Hyundai Motor Group, South Korea's automotive giant, said Monday that it has developed an artificial intelligence (AI)-based, driver-customized autonomous driving technology. Hyundai said in a statement that it developed the Smart Cruise Control-Machine Learning (SCC-ML) technology for the first time in the world that allows a partial driverless driving customized to a driver's driving pattern. The SCC-ML adds AI technology to the SCC function that is one of the Advanced Driver Assistance System (ADAS) technologies to allow a vehicle to drive at a set speed with a certain distance from other vehicles. Under the SCC-ML, a vehicle's machine learning function collects pieces of information through cameras and sensors about a driver's driving pattern, such as the distance from other vehicles, how fast the driver gains speed, and how quickly the driver responds to changed road conditions. Hyundai said the SCC-ML can realize the Level 2.5 autonomous driving technology beyond the Level 2 technology that includes a function of lane change.

When quantum computing moves from the theoretical world into the applied space it threatens to break apart the accepted modus operandi of much of the technology industry, something Hubert Yoshida, the CTO of Hitachi Vantara is keenly aware of. Search giant Google made a surprise announcement that it had reached quantum supremacy last month, raising serious questions about how organisations can manage and secure data in the future. Nowehere is this more important than in the domain of cryptography. Where once it could take hundreds of years to crack encryption methods with traditional computing, quantum computing techniques could lower that to just seconds. "We have to keep one step ahead and find different ways of doing encryption in the face of new technologies," Yoshida, told Computerworld, speaking during the Hitachi Next conference at the MGM Grand, Las Vegas, last week.

WIRE)--CloudMinds Technology Inc. – a global pioneer in cloud artificial intelligence architecture that makes robots and businesses smarter for the benefit of all humanity – will have its revolutionary XR-1 robot interact with guests at the Sprint exhibit (South Hall #1702) at Mobile World Congress Los Angeles, Oct. 22 to 24. XR-1 is one of the first-ever humanoid robots powered by cloud artificial intelligence, commercial Sprint True Mobile 5G and proprietary vision-controlled grasping technology for service robots that also leverages human operator input for constant learning. "Overall, intelligent cloud robots paint the most vibrant picture of how 5G's ultra-low latency, exponentially faster speeds and wider reach can dramatically improve response time and enable a new world of applications," said Bill Huang, founder and CEO of CloudMinds. "With vision-controlled grasping and the ability to perform intricate tasks, the XR-1 simply raises the bar and lays the foundation for an even wider range of intelligent compliant cloud service robots from CloudMinds – from wheeled to two-legged form factors. We are proud to be ushering in a new era of helpful robots for homes and businesses, with an emphasis on the importance of human input."

BLOOMINGTON, Ind., Oct. 22, 2019 (GLOBE NEWSWIRE) -- Megaputer Intelligence, Inc. will share an innovative new tool for building training datasets for use in machine learning during a presentation at the Text Analytics Forum '19 held in Washington, DC on November 7. Dr. Sergei Ananyan, CEO of Megaputer Intelligence, Inc., will present a cutting-edge topic entitled, "NLP & Rule-Based Approach for Fact Extraction: Launchpad for Machine Learning Techniques" on Thursday, November 7 at 11:15 AM EST. The Text Analytics Forum will host the presentation at the JW Marriott in Washington, DC as part of its comprehensive programming, running from Nov 4-7. The content of the presentation is designed for people interested in discovering how to achieve higher accuracy from machine learning, relieve the burden of needing experts to manually create a gold standard training dataset, and illuminate the black box surrounding machine learning as much as possible with insight into today's latest technological advances. Professionals such as text analysts, data scientists, DBAs, information knowledge architects, knowledge organizers, taxonomists, ontologists, CIOs, CKOs, research scientists, and data quality managers will benefit greatly from this technique to overcome well-known challenges of machine learning. One fundamental obstacle for using machine learning (ML) to accurately extract facts from free-text documents is that it requires huge quantities of pre-categorized data for training a model.

Increasingly, AI is adopted by our banks and our bosses, by our cars and our courts. Across the board, implicit bias remains a significant and complex problem. Several examples have become emblematic of the ways in which implicit bias can channel AI in a prejudiced direction. The Nikon camera that kept asking whether Taiwanese American blogger Joz Wang and her family members were "blinking" while they were taking photographs, for instance, or the time when Google Photos tagged two black friends as "gorillas." Or take the example of Google search results.

Find all our Student Opinion questions here. Last week, a robotic hand successfully solved a Rubik's Cube. While that feat might seem like a fun parlor trick, it's a sign that robots are being programmed to learn and not just memorize. Robots are already playing important roles inside retail giants like Amazon and manufacturing companies like Foxconn by completing very specific, repetitive tasks. But many believe that machine learning will ultimately allow robots to master a much wider array of more complex functions.

Human augmentation conjures up visions of futuristic cyborgs, but humans have been augmenting parts of the body for hundreds of years. Glasses, hearing aids and prosthetics evolved into cochlear implants and wearables. Even laser eye surgery has become commonplace. But what if scientists could augment the brain to increase memory storage, or implant a chip to decode neural patterns? What if exoskeletons became a standard uniform for autoworkers, enabling them to lift superhuman weights?

Trained on nearly 1 million screening mammography images, researchers from New York University found their algorithm could push radiologists' ability to accurately identify breast cancer to nearly 90%. The researchers published their findings earlier this month in IEEE Transactions on Medical Imaging.

Google is taking packages into the air to customers' homes. The first drone home deliveries of packages from Walgreens have started from Wing, the Alphabet subsidiary. Wing recently received an expanded Air Carrier Certificate from the Federal Aviation Administration allowing the first commercial air delivery service by drone directly to homes in the U.S. The FAA permissions are the first allowing multiple pilots to oversee multiple unmanned aircraft making commercial deliveries to the general public simultaneously. Collaborating with Federal Express and Virginia retailer Sugar Magnolia, Wing began delivering over-the-counter medication, gifts and snacks to residents of Christiansburg, Virginia. FedEx completed the first scheduled ecommerce drone delivery on Friday, essentially beginning the connection of retailers to last-mile drone delivery services.

Our favorite'bot is back down to one of its lowest prices. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. The holidays are coming--and it's going to be stressful. While you're running around cooking Thanksgiving dinner, getting gifts, baking cookies, and attending parties, your floors might not get the attention they deserve.