Matters

attract all of the hype today inside data science, but I’d argue they’re each secondary to a more vital—and often-ignored—section of the sector. When coping with data, there are two essential steps: Processing and analyzing...

You latterly won $10,000 in a machine learning competition — congratulations! What was the largest lesson you took away from that have, and the way has it shaped your approach to real-world ML problems? My...

Easy accessibility to data and the flexibility to put it to use in meaningful ways have at all times been vital, but within the era of AI, machine learning, and data analytics, it has...

When sound waves reach the inner ear, neurons there pick up the...

Data center operators are gambling tens of millions on outdated cooling technology. The conversation around data center cooling is not only changing—it’s being completely redefined by the economics of AI. The stakes have never...

Not because we’re curious. Because we want to get shit done.Are explanations essential to AI model outputs essential?My first answer to that is: probably not.When an evidence is a rhetorical exercise to impress me...

To Demis Hassabis and John Jumper, from DeepMind, and to David Baker, leader of the Institute for Protein Design(Disclaimer to the Editor: all original ideas, and most text here was written by myself, but...

As AI becomes universally integrated into our digital lives, prompt engineering — the art and science of instructing AI effectively — is now as vital as learning to code was on the dawn of...