While AI is often associated with efficiency and automation, the study underscores that AI production is deeply rooted in ...

AI models in the future will be large, small, portable, hybrid, remote and domain-specific and use cases will grow more ...

Linear normalization, which is most common, involves shifting the number axis so the data is balanced around zero, and then ...

Altman is the rare CEO to admit that the number of models the company released has made their core products more complicated to use.

HubSpot faces strong competition from Salesforce, Microsoft, Oracle, SAP, and others both large and small. We believe the legacy providers are most at risk for market share loss, but we also believe ...

Training LLMs and VLMs through reinforcement learning delivers better results than using hand-crafted examples.

To effectively present the uncertainty of convective-scale weather forecasts, convective-scale ensemble prediction systems ...

OpenAI will not release "o3" as a standalone artificial intelligence model, as the ChatGPT maker looks to simplify its ...

TikTok’s $300 billion-valued parent company, ByteDance, is one of the world’s busiest AI developers. It plans to spend billions of dollars on AI chips this year, while its tec ...

The default mode network (DMN) is a set of interconnected brain regions known to be most active when humans are awake but not ...

This is an important and solid study that examines the role of TFAM, a protein that helps maintain mtDNA, in mtDNA mutator mice. The authors have demonstrated that TFAM's counteractive role in mtDNA ...

Agents aren’t just users of tools; they’re tools themselves. Like modular components, they work independently or integrate ...