Ask a robot to pick up an egg or a bowling ball, and it may not know how to adjust its grip to account for the different weights. A new smart glove allows a neural network to learn the shape and weight of an object just with sensors embedded into a glove, which could be put to use with robots in factories or homes, and can even teach us about our own human grip. "There's been a lot of hope that we'll be able to understand the human grasp someday and this will unlock our potential to create this dexterity in robots," says Subramanian Sundaram at the Massachusetts Institute of Technology. "Right now, it's hard to imagine a robot loading a dishwasher, but this kind of technology could transform things like that." He and his team attached force-sensitive film to the palms and fingers of a knitted glove and stitched a network of 64 conductive silver threads into it.

Iranian soldiers carry part of a target drone used in air-defense exercises. Iran is also turning some target drones into low-tech weapons for its proxies. Iranian soldiers carry part of a target drone used in air-defense exercises. Iran is also turning some target drones into low-tech weapons for its proxies. In January, a group of high-level military commanders gathered at an air base in Yemen.

After a year and a half of development, the Department of Health and Human Services is ready to move its Buy Smarter Initiative into the production phase. Renamed "Reimagined -- Buy Smarter," it uses artificial intelligence to analyze large amounts of data to help with price comparisons and other money saving ideas. "Buy Smarter is an innovative opportunity for HHS to look at our category management, break down some stove pipes, and consolidate our requirements across the department," Lori Ruderman, senior advisor and co-lead for Buy Smarter, said on Federal Monthly Insights -- Artificial Intelligence/Machine Learning. "We've learned that within HHS, all of our different operational divisions and staff divisions, buy many of the same exact items, but they're buying them on separate contracts, they're duplicating effort, and missing out on tremendous economies of scale." In response, she said the department is leveraging new and emerging technologies such as artificial intelligence, robotics process automation and natural language processing.

The International Academy of Astronautics organized its 6th Planetary Defence Conference from April 29 to May 3rd, 2019 in Washington DC, Area in the USA. The bi-annual conference brings together world experts to discuss the threat to Earth posed by asteroids and comets and actions that might be taken to deflect a threatening object. There were over 300 participants this year. Artash (Grade 7 student) submitted a paper to the conference on Using Machine Learning to predict the Risk Index of an Asteroid Colliding with Earth. It was accepted as a poster presentation for the conference and we were happy to attend the event. It was the first time for us to be participating in this conference.

Improving artificial intelligence to help prevent heart attacks doesn't just depend on innovation. It also hinges on creating standards, the wonky underpinnings of the technology agreed to by companies and government agencies. For example, the Consumer Technology Association, which hosts the annual CES tech show in Las Vegas, recently created an A.I. working group made up of gadget makers and healthcare organizations. The goal is to establish best practices for how health-related devices collect, process, and exchange people's personal data. But standards are critical to making A.I. more useful in nearly every industry.

"Deep learning is neither deep, nor is it learning," says Babak Hodjat, the vice president of projects for "Evolutionary AI" at IT services giant Cognizant Technologies. Hodjat's critique is part of a fascinating exploration of AI taking shape at IT services firm Cognizant Technology Solutions, a twenty-five-year-old company based in Teaneck, New Jersey that last year made nearly $16 billion in revenue serving some of the biggest companies in the world. For years, this IT giant has talked about "digital transformation," something that is large and significant but also something hard to get one's mind around because it very often seems vague and undefined. And then in December, Cognizant gave a whole new grounding and precision to that digital work by acquiring certain assets from an eleven-year-old AI startup Sentient Technologies. The company, co-founded by Hodjat, has been pursuing a thrilling line of work in what's called "evolutionary computation," where many algorithms, including conventional artificial neural networks, can be tested in parallel for "fitness," to select an optimal network to perform a task.

And why do you need them to sustain your hotel direct booking strategy? Chatbots and hotel direct bookings have been much discussed in the past few months. This article defines briefly, the key aspects of hotel e-commerce chatbots (customer service and room reservation chatbots). Then, it shows you exactly where most hotels' direct sales strategy is flawed, and how artificial intelligence can help improve it. Chats are conversational interfaces (text or voice) where customers can ask their questions and usually expect a quick answer.

The issue of corporate ethics is never far from the business media headlines. Take the troubles embroiling former Nissan chair Carlos Ghosn, or the accounting problems at Patisserie Valerie in the UK, to name just two recent examples. Despite the best intentions and efforts of policymakers, legislators, boards and professional consultants, the corporate scandals keep coming. Now, to further complicate matters, the latest developments in the digital revolution are adding a new dimension to the challenge of ensuring companies and their executives behave responsibly. Ioannis Ioannou, Associate Professor of Strategy and Entrepreneurship at London Business School, and Sam Baker, Monitor Deloitte Partner, suggest that, while the widespread introduction of AI and machine learning technologies can be a force for good, without the right approach there is a risk that the corporate ethics waters become even murkier.

The pace of innovation is incredibly fast with new things being discovered daily. This is a special type of intelligence that is exhibited by computers and other machines. It's a flexible agent that perceives its environment and takes the necessary action required for the success of that particular phenomenon. Artificial intelligence is used when machines copy the cognitive functions of the human brain in learning and solving problems. As machines become increasingly capable, other facilities are removed from the definition.

Energy Star was launched in 1992 by the US Environmental Protection Agency as a voluntary labelling programme recognising the value of energy-efficiency in a broad range of computer-related products, from personal computers to air-conditioning systems. The programme's major success was the widespread adoption of the energy-saving "sleep mode" in consumer electronic devices. Energy Star's innovative breakthrough represents an important platform from which today's concept of computational sustainability was launched. Computational sustainability is defined as a field of interdisciplinary research that attempts to optimise societal, economic and environmental resources using advanced decision-making algorithms supported by the ever-increasing processing power of today's evolving computer systems. Computational sustainability's key goals include the development of computational models, methods and tools to assist in the management of the delicate balance between environmental, economic and societal needs. Advancements in AI and HCI have enabled combinations of robots and humans to carry out critical functions in the most hostile of environments.