Sciences

A March 28 essay on the Hamilton-Jacobi-Bellman equation drew Hacker News attention by showing how continuous-time control theory connects reinforcement learning, optimal control, and diffusion models.

Meta said on March 26, 2026 that TRIBE v2 can predict high-resolution fMRI brain activity with zero-shot generalization across new subjects, languages, and tasks. The company is also releasing the model, code, paper, and demo for researchers.

Hacker News surfaced a CERN story about pushing ultra-compact AI into the LHC trigger path, where collision data must be filtered at 40 MHz and within roughly 50 ns latency. The notable point is not generative AI, but highly specialized anomaly detection running in CMS Global Trigger test-crate FPGAs.

NVIDIA AI Dev highlighted on March 27, 2026 that Edison's PaperQA3 can reason over more than 150 million research papers and patents and posted strong LABBench2 results. Edison's article says the multimodal system can now read figures and tables, compare hundreds of visual elements before answering, and rank among the strongest deep-research agents on relevant LABBench2 subsets.

Anthropic said on March 23, 2026 that not every long-horizon task benefits from splitting work across many agents, and pointed to a sequential setup for modeling the early universe. In the linked research post, Anthropic describes using Claude Opus 4.6 with persistent memory, orchestration patterns, and test oracles to implement a differentiable cosmological Boltzmann solver.

Google Research introduced S2Vec on March 24, 2026 as a self-supervised way to turn built-environment data into general-purpose embeddings. The framework aims to predict socioeconomic and environmental patterns from how cities are physically organized.

Google Research said on March 16, 2026 that its superconductivity case study found curated-source systems outperforming open-web LLMs. NotebookLM and a custom RAG setup scored highest on expert-written questions about high-temperature superconductors.

r/singularity amplified Google's decision to add neutral-atom research alongside superconducting quantum hardware, framing it as a hedge between qubit count, circuit depth, and commercialization timelines.

Anthropic said on March 23, 2026 that it is launching a Science Blog focused on how AI is changing research practice and scientific discovery. The new blog will publish feature stories, workflow guides, and field notes, while also highlighting Anthropic's broader AI-for-science programs.

Microsoft has introduced Copilot Health as a separate, secure space inside Copilot for combining health records, wearable data, and health history. The company is starting with a waitlist and says the service will launch first in English for U.S. adults 18 and older.

The subreddit focused on the unusually candid part of Anthropic's physics case study: Claude moved work faster, but still needed expert supervision to catch fabricated checks, wrong formulas, and weak judgment.

Google DeepMind said on X on March 12, 2026 that a new podcast for AlphaGo’s tenth anniversary explores how methods first sharpened in games now feed into scientific discovery. The post lines up with DeepMind’s March 10 essay arguing that AlphaGo’s search, planning, and reinforcement ideas now influence work in biology, mathematics, weather, and algorithms.