David H. Freedman – författare

Our investments are devastated, obesity is epidemic, test scores are in decline, blue-chip companies circle the drain, and popular medications turn out to be ineffective and even dangerous. What happened? Didn't we listen to the scientists, economists and other experts who promised us that if we followed their advice all would be well? Actually, those experts are a big reason we're in this mess. And, according to acclaimed business and science writer David H. Freedman, such expert counsel usually turns out to be wrong -- often wildly so. Wrong reveals the dangerously distorted ways experts come up with their advice, and why the most heavily flawed conclusions end up getting the most attention-all the more so in the online era. But there's hope: Wrong spells out the means by which every individual and organization can do a better job of unearthing the crucial bits of right within a vast avalanche of misleading pronouncements.

For two years a computer break-in artist known only as "Phantom Dialer" seized control of hundreds - perhaps thousands - of computer networks around the world. Frightened network administrators watched helplessly as the intruder methodically slipped into universities, corporations, banks, and military facilities, including top-secret weapons-research sites. Working up to twenty hours a day, Phantom Dialer obsessively broke into one network after another - and no-one knew who he was or what he was after. Was he a spy? Was he laying the groundwork for a single massive theft? As the number of victims mounted, Phantom Dialer became the subject of the first major investigation of the FBI's new computer-crime squad and one of the biggest manhunts in the history of electronic crime. Though it reads like a thriller, AT LARGE is more than just a spellbinding account of one of the stranger episodes of the electronic 1990s. It is also a sharply observed group portrait of the new wired world and an expose of the technical flaws at its very core.

Hailed as "a chilling portrait" by The Boston Globe and "a crafty thriller" by Newsweek, this astonishing story of an obsessive hacker promises to change the way you look at the Internet forever. At Large chronicles the massive manhunt that united hard-nosed FBI agents, computer nerds, and uptight security bureaucrats against an elusive computer outlaw who broke into highly secured computer systems at banks, universities, federal agencies, and top-secret military weapons-research sites. Here is "a real-life tale of cops vs. hackers, by two technology writers with a flair for turning a complicated crime and investigation into a fast-moving edge-of-your-seat story" (Kirkus Reviews, starred). At Large blows the lid off the frightening vulnerability of the global online network, which leaves not only systems, but also individuals, exposed.

A fascinating tour behind the scenes at laboratories around the world as top researchers race to create revolutionary "thinking machines" that may one day lead to a new form of intelligence. Join David Freedman as he takes you on a fascinating tour behind the scenes at laboratories around the world as top researchers race to create revolutionary "thinking machines" that may one day lead to a new form of intelligence. The subject of fantasy and skepticism for centuries—from William James''s mechanical bride to 2001''s Hal to Star Wars'' R2D2—artificial intelligence has been limited to number-crunching computers that are "smart" only in highly specific domains like chess—until now. Brainmakers is an eye-opening, mind-expanding, and mind-blowing journey through laboratories engaged in cutting-edge research into neuroscience and robotics. Inside, you''ll discover: MIT''s Attila, a 3.6-pound, six-legged robot that learns as it interacts with its surroundings. Japan''s efforts to grow brain cells on chips and construct a "wiring diagram" of the human brain. UCLA''s "robot farm," where robots will be "bred" for intelligence. In exciting yet accessible detail, Freedman shows how this research has moved into a new realm that transcends computer science, combining neuroscience, microbiology, evolutionary biology, and zoology. Modeled after natural rather than artificial intelligence, thinking machines may soon develop powers that rival—or exceed—those of the human brain.