Government
African AI Experts Get Excluded From a Conference--Again
At the G7 meeting in Montreal last year, Justin Trudeau told WIRED he would look into why more than 100 African artificial intelligence researchers had been barred from visiting that city to attend their field's most important annual event, the Neural Information Processing Systems conference, or NeurIPS. Now the same thing has happened again. More than a dozen AI researchers from African countries have been refused visas to attend this year's NeurIPS, to be held next month in Vancouver. This means an event that shapes the course of a technology with huge economic and social importance will have little input from a major portion of the world. The conference brings together thousands of researchers from top academic institutions and companies, for hundreds of talks, workshops, and side meetings at which new ideas and theories are hashed out. Tแบนjรบmรกdรฉ รfแป njรก, a master's student from Nigeria who is studying at Saarland University in Germany, posted her rejection letter to Twitter.
Pentagon Official Warns China Exporting Killer AI Drones To Middle East
US Defense Secretary Mark Esper warned during a speech on artificial intelligence at the National Security Commission on Artificial Intelligence public conference Tuesday (Nov. "Beijing has made it abundantly clear that it intends to be the world leader in AI by 2030," Esper said. "While the US faces a mighty task in transitioning the world's most advanced military to new AI-enabled systems, China believes it can leapfrog our current technology and go straight to the next generation." Middle East countries banned from purchasing advanced US drones due to a weapons embargo are increasingly gravitating towards Chinese defense manufacturers. The drone sales are supporting China's expansion across the Middle East, which is home to many strategic US military bases, as well as, future and current routes for Beijing's Belt and Road Initiative.
GE, Siena partnering on artificial intelligence
Scientists from General Electric Co.'s Global Research Center in Niskayuna are partnering with Siena College on a new artificial intelligence program through the Department of Defense. The program is through DARPA, the Defense Department's famed research arm, officially known as the Defense Advanced Research Projects Agency that engages with commercial and educational researchers to develop next generation technologies for the military, although many are eventually adopted for commercial purposes. GE and Siena's Institute of Artificial Intelligence will work together with DARPA's Grounded Artificial Intelligence Language Acquisition program that is working on advancing artificial intelligence programs so the computer systems can "achieve childlike language acquisition and understanding from visual concepts." Artificial intelligence is also known as AI. "Today, 99.9 percent of AI is based on millions of known statistical datapoints with minimal interpretation beyond what the data says," said Peter Tu, GE Research's chief scientist for artificial intelligence, who is leading the DARPA project.
AI for Mobile Medical Diagnostics โ Current Applications Emerj
Before getting into this report, we have to inform readers that none of the companies discussed below claim to offer software that provides diagnostics, except Cognoa, which has FDA approval to call itself a diagnostic tool. We suspect this is because these companies are not legally allowed to do so. We usually don't refer to a dictionary to determine what constitutes a concept, preferring to create our own informed definitions, such as in our What is Machine Learning? The companies listed in this report seem to provide diagnostics based on that definition, but again, readers should be informed that these companies do not technically provide diagnoses for illnesses and conditions, except Cognoa. Rather, they provide information to users on their symptoms (for legal reasons).
Weaponizing Blockchain -- Vast Potential, but Projects Are Kept Secret
"Emerging technologies such as blockchain have the potential to define the war industry over the coming decades," former NATO Secretary General Rasmussen tells Cointelegraph. When Indian Defense Minister Rajnath Singh said that blockchain and artificial intelligence would "revolutionize war," as Cointelegraph reported on Nov. 4, did he take things a bit too far? Jet engines have revolutionized warfare, and so have missiles and nuclear weapons -- but shared digital ledgers? Former NATO Secretary General Anders Fogh Rasmussen, for one, told Cointelegraph that he agrees with India's minister when he was asked about blockchain's possible military uses: Digital technologies have been transforming warfare since the 1990's so emerging technologies such as blockchain have the potential to define the war industry over the coming decades. Data and data sharing will be critical for warfare in the future, particularly with the development of artificial intelligence." "Sharing data is fundamentally about transactions.
AI: Ethics and Algorithms
In October a German group published its position on ethics and AI. With the new European Commission tipped to put forward a comprehensive AI policy in the first 100 days of office, a lot of scrutiny has been given to the proposals. German consumer rights organisation, vzbv, CEO, Klaus Mรผller explained: "We expect this report โ which was drafted by experts for the German Ministries of the interior and justice/consumers โ to influence the plans of the European Commission. At the presentation of the report people already said that its findings should now become part of the EU-level debate." There are several reasons to take the report seriously.
Uber self-driving car involved in crash had no system to identify jaywalkers - Roadshow
Uber promises its new system is smarter and would identify a jaywalking pedestrian. A year and a half since the crash in Tempe, Arizona, that left a pedestrian, Elaine Herzberg, dead and Uber in the spotlight over its self-driving car program, we're still learning more about why the wreck occurred and how investigators plan to shore up autonomous vehicle safety. The latest comes from Bloomberg, which reported Tuesday on hundreds of new documents released by the National Transportation Safety Board. The safety body found Uber's self-driving car prototype did not feature any sort of system to identify pedestrians outside of a crosswalk. Translation: There's no way the Uber autonomous car could see jaywalkers.
Booming STEM careers in virtual reality, artificial intelligence, and software engineering
November 8 is National STEM Day, a day celebrating science, technology, engineering, and math. The STEM field of 20 years ago looks very different than the one of today and will look very different in even just five years. Inspired by the air shows he saw growing up, Bill Marx went into the aerospace field in the mid-90s. Now, he is the chief technology officer at Intuitive Research and Technology Corporation. "A lot of the stuff you used to use a supercomputer for 30 years ago," Marx said.
Will context fuel the next AI revolution? - Data Matters
Imagine the possibilities when AI can handle ambiguity, she says. Business and governments are turning to Artificial Intelligence (AI) to automate and improve their decision-making and uncover multiple opportunities. The problem is that AI has been effective in powerful, but narrow, contexts, on applications where it can do one thing extremely well. An increasingly promising approach for teaching AI systems to be more intelligent is by extending their power with graph technology. Because graphs help us better understand and work with complexity, as it's a technology uniquely suited to managing connections. Context is the information that frames something to give it meaning.
Understanding Artificial Intelligence, Machine Learning, and Deep Learning
Technological change is the only constant in today's business world, disrupting everything from large organizations to small start-ups. Disruption affects everyone, but will you be the disruptor or the disrupted? You must pay close attention to the Hard Trends shaping the future of your industry, your business, and the outside world to identify opportunities used to innovate and grow rapidly, additionally using those Hard Trends to solve any problems your organization and customers might have before they occur. The shared definition and understanding of the words we use is an issue in business. While several companies are on course to use artificial intelligence (AI), machine learning (ML), and deep learning (DL), others hardly understand the fundamental differences between these powerful technologies. How can one be successful, much less disruptive, when they themselves do not differentiate between AI, ML, and DL? Recently, technology company Sage conducted surveys pertaining to AI and individuals' understanding of it.