Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

EUDIW/EBW providers must not require bundling with any specific LLM/agent vendor. LLM providers may integrate, but cannot be mandatory intermediaries for wallet use. Issuers must support binary/signed ...

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

Forbes contributors publish independent expert analyses and insights. Aytekin Tank is the founder and CEO of Jotform. AI agents, in case you haven’t noticed, are everywhere. Every week, I see new ...

A new orchestration approach, called Orchestral, is betting that enterprises and researchers want a more integrated way to ...

Varun is a product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. One-off benchmarks rarely predict business outcomes. AI evals ...

Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a ...

Microsoft is moving beyond copilots to fully autonomous agents. Foundry and MCP let agents assemble solutions using 1,400 tools. IQ services aim to give agents true context and understanding. At ...

A common use case in generative AI is developing an agent, which is a system users interact with in plain language to accomplish a given task. Creating AI agents can require a lot of heavy lifting, ...

If LLMs don’t see you as a fit, your content gets ignored. Learn why perception is the new gatekeeper in AI-driven discovery. Before an LLM matches your brand to a query, it builds a persistent ...

A new technical paper titled “EEsizer: LLM-Based AI Agent for Sizing of Analog and Mixed Signal Circuit” was published by researchers at The University of Edinburgh. “The design of Analog and ...