AI systems learn better when trained with inner speech like humans

Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.

Yann LeCun On Artificial General Intelligence And The Digital Commons

Speaking on the prospect of artificial general intelligence, LeCun suggested it’s a misnomer, because human intelligence, in his view, is not general. He prefers the term “human-level intelligence,” ...
IEEE

Approximate Task Tree Retrieval in a Knowledge Network for Robotic Cooking

Abstract: Flexible task planning continues to pose a difficult challenge for robots, where a robot is unable to creatively adapt their task plans to new or unseen problems, which is mainly due to the ...

Particle permutation task can be tackled by quantum but not classical computers, study finds

Quantum computers, systems that process information leveraging quantum mechanical effects, are expected to outperform ...
EurekAlert!

Explanation-based retrieval boosts grammatical error correction

Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and ...
IEEE

LATMOS: Latent Automaton Task Model from Observation Sequences

Abstract: Robot task planning from high-level instructions is an important step towards deploying fully autonomous robot systems in the service sector. Three key aspects of robot task planning present ...