Showing results for "The Andersons" in Computers & Technology

In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.

Chaos and order clash in this riveting exploration of crime and punishment on the Internet. Once considered a borderless and chaotic virtual landscape, the Internet is now home to the forces of international law and order. It's not just computer hackers and cyber crooks who lurk in the dark corners of the Web - the cops are there, too. In The Internet Police, Ars Technica editor Nate Anderson takes readers on a behind-the-screens tour of landmark cybercrime cases, revealing how criminals continue to find digital and legal loopholes even as police hurry to cinch them closed.

Online dating has moved from the fringe to the forefront, but many people still have no clue how to find their match in cyberspace. This powerful audio program presents a proven, easy, and fun method for finding love online, while steering clear of Internet dating hazards. Full of practical tips and techniques, this audio course will save you time and frustration by teaching a fool-proof strategy for succeeding at Internet dating.

The dream of a universal translation device goes back many decades, long before Douglas Adams's fictional Babel fish provided this service in The Hitchhiker's Guide to the Galaxy. Since the advent of computers, research has focused on the design of digital machine translation tools - computer programs capable of automatically translating a text from a source language to a target language. This has become one of the most fundamental tasks of artificial intelligence.