#ai-agents
Every article tagged ai-agents, ranked by recency.
Google I/O 2026 Highlights: A Deep Dive into AI Agents and Innovation
Google I/O 2026 showcased a shift towards AI agents and consequential updates in search and app development. Insights from industry experts illuminate the implications for the futu
Google Envisions a Universal Search Box for All Tasks
Google's ambitious plans for a universal search box aim to transform how users interact with its services—raising questions about the implications for content creators and internet
Google Enhances Gmail with Conversational AI Features
At Google I/O 2026, Gmail introduced Gmail Live, enabling users to ask questions about their inbox using conversational AI, enhancing user experience and email management.
Google Introduces AI Agents for Continuous Information Monitoring
Google's 2026 I/O keynote unveiled AI agents designed to provide continuous updates and actionable insights, redefining user engagement with search.
Ocean Protocol Secures $28M to Combat AI-Driven Phishing Threats
Ocean Protocol, founded by Shay Shwartz, raises $28 million to enhance email security against AI-powered phishing attacks, addressing critical vulnerabilities in digital communicat
Google’s AI Ambitions Depend on User Trust and Data Sharing
Google's latest AI developments, including Gemini Spark, hinge on user trust and data access. With personalized features rolling out, privacy concerns are at the forefront.
Manhattan Associates Unveils Marketplace for AI Supply Chain Agents
Manhattan Associates has launched the Manhattan Marketplace, allowing users to share and deploy AI agents tailored for supply chain workflows, enhancing operational efficiency.
Google’s Gemini API Introduces Managed Agents for Streamlined AI Development
Google's latest rollout of Managed Agents in the Gemini API simplifies the creation of AI agents, enabling seamless integration and execution in isolated environments.
Agentic AI Set for Rapid Adoption in Supply Chains by 2026
By 2026, supply chain organizations are expected to embrace agentic AI tools, blending predictive capabilities with human contextual intelligence, says Manhattan Associates.
NVIDIA Highlights Distinct Approaches in AI Model and Agent Evaluation
NVIDIA emphasizes the critical differences between AI model and agent evaluation, advocating for a trajectory-based approach to assess real-world performance.