Advances in technology can allow you to order food by voice or unlock your phone with your face, but those new capabilities could take a toll on the environment. Enhanced tech capabilities are being developed through the use of artificial-intelligence approaches like neural networks, which detect patterns in speech and images by training programs across countless data points. That process constantly crunches reams of information on power-hungry servers in data centers that use a substantial amount of energy to power, cool and monitor the servers. The result: Training a neural network can emit 17 times more carbon dioxide than an average American does in a year, and five times the lifetime emissions of an average car. Those are the findings of a recent paper by researchers at the University of Massachusetts, Amherst, which highlighted the substantial power generated by AI technologies.
Perspecta Inc. announced that its innovative applied research arm, Perspecta Labs, was awarded a prime contract from the U.S. Defense Advanced Research Projects Agency (DARPA) to provide Photonic Edge AI Compact Hardware (PEACH) research under DARPA's Artificial Intelligence (AI) Exploration program. The contract, which represents new work for the company, has a total value of $1 million and work will be performed over 18 months. The goal of the PEACH program is to research and develop novel AI processing architectures in combination with innovative photonic hardware to enable breakthrough AI functionality with significant reduction in hardware complexity, latency and power consumption. Perspecta Labs will create a novel multiple-loop, delay-line reservoir computing architecture, an algorithm for specific emitter identification, and a scalable prototype hardware design in combination with innovative photonic hardware. "Perspecta Labs will draw on its rich portfolio of research and development in AI, photonics, radio frequency (RF) analytics, and systems engineering to deliver this work," said Petros Mouchtaris, Ph.D., president of Perspecta Labs.
Right now you can get an $150 discount on the Roomba i7 . If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. If you say that vacuuming is your favorite chore, I respect your wrong opinion. It is in fact the most tedious and tiresome part of cleaning the house: prove me wrong.
The ability to forecast events at scale, given a set of variables, is something most companies would find useful. So Amazon is aiming to make prediction more accessible with a fully managed service called Forecast that uses AI and machine learning to deliver highly accurate forecasts. As Amazon explained in a press release, Forecast -- which is based on the same technology the Seattle company uses to anticipate demand for hundreds of millions of products every day -- can be used to build precise forecasts for virtually any business condition, including product demand and sales, infrastructure requirements, energy needs, and staffing levels. It automatically provisions the necessary cloud infrastructure and processes data, building custom AI models hosted on AWS without requiring an ounce of machine learning experience on the part of developers. Amazon says the API or a console allows the average person to build custom machine learning models in less than five clicks and achieve accuracy levels that would normally take months in as little as a few hours.
Robert Chang, a Stanford ophthalmologist, normally stays busy prescribing drops and performing eye surgery. But a few years ago, he decided to jump on a hot new trend in his field: artificial intelligence. Doctors like Chang often rely on eye imaging to track the development of conditions like glaucoma. With enough scans, he reasoned, he might find patterns that could help him better interpret test results. That is, if he could get his hands on enough data.
Facial-recognition software is increasingly being used to track individuals without their permission.Credit: David McNew/AFP/Getty China wants to be the world's leader in artificial intelligence (AI) by 2030. The United States has a strategic plan to retain the top spot, and, by some measures, already leads in influential papers, hardware and AI talent. Other wealthy nations are also jockeying for a place in the world AI league. A kind of AI arms race is under way, and governments and corporations are pouring eye-watering sums into research and development. The prize, and it's a big one, is that AI is forecast to add around US$15 trillion to the world economy by 2030 -- more than four times the 2017 gross domestic product of Germany.
The basis of applying deep learning to solve natural language processing tasks is to obtain high-quality distributed representations of words, i.e., word embeddings, from large amounts of text data. However, text itself usually contains incomplete and ambiguous information, which makes necessity to leverage extra knowledge to understand it.
These autonomous robots put the special in special delivery and you might see them on a college campus near you! WEST LAFAYETTE, Ind.-- How do delivery robots operate in winter? What if no one picks up the delivery? A board in West Lafayette, Indiana, has unanimously approved a pilot program bringing robotic delivery services to Purdue University, as well as a suspension of city code allowing small, cooler-sized robots to operate on city sidewalks. But first, the board members had several questions about the program from San Francisco-based Starship Technologies before it could debut in September.
If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. Cool, we're on the same page then. When it comes to shopping for stuff you maybe kind of need (but definitely want), Amazon is the best retailer for a reason: they literally have everything. But combing through all those countless pages, scrolling and searching for what feels like hours to find that stuff that's actually good and not just a hunk of junk from China?
These are exciting times for computational sciences with the digital revolution permeating a variety of areas and radically transforming business, science, and our daily lives. The Internet and the World Wide Web, GPS, satellite communications, remote sensing, and smartphones are dramatically accelerating the pace of discovery, engendering globally connected networks of people and devices. The rise of practically relevant artificial intelligence (AI) is also playing an increasing part in this revolution, fostering e-commerce, social networks, personalized medicine, IBM Watson and AlphaGo, self-driving cars, and other groundbreaking transformations. Unfortunately, humanity is also facing tremendous challenges. Nearly a billion people still live below the international poverty line and human activities and climate change are threatening our planet and the livelihood of current and future generations. Moreover, the impact of computing and information technology has been uneven, mainly benefiting profitable sectors, with fewer societal and environmental benefits, further exacerbating inequalities and the destruction of our planet. Our vision is that computer scientists can and should play a key role in helping address societal and environmental challenges in pursuit of a sustainable future, while also advancing computer science as a discipline. For over a decade, we have been deeply engaged in computational research to address societal and environmental challenges, while nurturing the new field of Computational Sustainability.