iManage Delivers Trusted AI Search with Ask iManage
Ask iManage now answers natural-language questions with cited responses across the document repository iManage, the company dedicated to Making Knowledge Work™, today announced new capabilities for Ask iManage, its native AI assistant, that enables users to ask natural-language questions across the ...
Snowflake and OpenAI partner to bring frontier intelligence to enterprise data
OpenAI and Snowflake partner in a $200M agreement to bring frontier intelligence into enterprise data, enabling AI agents and insights directly in Snowflake.
arXiv:2601.22269v1 Announce Type: new
Abstract: Judge agents are fundamental to agentic AI frameworks: they provide automated evaluation, and enable iterative self-refinement of reasoning processes. We introduce JAF: Judge Agent Forest, a framework in which the judge agent conducts joint inference ...
The Six Sigma Agent: Achieving Enterprise-Grade Reliability in LLM Systems Through Consensus-Driven Decomposed Execution
arXiv:2601.22290v1 Announce Type: new
Abstract: Large Language Models demonstrate remarkable capabilities yet remain fundamentally probabilistic, presenting critical reliability challenges for enterprise deployment. We introduce the Six Sigma Agent, a novel architecture that achieves enterprise-gra...
Sparks of Rationality: Do Reasoning LLMs Align with Human Judgment and Choice?
arXiv:2601.22329v1 Announce Type: new
Abstract: Large Language Models (LLMs) are increasingly positioned as decision engines for hiring, healthcare, and economic judgment, yet real-world human judgment reflects a balance between rational deliberation and emotion-driven bias. If LLMs are to particip...
Learning Provably Correct Distributed Protocols Without Human Knowledge
arXiv:2601.22369v1 Announce Type: new
Abstract: Provably correct distributed protocols, which are a critical component of modern distributed systems, are highly challenging to design and have often required decades of human effort. These protocols allow multiple agents to coordinate to come to a co...
Attention Isn't All You Need for Emotion Recognition:Domain Features Outperform Transformers on the EAV Dataset
arXiv:2601.22161v1 Announce Type: new
Abstract: We present a systematic study of multimodal emotion recognition using the EAV dataset, investigating whether complex attention mechanisms improve performance on small datasets. We implement three model categories: baseline transformers (M1), novel fac...
Multitask Learning for Earth Observation Data Classification with Hybrid Quantum Network
arXiv:2601.22195v1 Announce Type: new
Abstract: Quantum machine learning (QML) has gained increasing attention as a potential solution to address the challenges of computation requirements in the future. Earth observation (EO) has entered the era of Big Data, and the computational demands for effec...
Neural Signals Generate Clinical Notes in the Wild
arXiv:2601.22197v1 Announce Type: new
Abstract: Generating clinical reports that summarize abnormal patterns, diagnostic findings, and clinical interpretations from long-term EEG recordings remains labor-intensive. We curate a large-scale clinical EEG dataset with $9{,}922$ reports paired with appr...
FedAdaVR: Adaptive Variance Reduction for Robust Federated Learning under Limited Client Participation
arXiv:2601.22204v1 Announce Type: new
Abstract: Federated learning (FL) encounters substantial challenges due to heterogeneity, leading to gradient noise, client drift, and partial client participation errors, the last of which is the most pervasive but remains insufficiently addressed in current l...
A Coding and Experimental Analysis of Decentralized Federated Learning with Gossip Protocols and Differential Privacy
In this tutorial, we explore how federated learning behaves when the traditional centralized aggregation server is removed and replaced with a fully decentralized, peer-to-peer gossip mechanism. We implement both centralized FedAvg and decentralized Gossip Federated Learning from scratch and introdu...
Introducing the Codex app for macOS—a command center for AI coding and software development with multiple agents, parallel workflows, and long-running tasks.
RobCo Raises $100 Mn to Scale Its Autonomous Industrial Robotics Platform
Lightspeed and Lingotto, an investment management company owned by Exor, lead new investment round as RobCo expands physical AI-driven robotics RobCo, a physical AI-driven robotics company raised $100 million to advance RobCo’s Physical AI roadmap, expand enterprise deployments and deepen the compan...
#490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI
Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators. Nathan is the post-training lead at the Allen Institute for AI (Ai2) and the author of The RLHF Book. Sebastian Raschka is the author of Build a Large Language Model (From Scratch) and Build a Reasoning ...
In late 2025, an open-source project called Clawdbot was released. Built by Peter Steinberger, it was designed to be a practical personal AI assistant: not a chatbot, but a system that could actually do things. As it evolved, Clawdbot was renamed twice. First to Moltbot, and then to OpenClaw. You ca...
End-to-End Machine Learning Project on Amazon Sales Data Using Python
Machine learning projects work best when they connect theory to real business outcomes. In e-commerce, that means better revenue, smoother operations, and happier customers, all driven by data. By working with realistic datasets, practitioners learn how models turn patterns into decisions that actua...
Robbyant Open Sources LingBot World: a Real Time World Model for Interactive Simulation and Embodied AI
Robbyant, the embodied AI unit inside Ant Group, has open sourced LingBot-World, a large scale world model that turns video generation into an interactive simulator for embodied agents, autonomous driving and games. The system is designed to render controllable environments with high visual fidelity...
Physical Intelligence, Stripe veteran Lachy Groom’s latest bet, is building Silicon Valley’s buzziest robot brains
If co-founder Lachy Groom has any doubts, he doesn’t show it. He’s working with people who've been working on this problem for decades and who believe the timing is finally right, which is all he needs to know.
OpenClaw’s AI assistants are now building their own social network
The viral personal AI assistant formerly known as Clawdbot has a new shell — again. After briefly rebranding as Moltbot, it has now picked OpenClaw as its new name.
AI2 Releases SERA, Soft Verified Coding Agents Built with Supervised Training Only for Practical Repository Level Automation Workflows
Allen Institute for AI (AI2) Researchers introduce SERA, Soft Verified Efficient Repository Agents, as a coding agent family that aims to match much larger closed systems using only supervised training and synthetic trajectories. What is SERA? SERA is the first release in AI2’s Open Coding Agents se...
A Coding Implementation to Training, Optimizing, Evaluating, and Interpreting Knowledge Graph Embeddings with PyKEEN
In this tutorial, we walk through an end-to-end, advanced workflow for knowledge graph embeddings using PyKEEN, actively exploring how modern embedding models are trained, evaluated, optimized, and interpreted in practice. We start by understanding the structure of a real knowledge graph dataset, th...