Existing LLM architecture may not support the problem-solving capabilities needed to underpin human-level AI, the authors of ...
In its primary application, mitosis detection in digital pathology, the system achieves strong predictive performance while maintaining 96% fidelity between predictions and explanations. Each decision ...
Instead of just answering prompts faster, Gemini 3.1 Pro leans heavily into multi-step reasoning. It can take messy, layered tasks and actually break them down into something usable. It can think ...
Abstract: The importance of visual abstract reasoning problems in the field of image processing cannot be overstated. Both Bongard-Logo problems and Raven’s progressive matrices (RPM) belong to the ...
There is no shortage of AI benchmarks in the market today, with popular options like Humanity's Last Exam (HLE), ARC-AGI-2 and GDPval, among numerous others. AI agents excel at solving abstract math ...
Probabilistic reasoning is central to many theories of human cognition, yet its foundations are often presented through abstract mathematical formalisms disconnected from the logic of belief and ...
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 ...
OpenAI and Google DeepMind Outshine Students at World’s Top Coding Contest Your email has been sent GPT-5 leads the way with first-try correct solutions Gemini showcases Google DeepMind’s leap in ...
A new study from Arizona State University researchers suggests that the celebrated "Chain-of-Thought" (CoT) reasoning in Large Language Models (LLMs) may be more of a "brittle mirage" than genuine ...
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