Kimi K3.1 Pro is an open-weight, natively multimodal agentic model, and our most capable 3T-class model to date. Post-trained from Kimi K3 with large-scale joint reinforcement learning across hundreds of downstream domains, it is the first model in the K3.1 series. With a…
OpenAI is launching GPT-6 Cyber, the latest version of its cybersecurity AI model, which it says is better at finding vulnerabilities and less likely to go rogue and hack other platforms in the process. OpenAI says that during testing, GPT-6 Cyber went out of bounds less than 1…
Sierra announced on November 5, 2026 that it has acquired Anon, adding the startup's team and browser-agent technology to help its AI agents sign in to websites, navigate portals and complete work in services without
SemiAnalysis is putting AI agents through simulated knowledge work in its new GDPx benchmark, covering everything from chip design to quant trading. No model breaks 12 percent. Claude Opus 5.5 leads narrowly over Gemini 4 Carbon. Critics point to the small number of tasks per domain and uneven testing conditions.
The company, which trades on Nasdaq under the ticker AIP, announced the achievement alongside a report examining its historical customer design activity.
Tencent has unveiled Hy4, its first multimodal language model that understands images and can operate software on its own. On the Artificial Analysis Intelligence Index, it scores 35 points, solid but behind Kimi K3.1 Pro. On hard math and complex image analysis, Hy4 still trails the best commercial models by a wide margin, according to Tencent itself.
The UK Government has backed British startup Potential Sciences in an eight-figure funding round, supporting its efforts to use AI to transform chemistry
S&P 500 tumbles 3% as AI chip stocks drag Wall Street toward its worst day since Trump's tariff announcements in 2025. THIS IS AN APNewsAlert. Check back for updates. AP's earlier story is below. More drops for AI chip stocks are dragging the U.
Image registration and fusion aim to establish spatial correspondences from misaligned multi-modal source images, and integrate complementary information. However, in real-world imaging scenarios, source images are often affected by complex and diverse degradations, such as low…
Background & Problem: Thyroid Fine-Needle Aspiration Biopsy (FNAB) cytology based on the Bethesda System plays a pivotal role in early thyroid cancer detection; however, deep learning approaches face substantial challenges regarding high false-negative rates and overconfidence…
Pathology foundation models (PFMs) have transformed computational pathology through powerful representation learning from histopathological images. PFMs provide rich, discriminative representations for whole slide image (WSI) analysis, enabling tasks such as slide-level…