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The same architecture first shown on graphics processor code optimization also finished every public level of a demanding benchmark that requires discovering rules through trial and error.

Unlock neuro-symbolic AI's next leap: HMH packs hierarchical structures—roles, fillers, ontologies—into fixed-size hypervectors for ultra-efficient binding, unbinding, and probabilistic reasoning in PRIMUS architectures. Fast, clean, scalable logic meets neural speed.

Anthropic’s new model delivers near-frontier performance at half the cost of its top-tier sibling.

Converting mental handwriting brain activity into text in one small integrated system

AI researchers claim that they reproduced the core abilities of DeepSeek R1-Zero with open source model TinyZero, for just $30.

Explore the riveting history of chess and AI's intertwined evolution, from Turing's conceptual musings to AlphaZero's creative brilliance. Uncover the strategic dance between human intellect and machine logic.

Study reveals that pretraining artificial intelligence on standard universe models speeds up analysis yet can cause misinterpretation when novel effects resemble familiar ones.

Neuromorphic nanowire networks outperfom conventional artificial neural networks, avoiding heavy memory and energy usage

Study finds AI internal patterns distinguish commonplace from impossible scenarios in line with human judgment.

The Darwin Gödel Machine, a self-improving AI, rewrites its own code to enhance coding skills, offering potential for continuous learning and societal benefits.