of 2.2 million structures below the current convex hull, many of which escaped previous human chemical intuition. Our work represents an order-of-magnitude expansion in stable materials known to humanity.
...A-Lab, devises recipes for materials, including some that might find uses in batteries or solar cells. Then, it carries out the synthesis and analyses the products — all without human intervention. Meanwhile, another AI system has predicted the existence of hundreds of thousands of stable materials...
...plans to accelerate and optimize its machine learning (ML) algorithms and models through NVIDIA DGX™ Cloud, designed to facilitate generative AI applications in drug discovery
AI can help address our environmental challenges, to shed light on climate-relevant AI risks, and to offer policymakers a streamlined framework for desirable policy outcomes... By scaling currently proven applications and technology, artificial intelligence (AI) has the potential to unlock insights that could help mitigate 5% to 10% of global greenhouse gas (GHG) emissions by 2030—and significantly bolster climate-related adaptation and resilience initiatives.
A deep learning approach to generate a Histomic Prognostic Signature (HiPS) risk score that was better than evaluations performed by expert pathologists at predicting the future course of an individual’s disease.
...for healthcare solutions in Affordable Care Act (ACA), Medicare, and Medicaid to improve member experience, increase enrolment, and help support claims adjudication.
