That A.I. is able to beat humans in board games is common knowledge by now. How that is relevant to companies is less clear. Normally scientists could be of help here. Clearing up the mess by debunking the hype and showing how trustworthy the technology really is. But many of the good A.I. researchers are connected to big tech companies and these companies have little incentive to debunk a hype when that negatively impacts their share holder value.

Henry Markram Talks Brain Simulation When will we have computers as capable as the brain? The brain is an infinite-dimensional network of networks of genes, proteins, cells, synapses, and brain regions, all operating in a dynamically changing cocktail of neurochemicals. Our perceptions and movements, thoughts and feelings emerge as electrical, chemical, and mechanical chain reactions explode and weave through these networks. Because there is no scientific evidence that we can ignore any of these reactions, the only way to get close to the capabilities of the brain is to simulate or emulate all of them. When that will happen depends on the level of resolution that we need to capture all these reactions.

Artificial intelligence is progressing rapidly, and its impact on our daily lives will only increase. Today, there are still many things humans can do that computers can't. But will it always be that way? Should we worry about a future in which the capabilities of machines rival those of humans across the board? For IEEE Spectrum's June 2017 special issue, we asked a range of technologists and visionaries to weigh in on what the future holds for AI and brainlike computing.

On October 4th, 2006, Carnus Systems was invited to speak at an HFTP Educational Session about new artificial intelligence (AI) forecasting technologies for the hospitality sector, and how these technologies can be used to improve service quality and reduce labor costs. The benefits of artificial intelligence within hospitality are particularly evident in F&B departments, environments that are notoriously challenging to staff due to radical daily fluctuations in demand. AI has many current applications. New elevator systems in high-rise buildings, including the one at the New York Times headquarters in New York City, implement artificial intelligence technologies to make passenger transportation more efficient. During peak times, the elevator systems "learn" where to park elevator cars, how to group passengers together, and which floors to stop on to minimize transportation time.

Super human artificial intelligence is coming, says Sam Harris, a Stanford grad with his PhD in neuroscience from UCLA. He has five New York Times bestsellers under his belt. "It's very difficult to see how they won't destroy us or inspire us to destroy ourselves," he says. How should we be preparing? Sam says our current emotional response--that it's cool--is woefully lacking.

Super human artificial intelligence is coming, says Sam Harris, a Stanford grad with his PhD in neuroscience from UCLA. He has five New York Times bestsellers under his belt. "It's very difficult to see how they won't destroy us or inspire us to destroy ourselves," he says. How should we be preparing? Sam says our current emotional response--that it's cool--is woefully lacking.