Triggered Backdoors” was published by researchers at Berlin Institute for the Foundations of Learning and Data (BIFOLD), TU ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Investors make predictable mistakes when forecasting earnings and stock returns, but machine learning models avoid them through adaptive learning.

Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.

AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows us to recognize when we see ourselves reflected there.

As enterprises seek alternatives to concentrated GPU markets, demonstrations of production-grade performance with diverse hardware reduce procurement risk.

No, we did not miss the fact that Nvidia did an “acquihire” of AI accelerator and system startup and rival Groq on Christmas Eve. But, because our family ...

Abstract: In the Machine Learning as a Service paradigm, a service provider (e.g., a server) hosting a model offers inference APIs to clients, who can send their queries and receive the inference ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type of intelligent image sensor that can perform machine-learning inference ...

Abstract: Mobile applications based on machine learning (ML) are increasingly relying on offloading to the edge devices for low-latency, resource-efficient computation. Applying serverless computing ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

SEOUL, South Korea and SANTA CLARA, Calif., Sept. 11, 2025 /PRNewswire/ -- Moreh, an AI infrastructure software company, unveiled its distributed inference system on AMD and showcased the progress of ...