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.
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 Council of Europe is working on a future legal framework to regulate the use of artificial intelligence (AI) across all 47 member states. The Council's Ad hoc Committee on Artificial Intelligence (CAHAI) held a three-day meeting on 6-8 July attended by around 150 international experts. The purpose of the meeting was to draw up "concrete proposals on the feasibility study of a future legal framework on artificial intelligence based on human rights, democracy and the rule of law," according to the Council. Representatives from all 47 member states, including Russia, attended the online meeting alongside delegates from'observer states' (USA, Canada, Japan, Mexico, the Vatican and Israel) and AI experts drawn from civil society, academia, and business. Other international organisations such as the EU, OECD and the UN will also contribute to CAHAI's work on potential AI regulation.
What are the best robotics and artificial intelligence stocks to buy today? In this time of uncertainty characterized by volatile market movements, economic contraction, and spiraling unemployment, finding stocks to put your money into seems like an arduous task. Some investors might think that the stock market is acting irrationally and puzzled by the quick recovery of stock prices sin the end of March. Economic reality is that long-term real interest rates are negative, the Federal Reserve is flooding the market with cheap credit, and the current economic slowdown is temporary. This is the perfect environment to buy technology stocks which aren't negatively affected by the coronavirus induced lockdowns and economic slowdown.
"I personally think that no matter which approach you use, you lose," said Emily Wenger, a Ph.D. student who helped create Fawkes. "You can have these technological solutions, but it's a cat-and-mouse game. And you can have a law, but there will always be illegal actors." Ms. Wenger thinks "a two-prong approach" is needed, where individuals have technological tools and a privacy law to protect themselves. Elizabeth Joh, a law professor at the University of California, Davis, has written about tools like Fawkes as "privacy protests," where individuals want to thwart surveillance but not for criminal reasons.