We are rapidly approaching an era of gigantic jobloss. AI will replace many jobs as it gets cheaper. Robots will be doing jobs because every manufacturer can get them. This process is unavoidable because the global market is at the same time funded by a small number of wealthy people, who buy stuff from companies that compete agains many others, who are incentiviced to eliminate human assistence in the production process. The empoverishing effect of automatic production is already ongoing.

When it comes to health and wellness, most people have a similar goal: we want to live a healthier, longer, and happier life. Thanks to antibiotics, vaccines, medical imaging, and other technological breakthroughs, we've already made major strides. So it's perhaps no surprise that all eyes are now on the transformative innovation of this century: AI. The promise of AI to solve our health and wellness woes almost seems inevitable. From DeepMind's algorithms that match or outwit radiologists in breast cancer or eye disease diagnosis to Fitbits, Apple Watches, or smart pregnancy waistbands that track your health stats, the answer seems clear: more high-quality data will empower us to take control of our own health and happiness.

When it comes to health and wellness, most people have a similar goal: we want to live a healthier, longer, and happier life. Thanks to antibiotics, vaccines, medical imaging, and other technological breakthroughs, we've already made major strides. So it's perhaps no surprise that all eyes are now on the transformative innovation of this century: AI. The promise of AI to solve our health and wellness woes almost seems inevitable. From DeepMind's algorithms that match or outwit radiologists in breast cancer or eye disease diagnosis to Fitbits, Apple Watches, or smart pregnancy waistbands that track your health stats, the answer seems clear: more high-quality data will empower us to take control of our own health and happiness.

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.

A robot escaped from a science lab and caused a traffic jam in one Russian city, it's reported. Scientists at the Promobot laboratories in Perm had been teaching the machine how to move around independently, but it broke free after an engineer forgot to shut a gate, says the local edition of the Argumenty i Fakty newspaper. The robot found its way to a nearby street, covering a distance of about 50m (164ft), before its battery ran out, the daily says. An eyewitness video posted online shows a vaguely humanoid machine standing in the middle of a busy road, guarded by a traffic policeman. It is then wheeled off by a human, presumably an engineer from the company that developed the robot. Russian Channel 5 TV also showed footage of the incident, and said that the robot spent about 40 minutes at large.