An artificial intelligence algorithm can learn the laws of quantum mechanics

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Artificial intelligence can be used to predict molecular wave functions and the electronic properties of molecules. This innovative AI method developed by a team of researchers at the University of Warwick, the Technical University of Berlin and the University of Luxembourg, could be used to speed-up the design of drug molecules or new materials. Artificial intelligence and machine learning algorithms are routinely used to predict our purchasing behavior and to recognize our faces or handwriting. In scientific research, Artificial Intelligence is establishing itself as a crucial tool for scientific discovery. In chemistry, AI has become instrumental in predicting the outcomes of experiments or simulations of quantum systems.


MIT researchers teach autonomous cars how to deal with selfish drivers

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New research from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) examines the problem of how a self-driving car can predict the behavior of other drivers on the road. This prediction requires a degree of social awareness which is difficult for machines, so the researchers took tools from social psychology to help the system classify driving behaviors into either selfish and selfless. The system observed human driving behaviors and was then able to better predict the movements of other cars when it came to merging lanes or making unprotected left turns, with 25 percent greater accuracy than previously. This kind of insight into human behavior is important for safety when autonomous and human drivers are sharing the road. An Uber self-driving car which struck and killed a pedestrian last year, for example, didn't have the ability to recognize jaywalkers.


AI Meets Pro AV

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Data-driven AV is nothing new. For the past five years, AV endpoints have been migrating to the network with the promise of capturing room metrics and system analytics. The cloud, 5G's lightning-fast connectivity, IoT sensors, and artificial intelligence (AI) are converging to capture more valuable data in more locations. Some AV professionals believe this confluence will usher in a new era of design, one in which systems are built with learned user behaviors in mind. AI is already making an impact in higher education.


Why traditional Agile/Devops models aren't good enough for AI production?

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The need for convergence of people, process and technology in modern business has ignited the evolution of newer engineering methodologies. Artificial Intelligence (AI) is no exception. It demands even greater interaction of human and non-human resources in the production processes. AI solutions are built on the basis of an algorithm, data and the continuous learning process. Constantly growing data has enriched the quality of the knowledge and increased computing power has extended machine learning into deep learning; together, our collective ability to quickly evolve an AI solution has improved.


4 Ways to Address Gender Bias in AI

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Any examination of bias in AI needs to recognize the fact that these biases mainly stem from humans' inherent biases. The models and systems we create and train are a reflection of ourselves. So it's no surprise to find that AI is learning gender bias from humans. For instance, natural language processing (NLP), a critical ingredient of common AI systems like Amazon's Alexa and Apple's Siri, among others, has been found to show gender biases – and this is not a standalone incident. There have been several high profile cases of gender bias, including computer vision systems for gender recognition that reported higher error rates for recognizing women, specifically those with darker skin tones.


Blog - 09_16_19 - The JAIC Is Supporting National Guard Efforts to Combat Destructive Wildfires - JAIC

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"November 8th is National STEM day and we honor the dedication, creativity, and passion of JAIC's science, technology, engineering, and math (STEM) professionals who drive our AI capability delivery forward." The Department of Defense stands at a rare moment of historical significance. Just as in 1957 when the world was caught off-guard as we watched Sputnik launch into space, our nation must again align our STEM capabilities to our national defense needs. We have entered a time when AI technologies will transform not only society, but the very character of warfare. Our country's leadership role is dependent on our next-generation STEM expertise.


Data Mapping Using Machine Learning - KDnuggets

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From small to large businesses, just about every company is fighting for a chance to get their audience's attention. Regular marketing campaigns performed 20 years ago just don't cut it anymore. To get ahead of the curve and beat out your competitors, you often have to market directly to the source, especially if you cater to the millennial generation. Collecting data is one way many businesses learn how to target their audience. To market directly to your potential buyer, you need to know what they're interested in, what they need, where they are and where they're most likely to respond to your advertisements.


wei-tim/YOWO

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Code will be uploaded soon! YOWO is a single-stage framework, the input is a clip consisting of several successive frames in a video, while the output predicts bounding box positions as well as corresponding class labels in current frame. Afterwards, with specific strategy, these detections can be linked together to generate Action Tubes in the whole video. Since we do not separate human detection and action classification procedures, the whole network can be optimized by a joint loss in an end-to-end framework. We have carried out a series of comparative evaluations on two challenging representative datasets UCF101-24 and J-HMDB-21.


White-Collar Workers May Be Most Impacted By AI, Says Brookings Report

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As far as the ongoing debate over who is going to be most impacted by the AI trend -- blue-collar or white-collar workers -- the answer, as it turns out, is white collar, says new research from the Brookings Institution. "Better-paid, white-collar or office occupations may be most exposed to AI," Brookings said in summarizing the major findings of a report set to be published today (Nov.


Sony Launches AI Unit to Revolutionise the Way We Cook Talk IoT

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Japanese electronics giant Sony today announced the establishment of Sony AI to "unleash human imagination and creativity with AI. This new organization, with offices globally in Japan, Europe, and the United States, will advance fundamental research and development of AI (artificial intelligence). Sony AI will drive the research and development of AI in both physical and virtual space through multiple world-class flagship projects as well as other explorative research projects, including AI ethics. Initially, Sony AI will launch three flagship projects in the areas of gaming, imaging & sensing, and gastronomy. But the Japanese electronics giant wants to play a bigger role in the food industry. "AI and robotics will not replace chefs.