Scientists in China have developed a laser that can locate a hidden object from a mile away. Researchers hid a mannequin inside an apartment and fired a laser emitter at its location, determining the dummy's location by calculating how long it took photons to hit different parts of the room and travel back to the laser. The technology, known as non-line-of-sight (NLOS) imaging, could be utilized by the military to find enemy targets or rescue teams to find victims. It could also be beneficial in helping self-driving cars detect pedestrians and other vehicles from behind buildings. A team at the University of Science and Technology of China perfected the new technique.
The latest top reads in banking, fintech, payments, cybersecurity, AI, IoT and risk management In this weeks selection; The Pandemic The COVID-19 pandemic - one year in Banks & Credit Unions Arizona group aims to jump-start European-style open banking in U.S. Wells Fargo Ditches Abbot Downing Name for Ultra-Rich Clients Fintech Mood swing – China's government is cracking down on fintech. What to expect from the fintech industry in 2021 Payments BNP Paribas rolls out A2A instant payments for e-commerce merchants New car tipping app arrives for Sonic carhops US, UK Firms Prioritize Innovation To Speed X-Border Payment Flows Cybersecurity Fintech Cybersecurity Threats You Should Know About It may be worth paying, but online privacy comes at a price Top 10 types of information security threats for IT teams Watch Out! New Android Banking Trojan Steals From 112 Financial AppsArtificial Intelligence Top 10 predictions of how AI is going to improve cybersecurity In 2021 Top 10 Artificial Intelligence Technologies Making a Breakthrough in 2021 Deep Learning vs Machine Learning: What Your Firm Needs to Know Arizona group aims to jump-start European-style open banking in U.S. Wells Fargo Ditches Abbot Downing Name for Ultra-Rich Clients Arizona group aims to jump-start European-style open banking in U.S. Mood swing – China's government is cracking down on fintech. Mood swing – China's government is cracking down on fintech. Fintech Cybersecurity Threats You Should Know About It may be worth paying, but online privacy comes at a price Top 10 types of information security threats for IT teams Watch Out! New Android Banking Trojan Steals From 112 Financial Apps
Former Google CEO Eric Schmidt on Sunday urged lawmakers to ramp up funding for research and development in the artificial intelligence space in order to prevent China from becoming the biggest player in the global AI market–a development Schmidt warned would spark national security and privacy concerns that could ultimately constitute a national emergency. Speaking to CNN's Fareed Zakaria on Sunday, 65-year-old Schmidt said the United States may lose its lead in AI "fairly quickly" over the next decade given the Chinese government's progress on a 2017 plan to lead the global market for AI by 2030. A former Google CEO and current chair of the National Security Commission on Artificial Intelligence, Schmidt notes the U.S. is also falling behind China in additive, or 3D, manufacturing and robotics, as well as facial recognition technology and supercomputers–both of which pose risks on the national security front. "The government is not today prepared for this new technology," Schmidt said Sunday, noting that the use of AI to produce and spread harmful information poses a "threat to democracy" and could ultimately be used as a weapon of war. In order for the U.S. to be competitive, Schmidt suggests increasing the nation's budget for research and development in AI from $1.5 billion this year to $2 billion in 2022, and then doubling it each year until it hits $32 billion in 2026.
Artificial Intelligence (AI) is a beautiful piece of technology made to seamlessly augment our everyday experience. It is widely utilized in everything starting from marketing to even traffic light moderation in cities like Pittsburg. However, swords have two edges and the AI is no different. There are a fair number of upsides as well as downsides that follow such technological advancements. One way or another, the technology is moving too quickly while the education about the risks and safeguards that are in place are falling behind for the vast majority of the population. The whole situation is as much of a blessing for humankind as it is a curse.
Zhang, Daniel, Mishra, Saurabh, Brynjolfsson, Erik, Etchemendy, John, Ganguli, Deep, Grosz, Barbara, Lyons, Terah, Manyika, James, Niebles, Juan Carlos, Sellitto, Michael, Shoham, Yoav, Clark, Jack, Perrault, Raymond
Welcome to the fourth edition of the AI Index Report. This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our connections with the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI. The report aims to be the most credible and authoritative source for data and insights about AI in the world.
In just two decades, China sent people into space, built its own aircraft carrier and developed a stealth fighter jet. Now the world's youngest superpower is setting out to prove its capabilities once more -- this time in semiconductors. At stake is nothing less than the future of the world's No. 2 economy. Beijing's blueprint for chip supremacy is enshrined in a five-year economic vision, set to be unveiled during a summit of top leaders in the capital this week. It's a multi-layered strategy both pragmatic and ambitious in scope, embracing aspirations to replace pivotal U.S. suppliers -- and fend off Washington -- while molding homegrown champions in emergent technologies.
The U.S., which once had a dominant head start in artificial intelligence, now has just a few years' lead on China and risks being overtaken unless government steps in, according to a new report to Congress and the White House. Why it matters: Former Google CEO Eric Schmidt, who chaired the committee that issued the report, tells Axios that the U.S. risks dire consequences if it fails to both invest in key technologies and fully integrate AI into the military. Driving the news: The National Security Commission on Artificial Intelligence approved its 750-page report on Monday, following a 2-year effort. Schmidt chaired the 15-member commission, which also included Oracle's Safra Catz, Microsoft's Eric Horvitz and Amazon's Andy Jassy. "We don't have to go to war with China," Schmidt said.
We propose a Distributional Approach to address Controlled Text Generation from pre-trained Language Models (LMs). This view permits to define, in a single formal framework, "pointwise" and "distributional" constraints over the target LM -- to our knowledge, this is the first approach with such generality -- while minimizing KL divergence with the initial LM distribution. The optimal target distribution is then uniquely determined as an explicit EBM (Energy-Based Model) representation. From that optimal representation we then train the target controlled autoregressive LM through an adaptive distributional variant of Policy Gradient. We conduct a first set of experiments over pointwise constraints showing the advantages of our approach over a set of baselines, in terms of obtaining a controlled LM balancing constraint satisfaction with divergence from the initial LM (GPT-2). We then perform experiments over distributional constraints, a unique feature of our approach, demonstrating its potential as a remedy to the problem of Bias in Language Models. Through an ablation study we show the effectiveness of our adaptive technique for obtaining faster convergence.
For years, a group of Chinese hackers known variously as Barium, Winnti, or APT41 has carried out a unique mix of sophisticated hacking activities that has puzzled the cybersecurity researchers tracking them. At times they appear focused on the usual state-sponsored espionage, believed to be working in the service of the Chinese Ministry of State Security. At other times their attacks looked more like traditional cybercrime. Now a set of federal indictments has called out those intruders by name, and cast their activities in a new light. Five Chinese hackers are accused of a sprawling scheme to break into the networks of hundreds of global companies in a broad range of industries, as well as think tanks, universities, foreign government agencies, and the accounts of Hong Kong government officials and pro-democracy activists.
Artificial Intelligence (AI) is not the one that is borne by the overwhelming science fiction vision. In the near future, we will see almost every area of life in order to make our activities more effective and interactive. According to China's search engine, Baidu's top researcher, "Reliability of speech technology approaches the point we will only use and do not even think about." Andrew Ng says the best technology is often invisible, and speech recognition will disappear in the background as well. Baidu is currently working on more accurate speech recognition and more efficient sentence analysis, which expects sound technologies to be able to interact with multiple devices such as household appliances.