For more than 30 years, Gibbs has advised on and developed product and service marketing for many businesses and he has consulted, lectured, and authored numerous articles and books. So the UK has just given itself a national headache. Whether you think the Brexit was the right decision or a dangerous and unmitigated screw-up (as I do), the consequences of the referendum will be non-trivial and take years to complete. But the mechanics of the UK exiting the European Union aside, the question of how people now feel about the Brexit is interesting. Are they awash in jubilation or has buyer's remorse set in?

Soon, when restaurant-goers hear "May I take your order?" those words may be coming from a robot. Some restaurants have started experimenting with human-like robots instead of human cashiers, allowing consumers to pay for their meals without interacting with another person. Although many restaurants have allowed digital ordering, either online, by kiosk or on tablets at the table, the practice of using humanoid, or human-like robots, is still in its earliest stages, and it's primarily happening in Asia so far. Experts say the robots could benefit restaurants and lead to wider adoption -- if diners aren't too freaked out by them. Pizza Hut YUM, 1.74% is the latest company to try a robot cashier, in a partnership with robotics company SoftBank Robotics and MasterCard MA, 0.76%, which has created the payment app. The application works only with MasterCard's MasterPass, a digital wallet that allows payment by MasterCard cards, as well as credit, debit or prepaid cards from Maestro, American Express AXP, 2.84%, Diner's Club, Discover DFS, 3.36% and Visa V, 2.46% .

Want to know how much you spent on Uber rides last month? A new banking bot called MyKAI can give you some answers. Kasisto's new banking smart bot, which works with messaging platforms like Facebook Messenger and Slack to make financial transactions and answer questions, is part of a broader trend towards using AI to enrich customers' interactions with companies. You can make payments, ask the bot things like how much money is in your account, and even ask general questions like "What is a CD?" It can even provide an answer if you want to know if you have a gambling problem. But how does MyKAI fit into the bigger bot world? How is it using AI to enable meaningful conversations with customers?

Want to know how much you spent on Uber rides last month? A new banking bot called MyKAI can give you some answers. Kasisto's new banking smart bot, which works with messaging platforms like Facebook Messenger and Slack to make financial transactions and answer questions, is part of a broader trend towards using AI to enrich customers' interactions with companies. You can make payments, ask the bot things like how much money is in your account, and even ask general questions like "What is a CD?" It can even provide an answer if you want to know if you have a gambling problem. Why Dick's Sporting Goods decided to play its own game in e commerce Dick's Sporting Goods has long partnered with eBay Enterprise on its e -commerce platform. Learn the benefits and risks of this multi -million dollar IT bet.

The technical potential for automation differs dramatically across sectors and activities. As automation technologies such as machine learning and robotics play an increasingly great role in everyday life, their potential effect on the workplace has, unsurprisingly, become a major focus of research and public concern. The discussion tends toward a Manichean guessing game: which jobs will or won't be replaced by machines? In fact, as our research has begun to show, the story is more nuanced. While automation will eliminate very few occupations entirely in the next decade, it will affect portions of almost all jobs to a greater or lesser degree, depending on the type of work they entail. Automation, now going beyond routine manufacturing activities, has the potential, as least with regard to its technical feasibility, to transform sectors such as healthcare and finance, which involve a substantial share of knowledge work. These conclusions rest on our detailed analysis of 2,000-plus work activities for more than 800 occupations.

The devastating neurodegenerative condition Alzheimer's disease is incurable, but with early detection, patients can seek treatments to slow the disease's progression, before some major symptoms appear. Now, by applying artificial intelligence algorithms to MRI brain scans, researchers have developed a way to automatically distinguish between patients with Alzheimer's and two early forms of dementia that can be precursors to the memory-robbing disease. The researchers, from the VU University Medical Center in Amsterdam, suggest the approach could eventually allow automated screening and assisted diagnosis of various forms of dementia, particularly in centers that lack experienced neuroradiologists. Additionally, the results, published online July 6 in the journal Radiology, show that the new system was able to classify the form of dementia that patients were suffering from, using previously unseen scans, with up to 90 percent accuracy. "The potential is the possibility of screening with these techniques so people at risk can be intercepted before the disease becomes apparent," said Alle Meije Wink, a senior investigator in the center's radiology and nuclear medicine department. "I think very few patients at the moment will trust an outcome predicted by a machine," Wink told Live Science.

The most sophisticated, widely adopted, and important tool for looking at living brain activity actually does no such thing. Called functional magnetic resonance imaging, what it really does is scan for the magnetic signatures of oxygen-rich blood. Blood indicates that the brain is doing something, but it's not a direct measure of brain activity. Which is to say, there's room for error. That's why neuroscientists use special statistics to filter out noise in their fMRIs, verifying that the shaded blobs they see pulsing across their computer screens actually relate to blood flowing through the brain.

NETHERLANDS -Machine learning is a type of artificial intelligence that allows computer programs to learn things when exposed to new data, without being reprogrammed. Now, researchers have matched machine learning methods with a special technique of magnetic resonance imaging (MRI) that measures blood perfusion (absorption rate of this tissue) throughout the brain to detect early forms of dementia. MRI can help diagnose Alzheimer's disease. However, early diagnosis is difficult. Scientists have long known that Alzheimer's disease is a gradual process and that the brain undergoes functional changes before the structural changes associated with the disease visually displayed on the test results.

Alzheimer's is a devastating chronic neurodegenerative disease that currently affects about 5.4 million people in the U.S. alone. Alzheimer's patients suffer progressive mental deterioration, which eventually impairs even basic bodily functions like walking and swallowing. While Alzheimer's can increasingly be managed, one of the big challenges of the disease is early diagnosis. MRI machines can be used to confirm advanced cases, but by the time the disease has reached this stage, brain tissue is gone and there is no way to restore it. Could machine-learning tools be used to help detect and identify Alzheimer's disease before it is currently possible to do so?

The devastating neurodegenerative condition Alzheimer's disease is incurable, but with early detection, patients can seek treatments to slow the disease's progression, before some major symptoms appear. Now, by applying artificial intelligence algorithms to MRI brain scans, researchers have developed a way to automatically distinguish between patients with Alzheimer's and two early forms of dementia that can be precursors to the memory-robbing disease. The researchers, from the VU University Medical Center in Amsterdam, suggest the approach could eventually allow automated screening and assisted diagnosis of various forms of dementia, particularly in centers that lack experienced neuroradiologists. Additionally, the results, published online July 6 in the journal Radiology, show that the new system was able to classify the form of dementia that patients were suffering from, using previously unseen scans, with up to 90 percent accuracy. "The potential is the possibility of screening with these techniques so people at risk can be intercepted before the disease becomes apparent," said Alle Meije Wink, a senior investigator in the center's radiology and nuclear medicine department. "I think very few patients at the moment will trust an outcome predicted by a machine," Wink told Live Science.