The company is positioning its new offerings as a business-ready way for enterprises to build domain-specific agents without first needing to create foundation models.

Amazon Web Services Inc. wants to solve the efficiency challenges of artificial intelligence agents and reduce their overall inference demands, and it’s tackling the problem with more advanced model ...

ChatGPT's new Agent Mode can browse the internet, complete spreadsheets, and even answer emails. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

Master-cho-mamba is a state-of-the-art offline reinforcement learning agent that leverages Mamba (State Space Model) architecture for sequence modeling in reinforcement learning tasks. Built ...

Abstract: Mobile Ad Hoc Networks (MANETs) consist of decentralized wireless networks with dynamic topologies and frequent link failures which make achieving efficient routing extremely difficult.

Multi-Agent Reinforcement Learning (MARL) is an emerging subfield of artificial intelligence that investigates how multiple autonomous agents can learn collaboratively and competitively within an ...

Abstract: Despite great achievement has been made in autonomous driving technologies, autonomous vehicles (AVs) still exhibit limitations in intelligence and lack social coordination, which is ...

Large Language Model (LLM)-based coding agents have shown promising results on coding benchmarks, but their effectiveness on systems code remains underexplored. Due to the size and complexities of ...

There are seven different types of AI agents, from Simple Reflex agents to Multi-Agent systems. Currently, leading AI companies are mainly building Goal-based agents along with Learning agents. In the ...

Agents can automate and execute many business processes. They’re transforming business—helping create cost savings, efficiencies, and revenue growth. Microsoft 365 Copilot is the place where people ...