OSAKA - When times are good, there is less political pressure at the local level anywhere to be economically efficient or carefully scrutinize predictions that a new public works project or expensive industrial or tourism promotion scheme will lead to prosperity in 20 or 30 years. But with their rapidly aging and declining populations and shrinking tax bases, local governments now face a daunting task in formulating political, economic, social and environmental policies that will most likely benefit the greatest number of people decades from now. In contrast to the carefree public works spending of the bubble economy of three decades ago, often based on proposals that seemed little thought out, the demand for data-driven, evidence-based projections for various policy measures among local governments has grown, lest a wrong decision lead to local economic disaster, and voter anger. Earlier this year, Nagano Prefecture announced it would rely more on computer modeling and scenarios for local policy decisions. The decision came after the prefecture cooperated with Kyoto University's Kokoro Research Center, Hitachi Ltd. and Mitsubishi UFJ Research and Consulting to create two different models using artificial intelligence. Those were put to use in research on the best policy to realize a sustainable society and how to best take advantage of the opportunities, especially related to local tourism, that might come from the planned opening of a maglev shinkansen station in the prefecture as early as 2027.

Today, Zensors, a Carnegie Mellon spinout and maker of cloud-based visual sensing technology is announcing the release of its latest deep learning technology, Car Pose Net. Previously, tracking rigid, three dimensional objects (like cars) using only single-view cameras was problematic. Car Pose Net fits 3D pose wireframes to cars, improving tracking results, especially in difficult conditions like snow or partial visual obstructions. This unlocks incredible potential for existing city and autonomous vehicle camera systems. Because the technology can be deployed using legacy camera hardware and Zensors edge or cloud compute platforms, more advanced, accurate, and real time traffic data can be unlocked.

Does your LinkedIn feed often flood with news on AI or Artificial Intelligence? I see innumerable AI news on LinkedIn. Same is true for the Twitter feed but not for Facebook which contains mostly friendly feeds. In fact AI is omnipresent in almost every tech media news and professional networks. What is the reason behind it?

Does your LinkedIn feed often flood with news on AI or Artificial Intelligence? I see innumerable AI news on LinkedIn. Same is true for the Twitter feed but not for Facebook which contains mostly friendly feeds. In fact AI is omnipresent in almost every tech media news and professional networks. What is the reason behind it?

Interested in the future and want to experience even more?! eXplore More. Elon Musk's Neuralink, the secretive commercial company developing Brain Machine Interfaces (BMI) that one day they hope will connect human minds directly with AI's and machines, this week took the wrapper off the technology they've been developing. The company's goal, says Musk, is to eventually begin implanting devices in paralysed people so that they can control computers and smartphones with nothing more than their thoughts. And even though Musk gets a lot of the limelight in this area recently the US Military flexed their muscles and showed off their own version of Musk's technology that allowed paralysed volunteers to control fleets of F-35 fighter jets with just their thoughts, and elsewhere Mark Zuckerberg and his team are busy designing non-invasive BMI as part of his attempt to turn Facebook into the "world's first telepathic network." The first big advance Musk showed off was Neuralink's flexible bio-compatible "Threads," which are less likely to damage the brain than the materials used in many of today's traditional invasive BMI's.

The second annual CyFyAfrica 2019 -- the Conference on Technology, Innovation, and Society -- took place in Tangier, Morocco, in June. It was a vibrant, diverse and dynamic gathering attended by various policymakers, UN delegates, ministers, governments, diplomats, media, tech company representatives, and academics from over 65 nations, mostly African and Asian countries. The conference's central aim, stated unapologetically, was to bring forth the continent's voices in the global discourse. The president of Observer Research Foundation (one of the co-hosts of the conference) in their opening message emphasized that the voices of Africa's youth need to be put front and center as the continent increasingly comes to rely on technology to address its social, educational, health, economic, and financial issues. The conference was intended in part to provide a platform for those young people, and they were afforded that opportunity, along with many Western scholars from various universities and tech developers from industrial and commercial sectors.

There are those who praise the technology as the solution to some of humankind's gravest problems, and those who demonize AI as the world's greatest existential threat. Of course, these are two ends of the spectrum, and AI, surely, presents exciting opportunities for the future, as well as challenging problems to be overcome. One of the issues that's attracted much media attention in recent years has been the prospect of bias in AI. It's a topic I wrote about in TechCrunch (Tyrant in the Code) more than two years ago. The debate is raging on. At the time, Google had come under fire when research showed that when a user searched online for "hands," the image results were almost all white; but when searching for "black hands," the images were far more derogatory depictions, including a white hand reaching out to offer help to a black one, or black hands working in the earth.

Artificial Intelligence In E-Learning Market Report is a new addition to QYReports warehouse. This statistical study reports existing scenario of the market to closely examine the different stages of the businesses. It highlights the past records of profit margin and also predicts future growth. This informative study is expected to guide the new entrants as well as existing key players in the global sector. Artificial Intelligence in E-Learning market has ascended as one of the primary AI application verticals owing to the limitless potential in innovations and ability to accelerate the learning process. Growing reputation of AI applications has created a platform for facilitating the knowledge acquisition and decision-making systems that support the educational institutions in effecting student development.

Luciano Floridi has never been kind with technology. In '95, when the web as we know it today did not exist and he was a PhD Philosophy student, he wrote things such as: «No one controls the system globally, and the very structure of the internet ensures that will ever be able to control it in the future». Or: «the Internet promotes the growth of knowledge while creating forms of unprecedented ignorance». He directs the Digital Ethics Lab at the University of Oxford, he is the president of the Data Ethics Group of the Alan Turing Institute. And he serves as advisor to big tech, governments and the European Union.

Best listening experience is on Chrome, Firefox or Safari. Agencies have gotten buy-in from their employees when it comes to automating rote tasks liked data entry. But it's a tougher sell to those employees -- and the public -- to trust artificial intelligence tools for data-driven decision-making. Some agencies, including the General Services Administration, IRS and Defense Logistics Agency expect to save tens of thousands of work hours through robotic process automation-powered bots for back-office functions. There's also room for automation grow, according to research from the Partnership for Public Service and IBM's Center for the Business of Government.