Just days after DeepSeek R1 made headlines, Moonshot AI introduced Kimi AI 1.5, a model already touted superior to OpenAI’s ...

Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access ...

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 ...

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

In patients with symptoms such as irregular heartbeats, dizziness, or fainting, or in individuals that physicians suspect may have atrial fibrillation, many days of ECGs may be required for diagnosis ...

The governance platform is meant to prevent hallucinations, errors, bias and the other problems, and to track model activity to make sure nothing goes awry.

Last year, Groq announced an initiative to build an AI data center in Dammam, Saudi Arabia. The facility is optimized for ...

Moneyball has now entered its AI era. All teams in MLB have at least one analyst, with some employing dozens. The consistent ...

This AI model is designed to identify a range of mental health issues and increase the quality of students' lives and education.

For organizations ready to embrace the future, building the right infrastructure is the first step toward achieving ...

A s recently as 2022, just building a large language model ( LLM) was a feat at the cutting edge of artificial-intelligence ( ...