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Showing posts from September, 2019

IBM will soon launch a 53-qubit quantum computer...

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IBM today announced that it will soon make a 53-qubit quantum computer available to clients of its IBM Q Network. The new system, which is scheduled to go online in the middle of next month, will be the largest universal quantum computer available for external use yet. The new center, which is essentially a data center for IBM’s quantum machines, will also feature five 20-qubit machines, but that number will grow to 14 within the next month. IBM promises a 95% service availability for its quantum machines. The New 53-qubit system introduces a number of new techniques that enable the company to launch larger, more reliable systems for cloud deployments. It features more compact custom electronics for improving scaling and lower error rates, as well as a new processor design. The fact that IBM is now opening this Quantum Computation itself, of course, is a pretty good indication about how serious the company is about its quantum efforts. The company’s quantum program also

How to Build Artificial Intelligence We Can Trust?

Right now  Computer systems don’t understand time, space and causality. it hasn’t yet earned our confidence, Artificial intelligence has a trust problem. But we are relying on A.I. more and more. Tesla cars driving in Autopilot mode, for example, have a troubling history of crashing into stopped vehicles. Amazon’s facial recognition system works great much of the time, but when asked to compare the faces of all 535 members of Congress with 25,000 public arrest photos, it found 28 matches, when in reality there were none. A computer program designed to vet job applicants for Amazon was discovered to systematically discriminate against women. Every month new weaknesses in A.I. are uncovered. The problem is that today’s A.I. needs to try to do something completely different, Not that today’s A.I. needs to get better at what it does. In particular, we need to stop building computer systems that merely get better and better at detecting statistical patterns in data sets — often usi