Across various applications of #AI and #MachineLearning, the problem is the same: How to pull actionable intelligence from vast amounts of data. Learn how Webroot is using AI and ML to solve #cybersecurity problems critical for #MSPs. Webroot's Grayson Milbourne, Security Intelligence Director, and George Anderson, Product Marketing Director, examine the findings of a recent survey on the knowledge gap around AI and ML among IT professionals in the U.S. and Japan. Find the full survey, Knowledge Gaps: AI and Machine Learning in Cybersecurity, at https://wbrt.io/5zcur The Webroot channel features the best education and informative videos from our subject matter experts, the first to harness the cloud and artificial intelligence to protect businesses and individuals against cyber threats.

Guess who's getting used to working with robots in their everyday lives? The very same warehouse workers once predicted to be losing their jobs to mechanical replacements. According to their makers, the machines should take on the most mundane and physically strenuous tasks. "They weigh a lot," Amazon worker Amanda Taillon said during the pre-Christmas rush at a company warehouse in Connecticut. Taillon's job is to enter a cage and tame Amazon's wheeled warehouse robots for long enough to pick up a fallen toy or relieve a traffic jam. She straps on a light-up utility belt that works like a superhero's force field, commanding the nearest robots to abruptly halt and the others to slow down or adjust their routes.

GNW • Which global factors are expected to impact the artificial intelligence market for automotive and transportation industry in the future? What are the key market strategies being adopted by them? Global Artificial Intelligence Market for Automotive and Transportation Industry Forecast, 2019-2029 In terms of value, the global artificial intelligence market for automotive and transportation industry is expected to grow at a CAGR of 13.12% during the forecast period 2019-2029. The growth in the market is attributable to the ongoing demand for innovative and technologically advanced automotive solutions. Moreover, intelligent solutions which reduce the incidences of human mistakes while driving, along with providing additional features for enhancing ease-of-driving, have driven the market.

NEW YORK--Machines can do well at recognizing images and understanding language--when humans are involved with training. But for AI to reach new heights, the technology must figure out how to learn on its own, according to three AI pioneers who spoke Sunday at a technology conference. Yann LeCun, chief AI scientist at Facebook Inc., said neural networks power AI systems that can do everything from detecting tumors to pointing out malicious content on social media. For the most part, those systems undergo supervised learning,...

When my son was a toddler, he went to his pediatrician for a routine CAT scan. He'd be awake and finished in a jiffy. He lay there on the clinic table, unresponsive, his vitals slowly falling. The clinic had no ability to diagnose his condition. Five minutes later, he was in the back of an ambulance.

AI: everybody's into it, but only a few do it well. In fact, as the 2019 MIT SMR-BCG Artificial Intelligence Global Executive Study and Research Report states that nine out of ten enterprises today are invested in AI, but 70 percent have seen minimal impact so far. As mentioned, 2020 would be an active year on the AI front. As the phase of experimentation starts becoming mature, adoptions will begin in a serious way and business leaders will start assessing the value of the investments made. In 2020, the C-suite will start assessing the value of their AI bets and prove the ROI to the business.

Differentiation is the name of the game when marketing products to consumers. Differentiation's mandatory companion is performance. Both of these are driven by creative individuals who use the latest technological tools to create viable, commercial packages that will deliver desired attributes all the way to their expiration date. However, there is room for improvement. A gap exists between the "idea generators" and the "idea executors."

This is not a blog about Old MacDonald or his farm. Instead it is about Artificial Intelligence (AI) in the mortgage industry. And we will NOT allow any sarcastic, caustic or offhand remarks about the mortgage industry needing some kind of intelligence. First of all, exactly what is artificial intelligence, at least how it is described of late? One thing it is not is fake intelligence (not related to fake news … and you might like this site that helps YOU create your own fake news … but I digress, and so soon ... sorry).

Crucial early diagnosis of dementia in general practice could improve thanks to a computer model designed in a collaboration between Brighton and Sussex Medical School (BSMS) and astrophysicists at the University of Sussex. Currently, only two-thirds of people with dementia in the UK receive a formal diagnosis, and many receive it late in the disease process, meaning that a large number are missing out on the care that could help them achieve a good quality of life. The team, led by Dr Elizabeth Ford, Senior Lecturer in Primary Care Research at BSMS, used data from GP patient records to create a list of 70 indicators related to the onset of dementia and recorded in the five years before diagnosis. Working with data scientists from astrophysics, they then tried several types of machine-learning models to identify patterns of clinical information in patient records before a dementia diagnosis. The best model was able to identify 70% of dementia cases before the GP, but also threw up a number of false positives.

"Subjecting 5-year-olds to this technology will not make anyone safer, and we can't allow invasive surveillance to become the norm in our public spaces," said Stefanie Coyle, deputy director of the Education Policy Center for the New York Civil Liberties Union. "Reminding people of their greatest fears is a disappointing tactic, meant to distract from the fact that this product is discriminatory, unethical and not secure." The debate in Lockport has unfolded over nearly two years. The school district initially announced its plans to install a facial recognition security system, called Aegis, in March 2018. The district spent $1.4 million, with money it had been awarded by the state, to install the technology across 300 cameras.