A multi-agent system divides work among multiple AI agents that coordinate, specialize, debate, or act in parallel. The ...
Self-driving lab systems (aka, autonomous experimentation) accelerate research - letting scientists learn faster, spend less resources, and fail smarter in well defined, narrow studies. The ...
According to @emollick, Claude Projects coordinates specialist agents via a central orchestrator, mixing costs and launching parallel research threads.
Autonomous vehicle companies use simulators to train their self-driving systems and teach them how to react to “agents” — things like pedestrians, cyclists, traffic signals and other cars. To have a ...
Varun is a Product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. Three weeks ago, I witnessed AI agents solving a complex ...
Embedded Markets launched with two AI-agent risk tools, LeveeBacktest Engine and emPortfolioAnalyzer, both due in beta in the ...
SAN FRANCISCO, August 20, 2025--(BUSINESS WIRE)--Doppel, the leader in multi-channel social engineering defense, today announced Doppel Simulation, a new product and expansion to the Doppel Vision ...
NVIDIA today announced NVIDIA Omniverse libraries - a collection of software components that give AI agents tools and skills to add physical AI capabilities to existing applications and prepare 3D ...
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