AI researchers admit that the hype around AI may be cooling off once again. (more…)

Come, walk with me for a while through latent space. (more…)

Building your in-home AI stack can make your business more less reliable on other tools and framework, but this comes with own pros and cons. (more…)

In a paper recently published in Nature, Stanford researchers presented a new compute-in-memory (CIM) chip using resistive random-access memory (RRAM) that promises to bring energy efficient AI capabilities to edge devices. (more…)

Machine learning (ML) algorithms can already recognize patterns far better than the humans they’re working for. This allows them to generate predictions and make decisions in a variety of high-stakes situations. For example, electricians use IBM Watson’s ... (more…)