ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?

Nvidia's deal with Meta shows big upside potential, especially with other hyperscalers also breaking their banks to serve AI ...

Quantum Transportation’s unique decoder is making another step forward by being validated in high-performance cloud environments Ra’anana, ...

Autonomous vehicles have made remarkable progress over the past decade, accumulating millions of miles and performing well on highways, in controlled test areas, and in select urban zones. However, ...

Leading AI models are failing basic logic tests at alarming rates, and the consequences extend well beyond academic curiosity. New research shows that the same systems millions of people rely on for ...

The mesh network you forgot about.

The most important was the decision by Apple, the only tech giant that mostly sat out the AI race, to adopt Gemini as its default AI on Apple devices. In that context, it makes sense that OpenAI ...

The paper’s central hypothesis is that the mechanical sound vibrations generated by striking thalis or bells are capable of killing or inactivating the SARS-CoV-2 coronavirus. The author draws on ...

The shift from training-focused to inference-focused economics is fundamentally restructuring cloud computing and forcing ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.