diginomicaOpinion

Why the boundary problem is the biggest challenge in agentic AI

AI rockstar Andrej Karpathy has launched a self-learning agent that shines a light on the boundary problem. Unremarkable at ...

Google’s TurboQuant Compression Could Increase Demand For AI Memory

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Memory Is The New Bottleneck In AI Semiconductors

AI semiconductors have seen explosive growth, fueled by record hyperscaler capital expenditure and a compounding buildout ...
TMCnet

Oracle Expands AI Agent Studio for Fusion Applications with Agentic Applications Builder and New Intelligent Workflow Tools

Oracle today announced the latest updates to Oracle AI Agent Studio for Fusion Applications, a complete development platform for building, connecting, and running AI automation and agentic ...

Oracle Unveils AI Database Agentic Innovations for Business Data

Oracle today announced new agentic AI innovations for Oracle AI Database that will help customers rapidly build, deploy, and scale secure agentic AI applications that are suitable for full-scale ...
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...