Apple scientists show LLMs rely on pattern recognition, lacking true reasoning—an illusion of intelligence rather than ...

Pattern recognition is one of the four cornerstones of Computer Science. It involves finding the similarities or patterns among small, decomposed problems that can help us solve more complex ...

Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and ...

Apple just exposed major cracks in AI's capabilities. See why LLMs still can't handle complex reasoning and what it means for your decision-making processes.

AI applications Apple engineers large language models ChatGPT DALL-E logical reasoning pattern recognition human-like ...

Pattern recognition is the process of discovering similarities within small problems to ... This could be through projects, experiments, virtual experiments or even competitions. For example, building ...

Many models/machines are singular: mixture models, neural networks, HMMs, Bayesian networks, stochastic context-free grammars are major examples. The theory achieved here underpins accurate estimation ...

After people stopped caring, artificial intelligence got more interesting.

Apple's AI research team has uncovered significant weaknesses in the reasoning abilities of large language models, according ...

Current LLMs are not capable of genuine logical reasoning; instead, they attempt to replicate the reasoning steps observed in ...

The CogX Summit, held last week at the Royal Albert Hall in London, brought together leaders, innovators, and thinkers to ...

This brain teaser challenges you to find the missing number in a sequence following a doubling pattern. Starting with 4, the ...