Desk
Autonomous and semi-autonomous software agents.
Muse Voice is live for everyone in the U.S. — call and video chat with a customizable Jolly avatar that gestures with the conversation, ahead of Meta's year-end Muse Charm wearable.
Microsoft Research's PDD Kit turns intent into Verus specs so agent-written Rust — including a Pet Store login — is proved for every input, with tests only where proofs cannot reach.
Box is wiring Nvidia’s open Nemotron embeddings into enterprise search so agents get relevant chunks instead of reading every document — faster, cheaper, and harder to clone without Box’s permission layer.
Together AI's new compiler keeps rewriting model forward passes as live traffic shifts, and the early numbers say a one-shot kernel tune is already the wrong mental model.
Nvidia is running its own DGX SuperPOD ops with a chat of specialized agents that correlate compute, network, hardware, and scheduling failures — on-prem, with Nemotron, and read-only until SREs trust it.
NVIDIA is pitching a disciplined loop for fixing agents: read the traces, write a test for the failure, change the harness, and prove it on tasks the fixer never saw.
A sponsored piece argues that when agents pass data to other agents, security stops being about guarding systems and starts being about knowing where every piece of data came from.
An MIT-licensed science model trained on real lab records and failed experiments is a meaningful gift to open research, if its self-reported wins hold up once outsiders test it.
NVIDIA's Cosmos update makes simulated driving, robot and even surgical worlds easier to generate, which is useful for testing, provided nobody mistakes a convincing simulation for proof of safety.
A sponsored survey says analytics agents miss more often than they help, and the honest fix it points to is unglamorous: business context and governance, not a bigger model.
The metric is right: judge AI coding spend by merged work, not tokens. Just remember this case comes from a vendor that sells the on-premises fix.
NVIDIA is betting that the hard part of data agents isn't writing SQL, it's knowing what the numbers mean, and it has open-sourced the layer that's supposed to hold that meaning.