Chatbots are one of the key opportunities to balance the budget-cuts, handle pressure to deliver services and manage the staff shortages. According to a survey by the Local Government Information Unit (LGiU), 64% of councillors in England believe that digital transformation will have a positive impact on the wellbeing of people in their areas over the next ten years. It strongly supports the increasing influence of artificial intelligence in public sector to streamline service delivery. By 2021, over 50% of enterprises will invest more on bots and Chatbot than traditional mobile app development, suggests Gartner. There are various applications to harness the Chatbot utility.
TOKYO: Cooking robots and tastier recipes: Japanese electronics giant Sony on Nov 20 launched a new artificial intelligence unit they hope will change the way we cook and eat. The new research arm, Sony AI, will operate in Japan, Europe and the United States and also focus on the traditional areas of gaming, imaging and sensor equipment, as well as "gastronomy". The firm that produced the PlayStation franchise and the Spider-man movie series is the latest multinational tech company wanting a piece of the pie in the food business, where data are increasingly driving new dishes to pique the palate. "AI and robotics will not replace chefs. We are aiming to offer new tools to expand their creativity with AI and robotics," Sony spokesman Shinichi Tobe told AFP. "The field of food requires a study of molecular structures. By using AI and its analytical capacity, we can create new things," Tobe said.
AI is transforming the world as we know it. Contextual awareness paired with AI is opening the door to many positive solutions for healthcare, environmental protection, conservation, smart cities and public safety. Enterprise AI applications also proliferate in marketing and sales, HR and recruiting, security, autonomous operations and financial services. On the other hand, the rapid advancement of AI also raises questions and concerns around data ethics, which are only beginning to be addressed. As a case in point, the New York Police Department (NYPD) has been challenged by AI bias concerns for its new crime analysis AI tool.
Trash talk has been part of sport and human competition for as long as people have been competitive, but now robots are getting in on the game. Researchers from Carnegie Mellon University, in Pittsburgh, Pennsylvania, programmed a robot called Pepper to use mild insults such as'you are a terrible player' and'your playing has become confused'. It would then use these insults while challenging a human to a game called'Guards and Treasures' that is designed to test rationality. Even though the robot used very mild language, the human player's performance got worse while they were being insulted, according to lead author Aaron M. Roth. The team say tests like this could help work out how humans will respond in future if a robot assistant disagrees with a command, such as over whether to buy healthy or unhealthy food.
Amazon wants to see more consumers using their voices to control their TVs this holiday season. This week, it announced a new $35 product, the Fire TV Blaster, which acts as a universal remote of sorts, by enabling TVs that don't have voice access to respond to Alexa. It will be available Dec. 11. The advantages of voice versus clicking are substantial, says Amazon vice-president Sandeep Gupta, who stopped by the Los Angeles USA TODAY bureau for a Talking Tech audio interview. Voice is a more "flexible," experience and completes the task with less bother, he says.
Cirta is a new machine-learning challenge for high-energy physics on Zindi, the Africa-based data-science challenge platform. Launched this autumn at the International Conference on High Energy and Astroparticle Physics (TIC-HEAP), Constantine, Algeria, Cirta challenges participants to provide machine-learning solutions for identifying particles in LHC experiment data. Cirta* is the first particle-physics challenge to specifically target computer scientists in Africa, and puts the public TrackML challenge dataset to new use. Created by ATLAS computer scientists Sabrina Amrouche and Dalila Salamani, the Cirta challenge aims to bring new blood into the growing field of machine learning for particle physics. "Zindi has a strong community of computer scientists based on the continent, and we're looking forward to reviewing their creative solutions to the challenge," says Salamani.
"Frankly, there's a trust quotient around this," said Kelly Grier, U.S. chair of EY. She said AI has enormous potential but that companies must have "the ability to rely on and have confidence that the algorithms that are developed with artificial intelligent technology capabilities actually do what they are intended to do and they don't have implicit bias of the architect of those algorithms."
Yesterday, The Wall Street Journal accused Google of stealthily collecting sensitive patient data from millions of Americans without their consent. The New York Times soon followed with its own report, offering more detail on "Project Nightingale" and noting how it was likely to rile up privacy advocates. Forbes then published its own story, followed by another article from Business Insider, each drip-feeding more details about this initiative. When, you might ask, will it all end? The problem is not the reporting; it's that Google's own ambitions in health care have no clear limits, which is something that Project Nightingale illustrates.
Artificial intelligence technology is advancing and bringing opportunities for society but also profound challenges for individual freedom. AI is a powerful enabler of surveillance technology, such as facial recognition, and many countries are grappling with appropriate rules for use, weighing the security benefits against privacy risks. Authoritarian regimes, however, lack strong institutional mechanisms to protect individual privacy--a free and independent press, civil society, an independent judiciary--and the result is the widespread use of AI for surveillance and repression. This dynamic is most acute in China, where the Chinese government is pioneering new uses of AI to monitor and control its population. China has already begun to export this technology along with laws and norms for illiberal uses to other nations.
Beyond traditional industrial automation and advanced robots, new generations of more capable autonomous systems are appearing in environments ranging from autonomous vehicles on roads to automated check-outs in grocery stores. Much of this progress has been driven by improvements in systems and components, including mechanics, sensors and software. AI has made especially large strides in recent years, as machine-learning algorithms have become more sophisticated and made use of huge increases in computing power and of the exponential growth in data available to train them. Spectacular breakthroughs are making headlines, many involving beyond-human capabilities in computer vision, natural language processing, and complex games such as Go. These technologies are already generating value in various products and services, and companies across sectors use them in an array of processes to personalize product recommendations, find anomalies in production, identify fraudulent transactions, and more.