Alcatel 3L may feature similar technology found in the leading smartphones, but it can be purchased for a sixth of the price. The handset, developed by TCL Communications, debuted at CES in Las Vegas with a price tag of $155 and includes an AI-powered triple rear cameras setup. The system includes a 48-megapixel sensor, a 12-megapixel and a 5-megapixel for ultra wide shots. The Alcatel 3L will be released in'select markets across Europe, Asia, Africa and the Middle East in the beginning of this year, reports CNET. Alcatel 3L may features similar technology found in the leading smartphones, but it can be purchased for a sixth of the price.

Deep in the heart of the CES expo floor, an unexpected Hollywoood actor - a face that most people would recognize - is fielding questions from the crowd. Arnold Schwarzenegger is telling jokes; he's answering questions like'what is the biggest country in the world?' and'how do you feel about humans? The star-studded Q&A session and friendly conversations aren't a paid endorsement or part of CES programming, but rather a new product by the flashy Russian robotics startup, Promobot, called'Android Robo-C.' While this isn't Promobot's first time at CES, it's the debut for Robo-C, which is being positioned as a kind of anthropomorphic office assistant that can handle customer queries and hook up to a smart home to help people interface with other gadgets.

An Israeli tech firm focused on autonomous driving systems shared an impressive new video of one of its vehicles navigating the cramped and crowded streets of Jerusalem. The Ford sedan called Autonomous Driving Test Vehicle is shown navigating an amazing array of obstacles, including'roundabouts, unprotected turns, narrow streets, close maneuvers, lots of pedestrians, and pretty much anything you can think of.' The car was developed by Mobileye, a recent Intel acquisition that develops a wide range of mobility devices and software for motor vehicles. Mobileye's impressive new Autonomous Driving Test Vehicle (pictured above), was able to navigate a wide variety of traffic complications in Jerusalem Unlike many other self-driving cars, the Mobileye vehicle doesn't use any LIDAR or RADAR sensors and instead creates a detailed three-dimensional map of its surroundings using 12 different video cameras mounted on the car body. The camera feeds are analyzed by software running on two of the company's proprietary EyeQ 5 chips, according to a report by The Verge.

Paul Matthews, freelance tech writer, writes about examples of machine learning across the the healthcare, entertainment, marketing and education industries. From front end development to the automotive sector, the applications of machine learning for business purposes is bigger than ever. Examples of machine learning in the real world include recommendation engines, object detection, natural language processing, and more. Let's analyse five interesting examples of how ML is being used to deliver better online experiences and advance healthcare and education. Companies like Universal, Sony and EMI have gone through a massive digitalization in the past 10 years, evolving from "selling a certain number of records" to "streaming that record for'n' number of times". Monetization via ads through plays on portals like Youtube, Spotify and Soundcloud is something sought after.

Facebook says it is banning "deepfake" videos, the false but realistic clips created with artificial intelligence and sophisticated tools, as it steps up efforts to fight online manipulation. But the policy leaves plenty of loopholes. The social network said late Monday that it's beefing up its policies for removing videos edited or synthesized in ways that aren't apparent to the average person, and which could dupe someone into thinking the video's subject said something he or she didn't actually say. Created by artificial intelligence or machine learning, deepfakes combine or replace content to create images that can be almost impossible to tell are not authentic. "While these videos are still rare on the internet, they present a significant challenge for our industry and society as their use increases," Facebook's vice president of global policy management, Monika Bickert, said in a blog post.

Facebook says it is banning "deepfake" videos, the false but realistic clips created with artificial intelligence and sophisticated tools, as it steps up efforts to fight online manipulation. But the policy leaves plenty of loopholes. The social network said late Monday that it's beefing up its policies for removing videos edited or synthesized in ways that aren't apparent to the average person, and which could dupe someone into thinking the video's subject said something he or she didn't actually say. Created by artificial intelligence or machine learning, deepfakes combine or replace content to create images that can be almost impossible to tell are not authentic. "While these videos are still rare on the internet, they present a significant challenge for our industry and society as their use increases," Facebook's vice president of global policy management, Monika Bickert, said in a blog post.

The use of artificial intelligence might increase the speed and the consistency of cancer diagnosis, but could also exacerbate the problem of overdiagnosis, according to a perspective article recently published in the New England Journal of Medicine by Adewole Adamson and Gilbert Welch, who suggest that this risk may be mitigated by overcoming the dichotomous classification between "cancer" and "not cancer". Supervised machine learning consists in the generation of decision-making algorithms starting from sets of images that pathologists have categorized as either "cancer" or "not cancer." "The computer system learns by judging its diagnosis against the external standard of pathological interpretation" Adewole Adamson, assistant professor of Internal Medicine at Dell Medical School at the University of Texas, explains. "Reliance on this external standard is problematic, however, since machine learning doesn't solve the central problem associated with cancer diagnosis: the lack of a histopathological gold standard." There is no single right answer to the question: "What constitutes cancer?"

Chinese startup iFlyTek boasts it has created for law enforcement AI technology that leverages voice biometrics to identify a person, writes Nikkei Asian Review. In upcoming years, iFlyTek aims to use it in fighting phone scams after rolling out the voiceprint recognition system across the country. "Because recordings are important evidence when it comes to phone scams, demand for voice recognition is growing," said Fu Zhonghua, the deputy head of iFlyTek's research center. Fu further states that the technology is aimed to be used in law enforcement and phone monitoring to identify scammers' voiceprints and hang up, but it can also be successfully implemented in finance. Government-owned China Construction Bank is already using voiceprints to verify customer identity alongside passwords.

While the default in amateur diagnostics has become a quick Google search, increasingly innovators are looking to curb potential health misinformation pitfalls. New research published last week by JAMA found that Buoy Health's free chatbot helped decrease the rate of uncertainty among patients. The study also found that patients using the platform were more likely to decrease their intended level of care after using the technology. "We're excited to have our results published -- clearing patient confusion and reducing unnecessary ER/urgent care visits have big implications as healthcare costs continue to rise," Dr. Andrew Le, CEO and cofounder of Buoy Health told MobiHealthNews in an email. "That said, we will be working on follow-on studies, always focused on proving our outcomes and safety. We believe in peer-reviewed science and will continue to pursue transparency."

Among the newly selected 2020 class of fellows of the Institute of Electrical and Electronics Engineers (IEEE) are three members of the MIT community: Hari Balakrishnan, the Fujitsu Chair Professor in the MT Department of Electrical Engineering and Computer Science, and Richard Lippmann and Daniel Rabideau, members of the technical staff at MIT Lincoln Laboratory. The IEEE, the world's largest technical professional organization, confers the rank of fellow on senior members whose work has advanced innovation in their respective fields and has furthered the IEEE mission to foster the development of technology to benefit society. Balakrishnan was elevated to fellow for his contributions to the design and application of mobile sensing systems. These contributions include advances in mobile and sensor computing, internet congestion control and routing, overlay networks and peer-to-peer systems, and data management. His current research interests are in networking, sensing, and perception for a world of mobile devices connected to cloud services running in large data centers.