The Hardware Behind the AI

AI Hardware, Explained: In 2011, Marc Andreessen said, “software is eating the world.” And in the last year, we’ve seen a new wave of generative AI, with some apps becoming some of the most swiftly adopted software products of all time.

So if software is becoming more important than ever, hardware is following suit. — Read More

Chasing Silicon: The Race for GPUs: (U)nlocking the full potential of AI means a constant need for faster and more resilient hardware. — Read More

The True Cost of Compute: … But how much does this all really cost? In this final segment of our AI hardware series, we tackle that question head on. — Read More



#nvidia, #podcasts

101.school

101.school is an experiment in creating AI generated course contents.

It works like this: you enter something you’re curious about, and then we generate a 13 week course on the subject.

You can choose to receive the course via email, or read it on the site. We’ll keep track of your progress. — Read More

#training

New acoustic attack steals data from keystrokes with 95% accuracy

A team of researchers from British universities has trained a deep learning model that can steal data from keyboard keystrokes recorded using a microphone with an accuracy of 95%.

When Zoom was used for training the sound classification algorithm, the prediction accuracy dropped to 93%, which is still dangerously high, and a record for that medium.

Such an attack severely affects the target’s data security, as it could leak people’s passwords, discussions, messages, or other sensitive information to malicious third parties. — Read More

#audio, #surveillance