The use of artificial intelligence (AI) agents, systems that learn to make predictions, generate content or tackle other ...
They can shop, book flights, and control your apps—at least in theory. In practice, today’s AI agents are slow, error-prone, ...
There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.
Despite having just 3 billion parameters, Ferret-UI Lite matches or surpasses the benchmark performance of models up to 24 times larger.
A handful hog the headlines, but many function-specific agents are available to developers and users. MIT's latest study explores the broader agentic ecosystem.
Researchers found that interest in AI agents has undoubtedly skyrocketed in the last year or so. Research papers mentioning ...
Instead of scrolling on websites or strolling through stores, people are beginning to prompt AI agents to find, compare, and ...
Attackers recently leveraged LLMs to exploit a React2Shell vulnerability and opened the door to low-skill operators and calling traditional indicators into question.
Understand how this artificial intelligence is revolutionizing the concept of what an autonomous agent can do (and what risks ...
Claude Cowork turns AI into a desktop agent that manages files, runs browser research, builds reusable Skills, and automates ...
Darktrace researchers say hackers used AI and LLMs to create malware to exploit the React2Shell vulnerability to mine ...
A marriage of formal methods and LLMs seeks to harness the strengths of both.
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