The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.
"The system could potentially be an aid for doctors in the ICU, which is a high-stress, high-demand environment," says PhD student Harini Suresh, lead author on the paper about ICU Intervene. "The goal is to leverage data from medical records to improve health care and predict actionable interventions." Another team developed an approach called "EHR Model Transfer" that can facilitate the application of predictive models on an electronic health record (EHR) system, despite being trained on data from a different EHR system. "Much of the previous work in clinical decision-making has focused on outcomes such as mortality (likelihood of death), while this work predicts actionable treatments," Suresh says.
Our Techie Tuesdays protagonist of the week, Anima has worked towards establishing a strong collaboration between academia and industry. Anima worked on solving this problem of tracking end to end service level transactions. She wanted to design learning algorithms that can process at scale and make efficient inferences about the underlying hidden information. When Anima joined UC Irvine as a faculty, that time was the beginning of the big data revolution.
In a new paper, they present a system called "Interactive Robogami" that lets you design a robot in minutes, and then 3-D print and assemble it in as little as four hours. Despite these developments, current design tools still have space and motion limitations, and there's a steep learning curve to understanding the various nuances. "3-D printing lets you print complex, rigid structures, while 2-D fabrication gives you lightweight but strong structures that can be produced quickly," Sung says. "By 3-D printing 2-D patterns, we can leverage these advantages to develop strong, complex designs with lightweight materials."
Chinese AI professor Yang Qiang has been elected to the role of chairman of the International Joint Conference on Artificial Intelligence (IJCAI), one of the world's top academic gatherings in the AI field. Born in 1964, Professor Yang is the vice chairman of the Chinese Association for Artificial Intelligence (CAAI), an Association for the Advancement of Artificial Intelligence (AAAI) fellow and dean of the Computer Science and Engineering Department at the Hong Kong University of Science and Technology. He will mainly be in charge of holding the annual conference, coordinating with AI associations in different countries and managing the AI Journal magazine, Sohu reported. A highly selective event, each IJCAI conference presents three awards to outstanding scientists for their contributions in the artificial intelligence field, as well as certain awards recognising the highest-quality papers.
A team of researchers has developed a mechanism that uses machine-learning algorithms to distinguish between genuine and counterfeit versions of the same product. "The underlying principle of our system stems from the idea that microscopic characteristics in a genuine product or a class of products -- corresponding to the same larger product line -- exhibit inherent similarities that can be used to distinguish these products from their corresponding counterfeit versions," says Subramanian, a professor at NYU's Courant Institute of Mathematical Sciences. Counterfeit goods represent a massive worldwide problem with nearly every high-valued physical object or product directly affected by this issue, the researchers note. The Entrupy method, by contrast, provides a non-intrusive solution to easily distinguish authentic versions of the product produced by the original manufacturer and fake versions of the product produced by counterfeiters.
Scientists and business leaders, including Professor Walsh, called for the use of lethal autonomous weapons, or'killer robots', to be outlawed. At the International Joint Conference on Artificial Intelligence in Melbourne on Monday, technology leaders congregated at the event and requested that the development of weaponry using artificial intelligence be halted as "once this Pandora's box is opened, it will be hard to close." As part of this open letter to the UN, the scientists and business leaders, including world-renowned AI expert Toby Walsh, Elon Musk of Tesla, and James Chow of China's UBTECH, called for the use of lethal autonomous weapons, or killer robots, to be outlawed much in the same way as chemical and biological weapons on the battlefield. There's an arms race happening today, you can see the US military, the UK military, the Russian military - it's a bit of an arms race," Walsh said.
The theme of this Year's conference is Autonomy and AI and is intended to encourage debate and analysis of the limits and safeguards that must be established when giving AI systems more autonomy. Such limits and safe- guards must be established for AI systems to progress in way that supports a just and prosperous society. A key organiser of the letter, Toby Walsh, Scientia Professor of Artificial Intelligence at the University of NSW in Sydney, will release it at a gathering of world leading artificial intelligence (AI) experts in Melbourne on Monday. CEOs from the rapidly advancing robotics and automation industry including Tesla and SpaceX boss Elon Musk have joined a University of NSW professor in calling on the UN to ban artificial intelligence-driven'killer robot' autonomous weapons, before it is too late.
Over a hundred experts in robotics and artificial intelligence are calling on the UN to ban the development and use of killer robots and add them to a list of'morally wrong' weapons including blinding lasers and chemical weapons. Google's Mustafa Suleyman and Tesla's Elon Musk are among the most prominent names on a list of 116 tech experts who have signed an open letter asking the UN to ban autonomous weapons in a bid to prevent an arms race. So far, 19 out of 123 member states have called for an outright ban on lethal autonomous weapons. The letter says: "Lethal autonomous weapons threaten to become the third revolution in warfare.
Humanoid robots have come eerily close to overcoming the uncanny valley. But Sophia, an ultra-realistic humanoid created by Hanson Robotics, isn't concerned. She helps visitors and collects data for future studies about the interactions between human androids and their real-life counterparts. She was created by Hanson Robotics and represents the latest and greatest effort to overcome the uncanny valley.