IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the ... [ ] $37.5B that will be spent in 2019. Machine learning's growing adoption in business across industries reflects how effective its algorithms, frameworks and techniques are at solving complex problems quickly. Open jobs requiring TensorFlow experience is a useful way to quantify how prevalent machine learning is becoming in business today. There are 4,134 open positions in the U.S. on LinkedIn that require TensorFlow expertise and 12,172 open positions worldwide as of today. Open jobs on LinkedIn requesting machine learning expertise in the U.S. further reflect its growing dominance in all businesses.
Army researchers have developed a new approach for training machine learning models that can better withstand dirty and deceptive data. Models trained under this method have greatly surpassed other state-of-the-art models in terms of robustness, scientists said. Machines outperform humans in many data-processing tasks, but sometimes fall victim to obvious mistakes that humans can see a mile away. Scientists at the U.S. Army Combat Capabilities Development Command's Army Research Laboratory designed a new approach that makes it harder for adversaries to trick machine learning models. "We were able to reduce model complexity by about a factor of 10 without affecting other performance metrics under benign conditions," said Army scientist Dr. Ananthram Swami.
Dr David Levy, an expert on artificial intelligence (AI), said in an interview with the Daily Star that the way technology is developing nowadays, the world might soon face a serious challenge from AI-equipped robots of all types. Levy complained that governments are acting too slowly when it comes to introducing new laws and addressing the new challenge, recalling how the Dutch Ministry of Defence had ignored his warnings regarding the potentially malign use of drones and, less than a year later, simple drones were able to paralyse the work of Gatwick Airport in the UK during Christmas season. The AI expert argues that in order to draw more attention to the problem, a "Greta Thunberg of the robot world" is needed, adding that dangerous robots are likely to harm humanity sooner than climate change. Thunberg, a famous teenage environmental activist, rose to prominence globally in recent years by rallying students around the world to take part in her "strikes for climate", which are designed to draw attention to ecological problems. She also made an appearance at a UN committee devoted to the topic, delivering a passionate speech in which she accused global leaders of doing too little to address climate change.
Advances in technology for observing the earth from space have resulted in the formation of a new company which will bring a range of innovative satellite intelligence and data services to market. With offices in Bristol, UK and in Abu Dhabi, UAE, 4 Earth Intelligence has been established to focus on new sectors and technical innovations using machine learning and Artificial Intelligence to provide smart data – in particular for global environmental applications. "Over the years our technical team has been at the forefront of the development of new techniques in machine learning and Artificial Intelligence used to process data collected by satellites which are equipped with increasingly sophisticated sensors," says David Critchley, CEO, 4 Earth Intelligence. "Having witnessed an exponential increase in the demand for new solutions to address a variety of issues affecting the planet we will lead the way in the use of space and remote sensing technologies to address challenges such as climate change, pollution and population pressure." With several flagship projects already completed around the world, the company has set a new course and 4 Earth Intelligence will capitalise on this pioneering work.
We are on the lookout for the best and brightest students interested in the intersection of music/audio technology and AI. For this round of applications we are offering a number of scholarships to applicants who are ordinarily resident in the UK (i.e. have lived and studied/worked in the UK at least the last three years – this includes EU nationals) and a smaller number of scholarships to international students. We have a large number of 4-year PhD studentships available for home, EU and international students starting in September 2020 which will cover the cost of tuition fees and will provide an annual tax-free stipend (£17,009 in 2019/20). The CDT will also provide funding for conference travel, equipment, and for attending other CDT-related events. Please see the international PhD scholarships page for full details of Queen Mary's international funding partners, including other schemes not listed here.
The volume of peer-reviewed AI research papers has grown by more than 300 percent over the past three decades (Stanford AI Index 2019), and the top AI conferences in 2019 saw a deluge of paper. CVPR submissions spiked to 5,165, a 56 percent increase over 2018; ICLR received 1,591 main conference paper submissions, up 60 percent over last year; ACL reported a record-breaking 2,906 submissions, almost doubling last year's 1,544; and ICCV 2019 received 4,303 submissions, more than twice the 2017 total. As part of our year-end series, Synced spotlights 10 artificial intelligence papers that garnered extraordinary attention and accolades in 2019. Abstract: Finite-horizon lookahead policies are abundantly used in Reinforcement Learning and demonstrate impressive empirical success. Usually, the lookahead policies are implemented with specific planning methods such as Monte Carlo Tree Search (e.g. in AlphaZero).
You take a picture of a person, upload it and get to see public photos of that person along with links to where those photos appeared. By Kashmir Hill Until recently, Hoan Ton-That's greatest hit was an app that let people put Donald Trump's distinctive yellow hair on their own photos. Then Ton-That did something momentous: He invented a tool that could end your ability to walk down the street anonymously and provided it to hundreds of law enforcement agencies. His tiny company, Clearview AI, devised a groundbreaking facial recognition app. You take a picture of a person, upload it and get to see public photos of that person along with links to where those photos appeared.
If you've heard it once, you've heard it dozens of times: "Apple buys smaller technology companies from time to time, and we generally do not discuss our purpose or plans." When it comes to its corporate acquisitions, Cupertino likes to play its cards very close to its chest. Of course, that doesn't stop industry watchers from peering at the tea leaves to see if they can divine exactly what the company might be working on. And, hey, I'm no different than those folks, because Apple does so little to telegraph its plans that even a boilerplate statement confirming an acquisition is a rare peek behind the curtain. Apple CEO Tim Cook said not long ago that the company makes an acquisition every two to three weeks, and not even all of those make it into the public eye.
TORONTO – Resistive RAM is the epitome of an "emerging" memory in that, for the most part, it's still in the research and development phase. "I'd say the most progress is being in R&D," said Jim Handy, principal analyst with Objective Analysis, and co-author of the report Emerging Memories Ramp Up. There are many small companies working to commercialize it, such as Crossbar and Weebit Nano, and there's also a lot of research work being done at LETI, a technology research institute of CEA Tech based in France. The DRAM manufacturers are also dabbling in it, he said, but no one is rushing to bring out a part, although every foundry that offers MRAM also has some sort of ReRAM capability. Essentially, the major memory makers are hedging their bets.
More than a decade has passed since the British government issued an apology to the mathematician Alan Turing. The tone of pained contrition was appropriate, given Britain's grotesquely ungracious treatment of Turing, who played a decisive role in cracking the German Enigma cipher, allowing Allied intelligence to predict where U-boats would strike and thus saving tens of thousands of lives. Unapologetic about his homosexuality, Turing had made a careless admission of an affair with a man, in the course of reporting a robbery at his home in 1952, and was arrested for an "act of gross indecency" (the same charge that had led to a jail sentence for Oscar Wilde in 1895). Turing was subsequently given a choice to serve prison time or undergo a hormone treatment meant to reverse the testosterone levels that made him desire men (so the thinking went at the time). Turing opted for the latter and, two years later, ended his life by taking a bite from an apple laced with cyanide.