What if machines could not only process data but also reason through it like a human mind—drawing logical conclusions, adapting to new challenges, and solving problems with unprecedented precision?
Everyone knows that AI still makes mistakes. But a more pernicious problem may be flaws in how it reaches conclusions. As generative AI is increasingly used as an assistant rather than just a tool, ...
On Tuesday, OpenAI announced that o3-pro, a new version of its most capable simulated reasoning model, is now available to ChatGPT Pro and Team users, replacing o1-pro in the model picker. The company ...
Researchers from Samsung Electronic Co. Ltd. have created a tiny artificial intelligence model that punches far above its weight on certain kinds of “reasoning” tasks, challenging the industry’s ...
What if artificial intelligence could think more like humans, adapting to failures, learning from mistakes, and maintaining a coherent train of thought even in the face of complexity? Enter RAG 3.0, ...
Nvidia's roadmap plans to bring agentic AI from the digital space to the physical world with the release of new physical ...
Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...
Large language models (LLMs) are more accurate when they output intermediate steps. A strategy called reinforcement can teach them to do this without being told. The researchers introduced a paradigm ...
AI reasoning models that can ‘think’ are more vulnerable to jailbreak attacks, new research suggests
New research suggests that advanced AI models may be easier to hack than previously thought, raising concerns about the safety and security of some leading AI models already used by businesses and ...
As AI systems have advanced rapidly, with large language models (LLMs) at the center, every tech executive has experienced their limits—when AI systems struggle with complex problem-solving, produce ...
AI in finance is shifting from cold maths to reasoning-native models—systems that explain, verify, and build trust in banking and compliance. For years, artificial intelligence in finance has dazzled ...
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