China, the world's biggest agricultural producer, is leading the race when it comes to empowering farmers with Artificial Intelligence (AI)-driven technologies. The aim is clear: To help the community digitally record information to cut costs and increase yields -- with just a smartphone in their hands as AI leveraged Cloud computing to make sense of the data for farmers. India has now embarked on a journey to bring AI sensors into the fields. For Anant Maheshwari, the company's India President, Microsoft has begun empowering small-holder farmers in India to increase their income through higher crop yield and greater price control. "We are working with farmers, state governments, the Ministry of Electronics and Information Technology (MeitY) and the Ministry of Agriculture and Farmers Welfare to create an ecosystem for AI into farming," Maheshwari told IANS.

They must be doing something." Amos and Danny didn't have much doubt that a lot of people would get the questions they had dreamed up wrong--because Danny and Amos had gotten them, or versions of them, wrong. If they both committed the same mental errors, or were tempted to commit them, they assumed--rightly, as it turned out--that most other people would commit them, too. The questions they had spent the year cooking up were not so much experiments as they were little dramas: Here, look, this is what the uncertain human mind actually does. Their first paper had shown that people faced with a problem that had a statistically correct answer did not think like statisticians.

Geneva: Are robots taking away human jobs? Where will the jobs of the future come from? Are our skills becoming increasingly outdated? Is the gig economy creating precarious jobs? The rapidly transforming world of work has made headlines of these social anxieties.

It is relatively well known that China has developed technology that can effectively monitor the country's citizens. Scientists working for The Chinese People's Liberation Army (PLA) have been working on CCTV cameras which have artificial intelligence embedded in them for years. The software, known as Ensemble Net, has been trained using clips from CCTV cameras to identify people and track their movements across the country. It's been tested across the country and, according to reports, it is supposedly 90 per cent accurate. The system will be able to scan body shapes and facial features, before scanning its database to see if it finds a match.

Dynamic origin-destination (OD) demand is central to transportation system modeling and analysis. The dynamic OD demand estimation problem (DODE) has been studied for decades, most of which solve the DODE problem on a typical day or several typical hours. There is a lack of methods that estimate high-resolution dynamic OD demand for a sequence of many consecutive days over several years (referred to as 24/7 OD in this research). Having multi-year 24/7 OD demand would allow a better understanding of characteristics of dynamic OD demands and their evolution/trends over the past few years, a critical input for modeling transportation system evolution and reliability. This paper presents a data-driven framework that estimates day-to-day dynamic OD using high-granular traffic counts and speed data collected over many years. The proposed framework statistically clusters daily traffic data into typical traffic patterns using t-Distributed Stochastic Neighbor Embedding (t-SNE) and k-means methods. A GPU-based stochastic projected gradient descent method is proposed to efficiently solve the multi-year 24/7 DODE problem. It is demonstrated that the new method efficiently estimates the 5-minute dynamic OD demand for every single day from 2014 to 2016 on I-5 and SR-99 in the Sacramento region. The resultant multi-year 24/7 dynamic OD demand reveals the daily, weekly, monthly, seasonal and yearly change in travel demand in a region, implying intriguing demand characteristics over the years.

In my last column, I touched on the fact that much of the government was still shutdown due to the impasse over border wall funding. Truly, I thought that it would all be resolved by now. But with no end in sight, I wanted to talk about using technology--specifically artificial intelligence and drones--to create an impenetrable defense along our borders that would be mostly invisible and yet highly effective. Much of the technology needed to support such an endeavor already exists today, and such a system might just be acceptable to both sides of the great wall debate. First off, it's important to mention that walls by themselves have never been effective at stopping humans from moving through, over, under or around them.

As the hard date for Brexit approaches, the U.K. government announced it would invest £100 million ($130 million) to attract 1,000 new Ph.D. placements at universities across the country focused on artificial intelligence development, including for the life sciences industry. During his visit to the World Economic Forum in Davos, Switzerland, the head of Her Majesty's Treasury, Chancellor of the Exchequer Philip Hammond, described the move as a way to help futureproof the U.K. economy going forward. The money is part of the country's Industrial Strategy and will fund research into technology for NHS hospitals, among other areas of the wider economy. According to the U.K. government, the country's digital sector has topped £130 billion and 2 million people, with the number of jobs growing at twice the rate of other segments. And, according to the Association for the British Pharmaceutical Industry, the U.K. serves as the third-largest life sciences R&D center, after the East and West coasts of the U.S. RELATED: Study says U.K. pipeline of advanced therapy research and products gaining strength "Today's investment will help our members get the talent they need to discover the treatments of the future," the ABPI's chief scientific officer, Carole Longson, said in a statement.

A journalist for 20 years, his articles have appeared in more than 40 publications, including The New York Times and The Financial Times of London. During the past decade, his work has focused exclusively on ecommerce. THE DARKER SIDE OF AI: HACKERS ARE ADDING ARTIFICIAL INTELLIGENCE TO THEIR TOOLKITS IT security pros in New Hampshire and across the globe are gearing up in earnest for the newest threat to corporate security: viruses, malware and similar cybersecurity attacks turbo-charged with artificial intelligence (AI). The reason: Just as AI is remaking every other part of the digital world with applications that can think for themselves and grow smarter over time, the wonder technology is also being hijacked by hackers to imbue already dangerous cyberthreats with machine intelligence and creativity. "We have to raise the bar now," says John N. Stewart, Senior Vice President and Chief Security and Trust Officer, Cisco, regarding adding AI to the cybersecurity mix.

Amazon's controversial facial recognition software, Rekognition, is facing renewed criticism. A new study from the MIT Media Lab found that Rekognition may have gender and racial biases. In particular, the software performed worse when identifying gender for females and darker-skinned females. Amazon's controversial facial recognition software, Rekognition, is facing renewed criticism. When the software was presented with a number of female faces, it incorrectly labeled 19 percent of them as male.

In the 21st century, governments cannot ignore how changes in technology will affect employment and political stability. The automation of work – principally through robotics, artificial intelligence (AI) and the Internet of things (IoT), collectively known as the Fourth Industrial Revolution – will provide an unprecedented boost to productivity and profit. It will also threaten the stability of low- and mid-skilled jobs in many developing and middle-income countries. Developing countries must begin seriously considering how technological changes will impact labour trends. Technology now looms just as large a disruptive force, if not larger, than the whims of global capital.