From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
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Understanding how AI models learn

Many small businesses use AI tools every day, but how do they actually work? And where does all that “knowledge” come from?imageAI models may seem incredibly smart, but there’s no magic involved.
Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving intellectual tasks. These models are not replicas of human intelligence. Their ...
AI factories meet the computational capacity and power requirements of today’s machine-learning and generative AI workloads.
A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.
A new study from the University at Albany shows that artificial intelligence systems may organize information in far more ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
Machine learning decodes brain signals for paralysis recovery in just one second using sensors placed on scalp not inside ...
Along with the Cross Training equipment, Peloton launched Peloton IQ, its new AI software that gives members a more ...
Nigeria stands at a critical point in its educational evolution as policymakers, educators, industry leaders, and technology experts come together to shape ...
As global carriers in aggressively pursue AI-driven automation, U.S. operators require architectural frameworks that enable innovation and manage infrastructure.