A website for agricultural machine intelligence and automation, likely focused on AI applications in farming and agricultural technology.

A family of lightweight decision models built on Qwen3.5 that you can train and run locally, inspired by Jev-like architectures.

A continual learning model trained from scratch on resource-constrained hardware, using an 8GB VRAM laptop with batch-1 streaming data.

LLMs used as classifiers have significant limitations like poor calibration and difficulty incorporating structured data, but treating LLM outputs as features for traditional ML models like logistic regression can overcome these constraints.

Google's document exploring the applications, opportunities, and implications of artificial intelligence across scientific research and discovery.

Google DeepMind introduces AlphaGenome Atlas, a new AI model and resource for genomic research and analysis.