Explainable AI is making black box models worthless in the agentic era

Transparency and explainability are only way organizations can trust autonomous AI.

Nvidia Will Spend $26 Billion to Build Open-Weight AI Models, Filings Show

The move could position the AI infrastructure powerhouse to quickly compete with OpenAI, Anthropic, and DeepSeek.

Multiverse Computing pushes its compressed AI models into the mainstream

After compressing models from major AI labs including OpenAI, Meta, DeepSeek and Mistral AI, Multiverse Computing has ...

Qwen 3.5 Small Expands On-Device AI to Phones and IoT with Offline Support

Alibaba released Qwen 3.5 Small models for local AI; sizes span 0.8B to 9B parameters, supporting offline use on edge devices.

Mistral AI launches Forge to help companies build proprietary AI models, challenging cloud giants

Mistral AI launches Forge, an enterprise AI training platform that lets companies build custom models on proprietary data and ...

The rise of vertical AI agents — and the startups racing to build them

For this installment in our Agents of Transformation series, GeekWire examined the rising trend of vertical AI agents — tools built to do one job exceptionally well by combining models with ...

The Defense Department reportedly plans to train AI models on classified military data

The Pentagon is making plans to have AI companies train versions of their models specifically for military use on classified information, according to the MIT Technology Review. If true, it wouldn’t ...

Nvidia shrinks LLM memory 20x without changing model weights

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.

AI Is Making Your Laptop More Helpful—And Way More Complicated. Here’s How.

And while AI was everywhere at the show, from chatbots to robots to home appliances, I found the new AI features in laptops ...