Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

The world's first Tibetan large language model and its application, DeepZang, has been officially unveiled in Lhasa, ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Dozens of Telegram channels reviewed by WIRED include job listings for “AI face models.” The (mostly) women who land these ...

A Stanford engineer has demonstrated that frontier language models can run directly on everyday edge devices using convex ...

Touting its status as the “world’s largest contributor to open-source AI,” Nvidia Corp. is doubling down on open artificial ...

HONG KONG and SHANGHAI, March 15, 2026 /PRNewswire/ -- Ping An Insurance (Group) Company of China, Ltd. ("Ping An" or "the Group"; HKEX: 2318/82318; SSE: 601318) announced that PingAnGPT-Qwen3-32B, ...

OpenAI Group PBC and Mistral AI SAS today introduced new artificial intelligence models optimized for cost-sensitive use cases. OpenAI is rolling out two algorithms called GPT-5.4 mini and GPT 5.4 ...

Meta’s recently acquired AI startup Manus has launched a desktop app for Mac and Windows. It features an agentic tool called ...

SINGAPORE, SINGAPORE, SINGAPORE, March 20, 2026 /EINPresswire.com/ -- As we navigate the sophisticated landscape of ...

Cognitive warfare technologies now model and simulate human behavior at scale, raising concerns about autonomous digital ...