Definity embeds agents inside Spark pipelines to catch failures before they reach agentic AI systems

Definity raises $12M to embed AI agents inside Spark pipelines, catching failures and bad data before they reach the agentic AI systems that depend on them.

Talkie Is a ‘Vintage LLM’ Trained on Pre-1930 Data to Help Facilitate ‘Time Travel’

The idea is that you restrict the training data provided to the model to material published before a given date. In the case ...
Semiconductor Engineering

Microarchitecture Tailored to 3D-Stacked Near-Memory Processing LLM Decoding (U. of Edinburgh, Peking U., Cambridge et al.)

A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling ...