AI, Google and Search
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As it gets easier to create artificial-intelligence agents with platforms like Anthropic’s Claude Cowork , some businesses are dealing with ‘AI agent sprawl.’
DCI lets AI agents search raw files with grep and bash instead of embeddings — boosting accuracy 11 points and cutting retrieval costs 30% on complex tasks.
The first new model, Gemini 3.5 Flash, rolls out to all users starting now. Google CEO Sundar Pichai told reporters during a briefing ahead of I/O that the model is "an incredible delight to use" and a "game changer" internally at Google. It's trained to operate quickly and accomplishes tasks at about half the cost of competitor models, he said.
Google launched Gemini 3.5 Flash, its most powerful coding and agentic AI model yet, at the company's annual developer conference. It is capable of autonomously executing complex tasks and building software from scratch.
Microsoft's new vulnerability-scanning system, codenamed MDASH, scored 88.45% on the CyberGym benchmark, surpassing single-model systems from Anthropic and OpenAI by using more than 100 specialized AI agents across multiple models.
Technology companies are finding out that the “token” costs tied to running AI agents are spiralling out of control, especially as engineers increasingly use multiple AI coding agents simultaneously.
AI and automation are already part of most SOCs, yet investigations continue to stall at familiar points. Alerts get enriched faster, summaries look cleaner, and context becomes easier to access, but cases still wait for someone to decide what happens next,
Figma has launched an AI assistant inside its collaborative design canvas, allowing users to generate, edit, and automate designs using prompts.
Tech Xplore on MSN
AI assistants can accelerate scientific discoveries by helping design and interpret experiments
Two artificial intelligence (AI) systems that can assist throughout multiple processes involved in scientific research—such as generating hypotheses, designing experiments, and analyzing data—are presented in Nature.
It takes a spark to start a fire, and that’s the idea behind Google’s weirdly branded, new background AI agent, as I saw at Google I/O. So what is it exactly?