NVIDIA Partners With Industry Leaders to Advance Genomics, Drug Discovery and Healthcare | NVIDIA Newsroom
https://nvidianews.nvidia.com/news/nvidia-partners-with-industry-leaders-to-advance-genomics-drug-discovery-and-healthcare
“Our article on using LLMs to improve health equity is out in @NEJM_AI! 85% of equity-related LLM papers focus on *harms*. But equally vital are the equity-related *opportunities* LLMs create: detecting bias, extracting structured data, and improving access to health info.”
https://x.com/2plus2make5/status/1878859401815273602
Can AI do maths yet? Thoughts from a mathematician. | Xena
Machine Learning :: Jane Street
https://www.janestreet.com/machine-learning/
“first: mammoths. second: domesticated bears.”
https://x.com/nearcyan/status/1879619344772329897
Mayo Clinic accelerates personalized medicine through foundation models with Microsoft Research and Cerebras Systems – Mayo Clinic News Network
https://newsnetwork.mayoclinic.org/discussion/mayo-clinic-accelerates-personalized-medicine-through-foundation-models-with-microsoft-research-and-cerebras-systems/
Bioptimus raises $41M to develop a ‘GPT for biology’ | TechCrunch
“New research shows LLMs can exhibit deceptive behaviors when given conflicting instructions or misaligned incentives. Tests showed rare but concerning actions, such as falsifying data, evading oversight, and self-preservation. Learn more in The Batch:
https://x.com/DeepLearningAI/status/1877792522732212268
“🚀 Exciting Advances in Process Reward Models (PRMs)! 🚀 Our latest research tackles the challenges of data annotation and evaluation in PRMs for better mathematical reasoning in LLMs. We show that MC estimation-based methods often fall short compared to LLM-as-a-judge and human
https://x.com/Alibaba_Qwen/status/1879966399499759661
Getting an all-optical AI to handle non-linear math – Ars Technica
https://arstechnica.com/science/2025/01/getting-an-all-optical-ai-to-handle-non-linear-math/
“2/ – self-generating high-quality math training data (for a policy SLM) using MCTS and code verification – a process preference model, based on predicted reward for each intermediate reasoning step – iteratively improving both w/multiple rounds of MCTS and retraining on validated” / X
https://x.com/saranormous/status/1877608687344431586
“This survey comprehensively maps how LLMs transform scientific research across hypothesis generation, experimentation, writing, and peer review stages. 🔬 Methods explored in this Paper: → The paper analyzes LLMs’ roles across four critical research stages: hypothesis
https://x.com/rohanpaul_ai/status/1879812364176130445
“🚀 Stanford’s MUSK, an AI model, pushes Cancer Prognosis Accuracy Predicts which cancer patients thrive on treatments using massive medical data insight → For all cancer types, MUSK accurately predicted the disease-specific survival of a patient 75% of the time. In contrast,
https://x.com/rohanpaul_ai/status/1878797871786692826
Apheris rethinks the AI data bottleneck in life science with federated computing | TechCrunch
Apheris rethinks the AI data bottleneck in life science with federated computing
