Thinking Machines challenges OpenAI's AI scaling strategy: 'First superintelligence will be a superhuman learner'

Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...
Tech Xplore on MSN

AI teaches itself and outperforms human-designed algorithms

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...

AI’s Next Frontier? An Algorithm for Consciousness

Some of the world’s most interesting thinkers about thinking think they might’ve cracked machine sentience. And I think they ...
Slator

Bridging Human and Machine: How L&D Leaders are Redefining AI in eLearning

AI is transforming learning – not by replacing people, but by empowering learning professionals to blend data, creativity and ...
Unite.AI

The End of Tabula Rasa: How Pre-Trained World Models are Redefining Reinforcement Learning

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...
Scientific Research Publishing

A Novel Hybrid Quantum Framework for Assessing Noise Effects on Performance of Shor’s Algorithm ()

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...
HealthDay on MSN

AAO: Machine Learning Outperforms Human Graders for Diagnosing Glaucoma

HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of Ophthalmology, held from Oct.