SoftBank Group Corp. Chairman and CEO Masayoshi Son said Thursday that Japan has become an "underdeveloped" country in the use of artificial intelligence in businesses, lagging behind China, India and Southeast Asian countries that have fast-growing technology companies. "Japan once was a leader in technology but has become an underdeveloped country in AI. It is in a pretty bad situation so Japan needs to awaken," Son told an audience at a company event in Tokyo. Among the audience were Ritesh Agarwal, CEO of Indian hotel operator Oyo Hotels & Homes, and Anthony Tan, CEO of ride-hailing company Grab Holdings Inc. of Singapore. Oyo and Grab are among over 80 AI startups in which SoftBank Group's $100 billion Vision Fund has invested.
We hear a lot about how connected devices can support smarter cities. What are you working on? "I look at how to co-ordinate connected devices using artificial intelligence, in order to make complex systems work more efficiently. In particular, I use machine learning on linked systems such as traffic lights to help keep transport and pedestrians moving in cities, and on household appliances to use electricity more sustainably." How do you apply artificial intelligence to traffic lights?
Autonomous robots could soon be ferrying deliveries alongside human messengers in your city's bike lane. Refraction AI has unveiled a 5-foot-tall delivery robot dubbed REV-1 that can zip around at speeds of up to 15 miles per hour on its three wheels. It can carry the equivalent of about four or five grocery bags in its cabin, according to the firm. The company says its lightweight, nimble design will allow it to operate in both the bike lane and the roadway, making for more efficient last-mile delivery options. 'We have created the Goldilocks of autonomous vehicles in terms of size and shape,' Matthew Johnson-Roberson, cofounder and CEO at Refraction, said in a statement when the bot launched this month at TechCrunch Mobility.
A daredevil retired pilot has been captured on camera performing loops, rolls and a dramatic dive while flying the'world's smallest' twin-jet aircraft. Bob Grimstead, 70, flew at an altitude of 5,000ft (1,524m) in the diminutive plane which has been described as a'bubble car with wings'. At just 13ft (4m) long, 4ft (1.2m) wide and weighing a mere 180lbs, Mr Grimstead, from West Sussex, was able to reach speeds of 140mph (225kmh). The former British Airways airline pilot used to fly 400 tonne jumbo jets and said he had no fear taking to the skies in the micro plane and said it was'superb fun'. Bob Grimstead, 70, (pictured) flew the diminutive jet at 5,000ft (1,524m).
Tesla Powerwalls and Solar Roof, two of Elon Musk's innovative strategies to get consumers onto the solar grid, require waits of six months or longer. The company says customers are hungry, but it doesn't have the product yet. Tesla is cutting the price of the Model 3, as it aims to make its best-selling product more affordable, and is discontinuing versions of other vehicles. Tesla said on Monday that it's reducing the price of the Model 3 by $1,000 to $38,990. The company will no longer sell the standard range versions of the Model S and Model X, raising the minimum costs consumers will have to pay for those cars.
Some Uber drivers in New York City want to see a decrease in the commission taken by the company. SAN FRANCISCO -- Gig economy workers are increasingly ubiquitous, shuttling us to appointments and delivering our food while working for Uber, Lyft, DoorDash and others. Thanks in large part to the app-based tech boom emanating from this city, 36% of U.S. workers participate in the gig economy, according to Gallup. But not all gigs are created equal, Gallup adds, noting that so-called "contingent gig workers" experience their workplace "like regular employees do, just without the benefits of a traditional job -- benefits, pay and security." California lawmakers are weighing what is considered a pro-worker bill that, if passed into law, would set a national precedent that fundamentally redefines the relationship between worker and boss by forcing corporations to pay up.
Artificial intelligence (AI) is rapidly finding applications in nearly every walk of life. Self-driving cars, social media networks, cybersecurity companies, and everything in between uses it. But a new report published by the SHERPA consortium – an EU project studying the impact of AI on ethics and human rights – finds that while human attackers have access to machine learning techniques, they currently focus most of their efforts on manipulating existing AI systems for malicious purposes instead of creating new attacks that would use machine learning. The study's primary focus is on how malicious actors can abuse AI, machine learning, and smart information systems. The researchers identify a variety of potentially malicious uses for AI that are well within reach of today's attackers, including the creation of sophisticated disinformation and social engineering campaigns.
As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge. Machine Learning in Java will provide you with the techniques and tools you need to quickly gain insight from complex data.
This AI, meanwhile, simulates day from a night picture. This is valuable, as creating self-driving cars that work and can locate themselves precisely in all conditions - day, night, fog, rain, snow and so on - requires a lot of data that covers all scenarios. Collecting large amounts of data in all conditions is practically very difficult, as certain conditions (such as snow) occur very rarely in some areas. Instead of collecting more data, scientists have come up with this night-to-day workaround. This could also lead to better night vision for the military, airplane pilots and human drivers.
No longer does artificial intelligence only exist in sci-fi movies and books about dystopian futures. It's in the here and now, continuously transforming the way in which we live and work. Many of us interact with AI on a daily basis - we call on Siri to give us directions to nearby coffee shops or ask Alexa to order us goods on Amazon. AI is also seamlessly supplementing and enhancing operations across a variety of industries and increasingly disrupting internal company functions. However, at the same time, it's also becoming more and more apparent where AI still has limitations that prevent it from fully replicating human behavior.