Google’s Eight Essential Multi-Agent Design Patterns
Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential pipelines to…
Swiss AI tech reduces data center needs for powerful AI
What’s not to love about giant AI data centers? I mean, of course, other than electronic waste, massive…
Anthropic signs $200M deal to bring its LLMs to Snowflake’s customers
Image Credits:Anthropic AI research lab Anthropic’s not slowing down in its efforts to snap up enterprise clients. The…
Bank of England prioritises AI, DLT and quantum computing ‘for further action’
Bank of England: considers the three ‘cross-cutting’ technologies as having ‘the most potential for transformative outcomes’ | Credit:…
Claude Sonnet 4.5 Tops SWE-Bench Verified, Extends Coding Focus Beyond 30 Hours
Anthropic has released Claude Sonnet 4.5, its most advanced coding model to date, featuring major improvements in agentic…
Significantly Reduced Computing Power Cost and Linear Inference Cost of LLM
Using reinforcement learning to endow large language models (LLMs) with reasoning abilities is indeed effective, but it comes…
How South Korea plans to best OpenAI, Google, others with homegrown AI
From tech giants to startups, South Korean players are developing large language models tailored to their own language…
What makes China confident enough to ban microchips made by US firm Nvidia?
Beijing’s decision this week to ban Chinese companies from using microchips made by US firm Nvidia indicates the…
AI Data Center Trust: Operators Remain Skeptical
AI is starting to be trusted with high-stakes tasks, including running automated factories and guiding military drones through…
Biochips Mimic the Brain to Cut AI Energy Use
As generative AI systems advance, so too does their appetite for energy. Training and running large language models…