Staff – Page 79 – The TechBriefs

Microsoft Research Releases Skala: a Deep-Learning Exchange–Correlation Functional Targeting Hybrid-Level Accuracy at Semi-Local Cost

TL;DR: Skala is a deep-learning exchange–correlation functional for Kohn–Sham Density Functional Theory (DFT) that targets hybrid-level accuracy at semi-local cost, […]

Tiny Recursive Model (TRM): A Tiny 7M Model that Surpass DeepSeek-R1, Gemini 2.5 pro, and o3-mini at Reasoning on both ARG-AGI 1 and ARC-AGI 2

Can an iterative draft–revise solver that repeatedly updates a latent scratchpad outperform far larger autoregressive LLMs on ARC-AGI? Samsung SAIT […]

RA3: Mid-Training with Temporal Action Abstractions for Faster Reinforcement Learning (RL) Post-Training in Code LLMs

TL;DR: A new research from Apple, formalizes what “mid-training” should do before reinforcement learning RL post-training and introduces RA3 (Reasoning […]

Stanford Researchers Released AgentFlow: In-the-Flow Reinforcement Learning RL for Modular, Tool-Using AI Agents

TL;DR: AgentFlow is a trainable agent framework with four modules—Planner, Executor, Verifier, Generator—coordinated by an explicit memory and toolset. The […]

Anthropic AI Releases Petri: An Open-Source Framework for Automated Auditing by Using AI Agents to Test the Behaviors of Target Models on Diverse Scenarios

How do you audit frontier LLMs for misaligned behavior in realistic multi-turn, tool-use settings—at scale and beyond coarse aggregate scores? […]

A Coding Guide to Implement Zarr for Large-Scale Data: Chunking, Compression, Indexing, and Visualization Techniques

In this tutorial, we take a deep dive into the capabilities of Zarr, a library designed for efficient storage & […]

Google AI Ships TimesFM-2.5: Smaller, Longer-Context Foundation Model That Now Leads GIFT-Eval (Zero-Shot Forecasting)

Google Research has released TimesFM-2.5, a 200M-parameter, decoder-only time-series foundation model with a 16K context length and native probabilistic forecasting […]