Visual BCIs based on steady-state visual evoked potentials (SSVEPs) have long been the gold standard for high-speed noninvasive brain-computer ...

Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

There are an estimated 53 million employees in the United States, Canada and Europe who are classified as lone workers, meaning they work in the field, remotely or by themselves. These individuals ...

At the core of these advancements lies the concept of tokenization — a fundamental process that dictates how user inputs are interpreted, processed and ultimately billed. Understanding tokenization is ...

Processor architectures are evolving faster than ever, but they still lag the pace of AI development. Chip architects must ...

Many CHROs I work with are brilliant, deeply empathetic, and genuinely trying to navigate an impossible set of demands. The problem is that the role itself in terms of its scope, its positioning, its ...

Based on theories from political economy and linguistics, the research argues that language has always been tied to labor.

As LLM scaling hits diminishing returns, the next frontier of advantage is the institutionalization of proprietary logic.

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.