Agentic Ai

• AgentOptics framework uses agentic AI for autonomous optical system control via MCP. • Interprets natural language tasks, executes protocol-compliant actions across heterogeneous

• Current AI safety benchmarks assess agents in isolation, ignoring human‑AI interaction dynamics. • Single‑channel evaluation misrepresents operational safety, unlike redundancy‑b

• Mark Ren, CEO of Agentrys, discusses autonomous agents. • Agent‑based design automation reduces complexity. • Addresses talent shortage in semiconductor industry. • Focuses on AI

• Agentic AI drives design engineering innovation. • Higher data speeds enable new applications. • Thermal management remains critical for chip design. • Interconnects face challen

• Agentic AI enables systems to plan, execute, and persist tasks autonomously, surpassing simple recommendation engines. • Unlike RPA, Agentic AI creates dynamic plans based on goa

• Agentic AI shifts commerce from search to proactive assistants for retailers. • Agents act on intent, learn preferences, and complete transactions autonomously. • Retailers must