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Research

Microsoft Research ML pipeline forecasts space-weather GIC risk for 66,935 US substations

Microsoft Research describes an end-to-end machine learning pipeline that forecasts geomagnetically induced current (GIC) risk at 66,935 continental U.S. substations using L1 solar-wind observations. It forecasts AE and Dst indices, then uses a gradient-boosting model with latitude, geology, and conductivity data to estimate dB/dt and derive location-specific risk 30-60 minutes ahead. During 2020-2026 evaluation, it detected 76.5% of major events (≥10 nT/min) and 81.2% of severe events (≥20 nT/m

Microsoft ResearchOct 1, 2026Score 79
Microsoft Researchspace weather forecastingpower grid resilience
Research Editor selected

Microsoft Research Introduces Quine, an AI World Model for Biology

Microsoft Research announced Quine, an experimental AI research system combining a multimodal world model of biology with a harness that connects models, scientific tools, literature, and researchers. With the Broad Institute of Harvard and MIT, Quine was used to prioritize compounds predicted to drive therapeutic tumor-state shifts in pancreatic ductal adenocarcinoma, and several top-ranked candidates were validated in wet-lab assays. Microsoft also opened applications for the Quine Fellows pro

Why it matters: It offers a concrete look at a major lab's AI system for biological discovery, including an early wet-lab-validated cancer application and a new access program for researchers.

Microsoft ResearchSep 29, 2026Score 83
Microsoft ResearchQuineAI for biology
Products

GitHub Security Lab's Fuzzing Taskflow Automates Fuzzing with LLM Agents

GitHub Security Lab released the Fuzzing Taskflow, an open-source autonomous fuzzing pipeline for C/C++ projects built on the Security Lab Taskflow Agent framework. It accepts a repository, then uses an LLM agent to identify entrypoints, analyze builds, write harnesses, run AFL++, read coverage reports, improve harnesses, triage crashes, and write vulnerability reports without a human in the loop. The pipeline features a coverage-feedback loop with plateau detection, structure-aware input genera

GitHub AI & MLSep 25, 2026Score 78
AI-powered fuzzingsoftware security automationGitHub Security Lab
Products

GitHub Copilot app rearchitects pull request rendering for million-line diffs

GitHub detailed engineering work on rendering extremely large pull requests in its Copilot app, using a 2,200-file, million-line open source PR with 400+ inline comments as a test case. The team split diff height into a deterministic code geometry and a separate dynamic block geometry for comments, then added a batched measurement scheduler with anchored scroll corrections. The backend streams diff structure before content and defers work like syntax highlighting. The result is a PR view where h

GitHub AI & MLSep 24, 2026Score 70
GitHub Copilotpull request reviewUI virtualization
Research Editor selected

Microsoft Research Demonstrates Offloaded Inference for Physical AI Robotics

Microsoft Research argues that running physical AI inference exclusively on onboard GPUs limits task performance and battery life, and presents a systematic study of mobile manipulation workloads showing offloading improves success rates and lets robots run larger models. The work reports that some smaller GPUs could not accommodate the stack, and that lighter GPUs slowed mapping and planning by up to 383% and reduced obstacle-detection timeliness by 30% versus an A100. Offloading with a Raspber

Why it matters: It offers concrete benchmark-backed evidence and an open-source toolchain for a robotics infrastructure decision that affects model size, task reliability, and battery life.

Microsoft ResearchSep 24, 2026Score 84
Microsoft ResearchPhysical AIinference infrastructure
Research Editor selected

Microsoft Research Open-Sources RetroChimera, an Ensemble Model for Retrosynthesis Prediction

Microsoft Research describes RetroChimera, a retrosynthesis framework published in Nature that ensembles a Transformer-based de-novo model (R-SMILES 2) with a graph neural network that selects reaction templates (NeuralLoc). A learned re-ranking strategy combines their complementary strengths, improving recall of rare reactions and alignment with expert chemists' preferences. In expert assessments, RetroChimera was accepted on nine of ten challenging targets versus fewer for baselines, and in bl

Why it matters: It gives chemists and AI researchers an openly available ensemble retrosynthesis model with published validation, potentially accelerating molecule synthesis planning.

Microsoft ResearchSep 21, 2026Score 83
Microsoft Researchretrosynthesissmall molecule synthesis
Research Editor selected

Microsoft Research Releases GigaPath-Flash and GigaTIME-Flash, Efficient Open Pathology Foundation Models

Microsoft Research, with the University of Washington and Providence, introduced GigaPath-Flash and GigaTIME-Flash, efficient extensions of their GigaPath and GigaTIME pathology foundation models. GigaPath-Flash uses a 22M-parameter ViT-S tile encoder distilled from the billion-parameter GigaPath teacher plus a 21M-parameter LongNet slide encoder, retaining performance within 3% of GigaPath at roughly 50 times less compute. GigaTIME-Flash replaces GigaTIME's CNN backbone with that encoder and a

Why it matters: It gives researchers a concrete, openly licensed efficiency upgrade that makes large-scale computational pathology experiments more practical.

Microsoft ResearchSep 1, 2026Score 83
Microsoft Researchcomputational pathologyGigaPath
Research Editor selected

Microsoft Research Releases Skala-1.1 DFT Model and Expands Integrations

Microsoft Research announced Skala-1.1, an updated deep-learning exchange-correlation functional trained on 2.5x more data than its predecessor, reporting a weighted average error of 2.8 kcal/mol on the GMTKN55 benchmark. Skala is now available in CP2K and is being integrated into Psi4, FHI-aims, ORCA and VASP. Microsoft Research also introduced a living benchmark to track the performance of successive Skala releases across software packages and hardware.

Why it matters: It reports a concrete accuracy improvement and expanded availability for an AI-driven DFT functional used in computational chemistry and materials science.

Microsoft ResearchAug 21, 2026Score 81
Skaladensity functional theorycomputational chemistry
Research Editor selected

K-Search Extends CUDA Kernel Expertise to Apple Silicon via MLX Backend

Researchers at IBM Research, building on Berkeley Sky Lab's K-Search evolutionary kernel-search framework, added a native MLX backend and a structured CUDA-to-MLX translation layer to bring CUDA kernel expertise to Apple Silicon. The evolved attention kernel reached 0.97x the speed of Apple's native MLX attention kernel, and the Mamba SSM kernel delivered up to a 20x prefill speedup over the community mlx-lm implementation on an M1 Max. The team attributes the gains to the translation layer's co

Why it matters: It offers a reproducible, open-source method and concrete benchmark numbers for transferring CUDA kernel knowledge to Apple Silicon, valuable to ML systems and kernel engineers.

Berkeley AI ResearchJul 29, 2026Score 85
K-SearchMLXApple Silicon kernels
Opinion

Berkeley Researchers Map Data Systems for, of, and by AI Agents

A Berkeley AI Research perspective argues that rapidly falling inference costs will make agents the dominant workload for data systems. It outlines three research agendas: redesigning data systems for agentic speculation (high-volume, redundant query streams), building a substrate to run and coordinate agent swarms with structured memory and shared-state consistency, and letting agents synthesize workload-specific data systems while ensuring verification and guarding against reward hacking. The

Berkeley AI ResearchJul 7, 2026Score 70
agentic AIdata systemsmulti-agent coordination
Industry Editor selected

From Toolbox to Operator: How AI is Driving Closed-Loop Breakthroughs in Cross-Border E-Commerce

By the summer of 2026, the hype surrounding Artificial Intelligence (AI) in the cross-border e-commerce sector has entered a nuanced period of consolidation.Two years ago, when large language models (LLMs) first emerged, sellers were thrilled with si<!--autointro-->

AITopic existing contentJun 8, 2026Score 80
cross-border e-commerce AIAI e-commerce automationStoreClaw
Industry Editor selected

Ant Group Launches Overseas AI Payment Solution Enabling Global Agentic Commerce for Merchants

&quot;The essence of business remains unchanged in the AI era, but agents are reshaping user interaction, service processes, and transactions,&quot; said Han Xinyi, CEO of Ant Group, at the Alipay AI Payment Ecosystem Conference on May 26. At the con<!--autointro-->

AITopic existing contentJun 8, 2026Score 80
Ant GroupAI payment solutionoverseas merchants
Industry Editor selected

Free Token Era? Agnes AI Founder on the Business of Free Multimodal Models

Is the &quot;Free&quot; Token Era Here? A Conversation with the Founder of Agnes AI on the Business and Ambition Behind Free Multimodal AIAnyone who has been genuinely using AI over the past year will share the same feeling: AI is getting more expens<!--autointro-->

AITopic existing contentJun 8, 2026Score 80
AI image generationtext-to-videomultimodal AI
Industry Editor selected

SpaceX, OpenAI, Anthropic IPOs: The “Apollo Moment” of the AI Era Has Arrived

01 This Is Not an IPO — This Is an “Operating System Upgrade” for Human CivilizationIn the summer of 2026, the U.S. capital markets will witness an unprecedented “triple convergence” — SpaceX, OpenAI, and Anthropic, three AI giants, will knock on Nas<!--autointro-->

AITopic existing contentJun 8, 2026Score 80
OpenAI IPOAnthropic IPOAI infrastructure