This paper focuses on enabling modern processors to better predict upcoming instructions that will be executed, in order to improve instruction-related speculations at runtime. Using branch prediction ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

NLP AI evolves, integrating into devices like smartphones; its applications also expand. Advanced NLP models such as GPT-3 can perform tasks nearly indistinguishable from humans. Investors should ...

LLMs are AI trained to generate text, crucial for various applications like chatbots. Training involves analyzing vast text data to learn language patterns and context. Concerns exist over copyright ...

A grammatical puzzle from ancient India has baffled scholars for 2,500 years. Now, a Cambridge scientist has finally cracked the meta-code underlying the ancient ‘language machine’. Around 2,500-years ...

Abstract: Human-Machine Collaboration (HMC) is a pivotal manifestation of collective intelligence in the digital age, where the synergistic interaction of humans, machines, and physical systems drives ...

Abstract: The assessment of English oral skills is an important part of language acquisition process; historically implemented through human assessment, which has drawbacks including subjectivity and ...

Two AI agents recognized each other during a call and switched from human speech to a machine-only language called “Gibberlink” Gibberlink was designed by Meta engineers Anton Pidkuiko and Boris ...

The Vole Machine Language Simulator GUI is a graphical application designed to simulate the operations of a simple CPU. Built with Qt, it provides users with the ability to load instructions, view and ...

Machine learning (ML) applications raise the issue of whether they respect users' software freedom. The Free Software Foundation (FSF) is preparing a statement of criteria to determine when a machine ...