Dallas-based 4Minds announced on November 12, 2026 that it raised $15 million in a Series A at a $500 million post-money valuation to advance its contextual AI platform and reach more enterprises, including highly
Nov 12 (Reuters) - Applied Materials forecast first-quarter revenue above Wall Street expectations on Thursday, betting that strong demand for advanced AI chips will continue to fuel spending on its semiconductor manufacturing equipment.
Booking with an AI agent may seem convenient and potentially cost-saving, but consumer advocates say it's not the best approach for protecting your travel plans.
Critics say that Chinese companies' ability to access computing power remotely via other countries in Southeast Asia presents a major workaround to U.S. chip restrictions.
Security teams faced a mix of mass exploitation attempts, espionage campaigns, and major takedowns this week, from 59 Linux kernel bugs to new backdoors, browser spyware, and AI-assisted phishing. The incidents show how attackers combine stolen access, trusted tools, and automation to stay inside networks longer.
The airline points to a number of risks it says AI agents can pose, including exposing passengers' sensitive information and potentially violating FAA and DOT regulations
Foundation models pretrained on large natural-image collections are increasingly adapted for medical image segmentation, in the expectation that they will replace models trained for each task. Most comparisons, however, use data from the training distribution and a single task-specific baseline whose configuration is rarely justified, and therefore provide limited evidence of performance at new clinical sites. It also remains unclear how much of a foundation model must be adapted, and what determines this. We adapted a foundation model, DINOv2, with strategies ranging from tuning only its bias terms to full fine-tuning, and compared it with U-Nets and ResU-Nets trained from scratch. Experiments covered colonoscopy, breast ultrasound and dermoscopy, with testing on held-out data from the training source and on independent datasets from other institutions. The adapted foundation model generalised better on every external dataset. Within the training distribution, the task-specific models remained competitive when training data were abundant, and delineated boundaries more precisely, while the foundation model more often missed small lesions. Only a small fraction of the foundation…
Open-source, self-hosted Slack alternative where your team and AI agents work together in channels and DMs. Agents run on Claude, ChatGPT/Codex, Gemini or Grok, with MCP tools, their own computer and browser, routines, memory and approvals. Web, desktop and phone apps. Docker…
This Congressional investigation into Nvidia's China sales and its dealings with Trump is the second one, so far, since news of the alleged spy affair broke.
Laya answers typed multiple-choice questions in one forward pass by scoring a hidden state at one [MASK] marker per option. We re-engineer the checkpoint (421M parameters; a 2-layer option head with no positional tensor; a documented but unused parallel layout) and test whether…
LLM-based coding agents such as Claude Code are guided by repository instruction files (also called context files or agent configuration files) like AGENTS.md and CLAUDE.md, which are read in every agent session. As any documentation artifact, these files can fall behind the…
Test-time scaling improves the performance of a fixed model by spending more computation at inference. There are two common ways to spend it on agents when a verifier can score every attempt. Best-of-N sampling runs many independent agents and keeps the best result but…