VentureBeat

Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs

Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated with using ...
EurekAlert!

Privacy first: A new federated meta-learning approach to personalize travel behavior analysis

The overall architecture of IPC-FM: (a) Backbone model structure, where FFN stands for the feed-forward network; (b) Meta-model utilization procedure, which includes local meta-learning, global ...
Computerworld

Meta’s SPICE framework pushes AI toward self-learning without human supervision

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...
VentureBeat

30 seconds vs. 3: The d1 reasoning framework that’s slashing AI response times

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers from UCLA and Meta AI have ...
InfoWorld

Meta releases PyTorch inference framework for edge devices

ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.