Toshiba will spend around 34 billion yen ($321 million) on a new research and development complex in Japan geared toward artificial intelligence and security technologies. A portion of an existing R&D center in Kawasaki, near Tokyo, will be rebuilt for the first time in its six-decade history. The new complex will consist of two buildings, including a 12-story tower, and accommodate about 3,000 people -- more than double the current size and capacity. The planned complex will bring together personnel involved in AI and quantum cryptography, ranging from basic research to business application. Construction will begin in January 2022, with the opening slated for April 2023.
How can teams protect players and staff? A drone flew over Target Field prior to the start of a Minnesota Twins and Pittsburgh Pirates game on Tuesday, which forced a delay. According to The Athletic, players were trying to throw baseballs at the drone, but they were unable to hit it. Eventually, it flew out of the stadium, and around one of the parking lots. The umpires made the players get off the field because the drone presents a safety issue.
The concept of frugal innovation originated in emerging markets, where social entrepreneurs and enthusiastic designers perfected the idea of creating low-cost, highly user-friendly devices that also fulfil a social need. A clay fridge that uses no electricity but keeps food cool, mobile money services for people without bank accounts like M-PESA, and a billboard that collects water from humid air in a rain-scarce area of Peru are all cited as examples of frugal innovation in developing markets. But increasingly the idea is being used more broadly. The recent COVID-19 outbreak has shown just how far frugal innovation can take off in developed markets: companies, healthcare organisations and entrepreneurs were faced with a real problem to tackle in a short amount of time with unexpectedly limited resources. That resulted in innovations like PPE that could be 3D printed at home or made from scuba masks, ventilators hacked with readily available equipment to double their capacity, and companies sharing the designs for their kit to allow other organisations to manufacture it themselves.
Ultra-low-power AI accelerator startup Syntiant has raised another $35 million in a series C round of funding to bring the total raised by the company to $65 million. Syntiant, whose 66 staff work out of Irvine, Calif., also announced that it has hit a shipping milestone with 1 million parts in the hands of customers. Third round Syntiant's C round was led by Microsoft's VC fund, M12, and Applied Ventures, the VC arm of Applied Materials. "[$35m] gets us pretty far into growing our sales team and ramping our revenue," Syntiant CEO Kurt Busch told EE Times. "We have the second-generation chip already back in the lab, which we expect to announce before the end of the year… this funding will also be used to fund development of third generation silicon and build out our customer base."
CAMBRIDGE – COVID-19 has become a severe stress test for countries around the world. From supply-chain management and health-care capacity to regulatory reform and economic stimulus, the pandemic has mercilessly punished governments that did not – or could not – adapt quickly. From Latin America's lost decade in the 1980s to the more recent Greek crisis, there are plenty of painful reminders of what happens when countries cannot service their debts. A global debt crisis today would likely push millions of people into unemployment and fuel instability and violence around the world. The virus has also pulled back the curtain on one of this century's most important contests: the rivalry between the United States and China for supremacy in artificial intelligence (AI).
Ubiquitous facial recognition is a serious threat to privacy. The idea that the photos we share are being collected by companies to train algorithms that are sold commercially is worrying. Anyone can buy these tools, snap a photo of a stranger, and find out who they are in seconds. But researchers have come up with a clever way to help combat this problem. The solution is a tool named Fawkes, and was created by scientists at the University of Chicago's Sand Lab.
The world needs robots that make life better, not just ones that put people out of work. But business attitudes, government policy, and scientific priorities are geared toward replacing workers rather than complementing and enhancing their skills. That's the bottom line of a report by a task force at MIT that was released today. "It's super easy to make a business case for reducing head count. You can always light up a boardroom" by promising to replace people with robots, says David Autor, an MIT economist and co-chair of the task force, who gave an interview about the report.
Today, Buolamwini is galvanizing a growing movement to expose the social consequences of artificial intelligence. Through her nearly four-year-old nonprofit, the Algorithmic Justice League (AJL), she has testified before lawmakers at the federal, state, and local levels about the dangers of using facial recognition technologies with no oversight of how they're created or deployed. Since George Floyd's death, she has called for a complete halt to police use of face surveillance, and is providing activists with resources and tools to demand regulation. Many companies, such as Clearview AI, are still selling facial analysis to police and government agencies. And many police departments are using facial recognition technologies to identify, in the words of the New York Police Department, individuals that have committed, are committing, or are about to commit crimes.
With AI often thrown around as a buzzword in business circles, people often forget that machine learning is a means to an end, rather than an end in itself. For most companies, building an AI is not your true goal. Instead, AI implementation can provide you with the tools to meet your goals, be it better customer service through an intuitive chatbot or streamlining video production through synthetic voiceovers. To help shed light on some real-world applications of machine learning, this article introduces five innovative AI software that you should keep on eye on throughout 2020. Scanta is an AI startup with a very interesting history.
The fund is aimed at pushing on projects that will help local areas recover from the impact of Covid-19. Goonhilly is working with the University of Oxford, University of Manchester, University of Leeds and University of Hertfordshire on the institute. It will include space for companies to come and use the facilities at Goonhilly and work with the team on ideas. The idea is that the mathematics involved in a number of fields, including radio astronomy, artificial intelligence and machine learning, are closely connected and so the team is using members' skills in each area to apply algorithms developed in one field to solve problems in another. Meanwhile the Receiver Factory is an advanced manufacturing facility that can be used to develop Goonhilly's own equipment, to make sure its services are at the leading edge of technology, and also to build products to print for third parties.