A marriage of formal methods and LLMs seeks to harness the strengths of both.

Major US indexes hit record highs as a $2T crypto crash and credit tremors meet falling rents and weak jobs in a study of six trends. See why things are mixed.

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

AI is eliminating the either/or of qualitative depth and quantitative scale, giving marketers a new way to understand people and performance at once. The post You no longer have to choose between ...

This paper explores the prosaic deductive style developed by Melissus and Zeno. It first emphasizes the authors’ use of a systematic and reduced vocabulary solely dedicated to a priori deduction. In a ...

Abstract: Information about cyber-attack planning has been increasingly shared by malicious hackers online, making what was once a hard-to-penetrate market becomes accessible to a wider population.

Recent literature uses language to build foundation models for audio. These Audio–Language Models (ALMs) are trained on a vast number of audio–text pairs and show remarkable performance in tasks ...

Blue Moon star Ethan Hawke thought of his latest collaboration with director Richard Linklater as a different version of John Lennon and Paul McCartney. “The day they’re breaking up, only one of ...

In this review, we focus specifically on transformer-based LLMs, which are built on the transformer architecture, an attention-based mechanism capable of capturing complex dependencies in sequential ...