AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats.

Training machine-learning models with synthetically generated data can alleviate the problem of data scarcity when acquiring diverse and sufficiently large datasets is costly and challenging. Here we ...

With the development of AI technology, the number of cyber security threats that exploit it is increasing rapidly, and it is urgent to build an effective security threat detection system to respond to ...

A major difference between LLMs and LTMs is the type of data they’re able to synthesize and use. LLMs use unstructured data—think text, social media posts, emails, etc. LTMs, on the other hand, can ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

Inception, a new Palo Alto-based company started by Stanford computer science professor Stefano Ermon, claims to have developed a novel AI model based on “diffusion” technology. Inception calls it a ...

AI models that process multiple types of information at once bring even bigger opportunities, along with more complex challenges, than traditional unimodal AI. In partnership withJina AI Multimodality ...

The term generative AI refers to a relatively new field of AI that can create human-like content, from pictures and videos to poetry and even computer code. To achieve this, several different ...

Digital transformation in business involves using new technologies like artificial intelligence and cloud computing to drive growth, streamline operations and increase competitive edge. Its impact can ...