Coforge Expands CodeInsightAI with Agentic AI Capabilities
Coforge Limited (NSE: COFORGE), a global digital services and solutions provider, today announced expanded new capabilities for Coforge CodeInsightAI, its agentic AI-powered code intelligence and modernization platform. Coforge CodeInsightAI is part of Forge-X, Coforge’s integrated platform for all ...
12Port to Showcase AI-Powered Session Intelligence for PAM at RSAC 2026
The 12Port Agentless PAM Platform helps enterprises operationalize Zero Trust with smarter access, intelligent insight, and faster response. 12Port, a provider of modern Privileged Access Management (PAM), today announced it will showcase its agentless PAM platform with AI-powered session intelligen...
GitGuardian Raises $50M Series C to Address NHI Crisis, AI Agent Security Gap
Insight Partners leads round, alongside Quadrille Capital, to accelerate expansion across Americas, EMEA, and strategic verticals GitGuardian, a leading secrets and Non-Human Identity (NHI) security platform and #1 app on GitHub Marketplace, today announced a $50 million Series C funding round led b...
Experian Announces Integration with Snowflake’s AI Data Cloud
Aperture Data Studio, running on Snowflake, will help customers build a trusted data foundation where their data lives Global data and technology company Experian today announces the launch of its Aperture Data Studio integration with Snowflake, the AI Data Cloud company. The integration enables org...
Medidata Marks Decade of AI Leadership Across 500+ Studies and Growing
Powered by Medidata’s AI technologies, complex clinical data is transformed, delivering significantly faster study build and shorter trial timelines Medidata, a Dassault Systèmes brand and leading provider of clinical trial solutions to the life sciences industry, continues to accelerate clinical tr...
Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
arXiv:2602.10119v1 Announce Type: new
Abstract: Accurate prediction of functional outcomes after acute ischemic stroke can inform clinical decision-making and resource allocation. Prior work on modified Rankin Scale (mRS) prediction has relied primarily on structured variables (e.g., age, NIHSS) an...
arXiv:2602.10177v1 Announce Type: new
Abstract: Recent advances in foundational models have yielded reasoning systems capable of achieving a gold-medal standard at the International Mathematical Olympiad. The transition from competition-level problem-solving to professional research, however, requi...
Signature-Kernel Based Evaluation Metrics for Robust Probabilistic and Tail-Event Forecasting
arXiv:2602.10182v1 Announce Type: new
Abstract: Probabilistic forecasting is increasingly critical across high-stakes domains, from finance and epidemiology to climate science. However, current evaluation frameworks lack a consensus metric and suffer from two critical flaws: they often assume indep...
Discovering Differences in Strategic Behavior Between Humans and LLMs
arXiv:2602.10324v1 Announce Type: new
Abstract: As Large Language Models (LLMs) are increasingly deployed in social and strategic scenarios, it becomes critical to understand where and why their behavior diverges from that of humans. While behavioral game theory (BGT) provides a framework for analy...
LiveMedBench: A Contamination-Free Medical Benchmark for LLMs with Automated Rubric Evaluation
arXiv:2602.10367v1 Announce Type: new
Abstract: The deployment of Large Language Models (LLMs) in high-stakes clinical settings demands rigorous and reliable evaluation. However, existing medical benchmarks remain static, suffering from two critical limitations: (1) data contamination, where test s...
Found-RL: foundation model-enhanced reinforcement learning for autonomous driving
arXiv:2602.10458v1 Announce Type: new
Abstract: Reinforcement Learning (RL) has emerged as a dominant paradigm for end-to-end autonomous driving (AD). However, RL suffers from sample inefficiency and a lack of semantic interpretability in complex scenarios. Foundation Models, particularly Vision-La...
MERIT Feedback Elicits Better Bargaining in LLM Negotiators
arXiv:2602.10467v1 Announce Type: new
Abstract: Bargaining is often regarded as a logical arena rather than an art or a matter of intuition, yet Large Language Models (LLMs) still struggle to navigate it due to limited strategic depth and difficulty adapting to complex human factors. Current benchm...
Abstraction Generation for Generalized Planning with Pretrained Large Language Models
arXiv:2602.10485v1 Announce Type: new
Abstract: Qualitative Numerical Planning (QNP) serves as an important abstraction model for generalized planning (GP), which aims to compute general plans that solve multiple instances at once. Recent works show that large language models (LLMs) can function as...
#491 – OpenClaw: The Viral AI Agent that Broke the Internet – Peter Steinberger
Peter Steinberger is the creator of OpenClaw, an open-source AI agent framework that’s the fastest-growing project in GitHub history. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep491-sc See below for timestamps, transcript, and to give feedback, submit question...
The Shadow Giants: Navigating the Hidden Supply Chains of the AI and Robotics Revolution
Let’s explore the comprehensive supply chain of the new technological age. This article analyzes the thriving downstream markets in AI compute, data science, and robotics manufacturing, highlighting the critical roles of thermal management, power infrastructure, and ethical auditing in 2026.
Mapping the Design Space of User Experience for Computer Use Agents
Large language model (LLM)-based computer use agents execute user commands by interacting with available UI elements, but little is known about how users want to interact with these agents or what design factors matter for their user experience (UX). We conducted a two-phase study to map the UX desi...
Trace Length is a Simple Uncertainty Signal in Reasoning Models
Uncertainty quantification for LLMs is a key research direction towards addressing hallucination and other issues that limit their reliable deployment. In this work, we show that reasoning trace length is a simple and useful confidence estimator in large reasoning models. Through comprehensive exper...
Glean’s fight to own the AI layer inside every company
Enterprise AI is shifting fast from chatbots that answer questions to systems that actually do the work across an organization. But who will own the AI layer that powers all of it? Glean, which started as an enterprise search product, has evolved into what it calls an “AI work assistant,” aiming to...
Who will own your company’s AI layer? Glean’s CEO explains
Enterprise AI is shifting fast from chatbots that answer questions to systems that actually do the work across an organization. But who will own the AI layer that powers all of it? Glean, which started as an enterprise search product, has evolved into what it calls an “AI work assistant,” aiming to...
AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once they have tools that they can use to interact with the outside world, such as web browsers and email addresses, the consequences of those mistakes become far more serious. That m...