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Many technological shifts have coincided with economic downturns. Will 2025 be the year AI not only augments jobs but starts to replace them?

With multiple sampling and self-verification, Gemini 1.5 Pro can outperform o1-preview in reasoning tasks.

Anthropic launches real-time web search for Claude AI, challenging ChatGPT's dominance while securing $3.5 billion in funding at a $61.5 billion valuation.

The fate of Project Slide Wow depends on user interest and engagement, as Adobe monitors social media conversations.

Nvidia said it is building a Boston-based research center to provide cutting-edge technologies to advance quantum computing.

Nvidia said 6G wireless networks are coming, with help from artificial intelligence processing.

Students can step inside this legendary St. Peter's Basilica building and take on the role of its caretakers in Minecraft Education.

Baidu has also announced plans to integrate ERNIE 4.5 and ERNIE X1 into its broader ecosystem, including Baidu Search and the Wenxiaoyan app.

France's Mistral AI launches efficient open-source model that outperforms Google and OpenAI offerings with just 24 billion parameters, challenging U.S. tech giants' dominance in artificial intelligence.

While impressive in controlled demos, today's AI technologies expose critical limitations when transitioning to production-ready games.

Klang, the pioneering studio behind the ambitious simulation Seed, announced a strategic partnership with Google Cloud.

OpenAI's new API and Agents SDK consolidate a previously fragmented complex ecosystem into a unified, production-ready framework. For enterprise AI teams, the implications are potentially profound: Projects that previously demanded multiple frameworks, specialized vector databases, and complex orchestration logic can now be achieved through a single, standardized platform. But perhaps most revealing is OpenAI’s implicit acknowledgment that solving AI agent reliability issues requires outside expertise. This shift comes amid growing evidence that external developers are finding innovative solutions to agent reliability – something that the shocking Manus release also clearly demonstrated. This strategic concession represents a critical turning point: OpenAI recognizes that even with its vast resources, the path to truly reliable agents requires opening up to outside developers who can discover innovative solutions and workarounds that OpenAI's internal teams might miss.