AI & ML Research 3 Days

Last updated: July 23, 2026, 11:30 PM ET

AI in Scientific Discovery and Healthcare

Google Deep Mind commits $40M in AI tokens and credits for the Genesis Mission. OpenAI outlines its commitment to advancing American science to accelerate discovery. Scientists are using AI to design the next generation of medicines, a process that can take many years and significant investment with a high failure rate. In a landmark achievement, supercooled kidneys have been transplanted into pigs as an organ donation advancement. Health in Chat GPT now lets eligible U.S. users securely connect medical records and Apple Health. Google AI is developing Symptom AI, a conversational AI agent designed for everyday symptom assessment as a general science tool.

LLM Applications and Engineering

OpenAI is launching the Chat GPT for Small Businesses program. NTT DATA Group has used Chat GPT Enterprise and Codex to help 9,000 employees automate work, cutting incident analysis to 30 minutes and scaling secure AI adoption. OpenAI Presence is introduced as a proven enterprise AI agent platform to deploy trusted voice and chat agents for customer and internal workflows for organizations. News organizations are leveraging AI to strengthen reporting, grow audiences, and improve business operations with OpenAI tools. OpenAI and Hugging Face partnered to address a security incident during AI model evaluation, sharing early findings.

RAG and LLM Runtime Development

Most RAG hallucinations are identified as extraction errors rather than true hallucinations, with seven patterns proposed for a typed generation contract. Prompt engineering alone is insufficient, as four bricks of context engineering are demonstrated to stop RAG hallucinations effectively on real documents. Loop engineering for RAG generation involves iterating top-k one at a time, with a sufficiency signal to pick between retrieval regimes for generation. Building an LLM inference runtime from scratch, including packing weights and capturing CUDA graphs, is detailed for an H100 as a technical journey.

ML Experimentation and System Design

Lessons learned after 8.5 years of ML emphasize patience, optimism, discipline, projects, and teams in ML development. A hands-on guide is provided for tracking ML experiments, logging models, and reproducing results with ML Flow. The challenges of fine-tuning a robot AI model on Colab are explored, with a reproducible 100-step LoRA fine-tuning run for Open VLA detailed on Colab. Adding more AI agents to a system unexpectedly made it slower, revealing that tiny CPU tasks in asynchronous systems became the biggest bottleneck while scaling hundreds of LLM agents in system design.

AI Infrastructure and Security

OpenAI announces Project Camellia in Effingham County, Georgia, with commitments to responsible energy, community investment, jobs, and access to Codex for AI infrastructure. Static analysis for detecting vulnerabilities in agent skills is discussed, highlighting the gap between malicious skill detection and useful skill over-flagging, where human judgment is crucial for security. Building an LLM agent that can write and run code is demonstrated through a hands-on walkthrough of code execution with the OpenAI Agents SDK and Docker.

GPU Acceleration and Data Science Workflows

The potential for GPU acceleration in data science workflows is explored, focusing on accelerating data preparation using cu DF, cudf.pandas, and the Polars GPU Engine in data preparation. The story of an overbooked flight illustrates how data science decisions can lead to negative outcomes, contrasting an $8 million loss with a $5,000 payout and the potential for going viral.

Broader AI Trends and Geopolitics

MIT Technology Review covers energy transmission and U.S. threats against Chinese AI. The power line that could reshape New York’s grid is encountering snags, with one instance showing the state's grid importing 52 gigawatt-hours of electricity from Canada during a heat wave for grid infrastructure. Advancements in AI are being driven by materials science innovation, moving beyond algorithms and computing power for next-gen AI. MIT Technology Review also touches on shape-shifting mirrors on NASA’s new space telescope that could unveil Jupiters like our own for astronomical discovery. Chinese AI models are reportedly causing division within the White House's AI community, alongside news of a record copyright payout.