The worst part of working in any restaurant could soon be eliminated after a robot capable of washing the pots has been invented by a US-based start-up. Although there are more than half a million people employed as dishwashers in the US alone, the job is poorly paid, gruelling work and has a high-turnover rate. But now Dishcraft, based in Silicon Valley, is hoping to tackle these issues with their automated dishwasher, reports CNBC. The system currently works by using bowls and plates that have metal pieces attached to them, but the founders, Linda Pouliot and Paul Birkmeyer, hope to move on to other items in the future. Dishcraft's robot currently only works with plates and bowls the company develop themselves as it has metal pieces attached to the bottom and are much stronger than other dishware.
Despite the widespread use of convolutional neural networks (CNN), the convolution operations used in standard CNNs have some limitations. To overcome these limitations, Researchers from NVIDIA and University of Massachusetts Amherst, developed a new type of convolutional operations that can dynamically adapt to input images to generate filters specific to the content. The researchers will present their work at the annual Computer Vision and Pattern Recognition (CVPR) conference in Long Beach, California this week. "Convolutions are the fundamental building blocks of CNNs," the researchers wrote in the research paper, "the fact that their weights are spatially shared is one of the main reasons for their widespread use, but it is also a major limitation, as it makes convolutions content-agnostic". To help improve the efficiency of CNNs, the team proposed a generalization of convolutional operation, Pixel-Adaptive Convolution (PAC), to mitigate the limitation.
The University of Oxford has said it is to receive its biggest single direct donation "since the Renaissance", after it unveiled a £150m gift from the US billionaire Stephen Schwarzman to fund humanities research and tackle looming social issues linked to artificial intelligence. The money will be used to create the Schwarzman Centre for the Humanities, bringing together disciplines including English, philosophy, music and history in a single hub with performing spaces and a library, alongside a new Institute for Ethics in AI to collaborate. Unlike previous mega-donors, Schwarzman, the founder and chief executive of the Blackstone financial group, is not a former student. He says he was attracted to make the donation after being approached by Louise Richardson, Oxford's vice-chancellor, and by his memories of visiting as a teenager in 1963. "I visited Oxford as a 15-year-old on what we used to call'teen tours' in the US, where you travelled around Europe and hopefully became more civilised. I vividly remember going to Oxford because I'd never seen anything like it," Schwarzman said.
If you've ever used Skype or shared files on Kazaa back in the early '00s, you've encountered the work of Jaan Tallinn. And if humans wind up creating machines that surpass our own intelligence, and we live to tell about it -- we might have Tallinn's philanthropy, in small part, to thank. Tallinn, whose innovations earned him tens of millions of dollars, was one of the first donors to take seriously arguments that advanced artificial intelligence poses a threat to human existence. He has come to believe we might be entering the first era in human history where we are not the dominant force on the planet, and that as we hand off our future to advanced AI, we should be damned sure its morality is aligned with our own. He has donated more than $600,000 to the Machine Intelligence Research Institute, a prominent organization working on "AI alignment" (that is, aligning the interests of an AI with the interests of human society) and more than $310,000 to the Future of Humanity Institute at Oxford, which works on similar subjects.
NASA'S Planetary Defense Coordination Office uses the Catalina Sky Survey facility in Tucson, Arizona, to catalog space objects Even in this age of high-speed data analysis, a keen human eye normally can't be beaten when poring over images of potential asteroidal impactors. But Artificial Intelligence (A.I.) could soon change all that. The El Segundo, Calif.-based Aerospace Corporation is now testing A.I. software designed to help astronomers speed up the process of identifying and tracking threatening Near-Earth Objects (NEOs). NASA's Planetary Defense Coordination Office already uses numerous telescopes to find and monitor NEOs that might have the potential to impact Earth. But the non-profit Aerospace Corporation's A.I. team is working with NASA on implementing software dubbed NEO AID (Near-Earth Object Artificial Intelligence Detection) to differentiate false positives from asteroids and comets that might be real threats.
Workers makes shoes at a factory in Jinjiang, in southeast China's Fujian province. Nearly all shoes sold in the U.S. are foreign-made. China's share has declined, but it's still a major source. Workers makes shoes at a factory in Jinjiang, in southeast China's Fujian province. Nearly all shoes sold in the U.S. are foreign-made.
After the recent New York helicopter crash, many are starting to question the safety of choppers. With Uber Air debuting its helicopter ride-sharing service next month, are helicopters a safe mode for transportation? As Uber forges ahead with plans for a flying taxi service in 2023, other startups are unveiling futuristic air mobility vehicles, suggesting that a Jetsons-like transportation system may be closer than you think. Massachusetts-based Alaka'i Technologies showed an electric human-carrying drone last month that it claims can carry five passengers, and the American-Israeli startup NFT --short for Next Future Transportation -- hopes its new folding-wing vehicle will halve travel times by both driving on the street and flying through the air during commutes. This comes as Uber sets its sights on phase one of Uber Air, releasing a fleet of Uber Copters in NYC over the summer.
Machine learning, a branch of artificial intelligence, has become more accurate than human medical professionals in predicting incidence of heart attack or death in patients at risk of coronary artery disease. Machine learning, a branch of artificial intelligence, was more accurate than human medical professionals in predicting myocardial infarction (MI) or death among patients suspected of having coronary artery disease (CAD), according to an abstract presented at the 2019 International Conference on Nuclear Cardiology and Cardiac CT, held May 12-14 in Lisbon, Portugal. Physicians routinely make treatment decisions using risk scores, which are based on few variables and are typically only moderately accurate for individual patients. Machine learning can use repetition and adjustment to exploit large quantities of data and identify complex patterns that may go unnoticed by humans. "Humans have a very hard time thinking further than three dimensions (a cube) or four dimensions (a cube through time)," said the study's lead researcher, Luis Eduardo Juarez-Orozco, MD, PhD, in a statement.
Mind Foundry, a technology spin-out from the University of Oxford's Machine Learning Research Group (MLRG), today announced the commercial launch of a revolutionary humanised machine learning platform. For the first time the new cloud-based platform allows anyone, of any technical ability and in any size of organisation, to swiftly unlock the full value of ever increasing volumes of data to make decisions on complex business issues without the need for data scientists. The platform was developed through work with some of the world's largest investment firms, telecommunications providers, manufacturers and heavy industry companies. Organisations can proactively solve business problems by easily leveraging the predictive power of their existing data. The platform automatically builds appropriate machine learning solutions for business problems in minutes or hours, rather than weeks or months, and provides full transparency and auditability of solutions.
In recent years, art-creating AI has pushed the boundaries of how we define art. AI Expo Africa, the largest business focused AI event in Africa, have launched a grand challenge to create an original piece of artwork or music that leverages AI. There will be one winner for each category (visual art & music) and winners must be citizens of an African country and must be living in Africa. Awards will be presented to the winner at the exclusive AI Expo Africa VIP event on the opening night of AI Expo Africa in Cape Town, South Africa, on 3 September 2019 – with the winning music track(s) being played during the event and art work on display. Both works will be auctioned during an exclusive event on 4 September.