The use of facial recognition by police and other law enforcement is proving divisive, with Verdict readers split over its use. In a poll on Verdict that saw responses from 644 readers between 24 January and 7 February, the majority said they were not happy with the use of facial recognition by police, but only by a slim margin. The response comes as the EU is considering a ban on the use of facial recognition until the technology reaches a greater stage of maturity. A draft white paper, which was first published by the news website EURACTIV in January, showed that a temporary ban was being considered by the European Commission. It proposed that "use of facial recognition technology by private or public actors in public spaces would be prohibited for a definite period (e.g.

In the future, robots could take blood samples, benefiting patients and healthcare workers alike. A Rutgers-led team has created a blood-sampling robot that performed as well or better than people, according to the first human clinical trial of an automated blood drawing and testing device. The device provides quick results and would allow healthcare professionals to spend more time treating patients in hospitals and other settings. The results, published in the journal Technology, were comparable to or exceeded clinical standards, with an overall success rate of 87% for the 31 participants whose blood was drawn. For the 25 people whose veins were easy to access, the success rate was 97%.

There are numerous applications that combine data collected from sensors with machine-learning based classification models to predict the type of event or objects observed. Both the collection of the data itself and the classification models can be tuned for optimal performance, but we hypothesize that additional gains can be realized by jointly assessing both factors together. Through this research, we used a seismic event dataset and two neural network classification models that issued probabilistic predictions on each event to determine whether it was an earthquake or a quarry blast. Real world applications will have constraints on data collection, perhaps inmore » terms of a budget for the number of sensors or on where, when, or how data can be collected. We compare different methods of determining the set of sensors in each subnetwork in terms of their predictive accuracy and the number of events that they observe overall.

Russian researchers from the Moscow Institute of Physics and Technology, Valiev Institute of Physics and Technology, and ITMO University have created a neural network that learned to predict the behavior of a quantum system by "looking" at its network structure. The neural network autonomously finds solutions that are well-adapted toward quantum advantage demonstrations. This will aid researchers in developing new efficient quantum computers. The findings are reported in the New Journal of Physics. A wide range of problems in modern science are solved through quantum mechanical calculations.

It's 2020, my name is Jack and I work at the front desk of a busy 3-star hotel at Amsterdam airport called the Grand Hotel (fictitious). Our clientele is the usual airport hotel clientele you would expect, crews, holidaymakers, business travelers, and in low season some tour groups. There are 300 rooms, and we have a large restaurant and a lobby bar as well as gym, meeting rooms etc. This morning was a particularly hard morning at checkout though. The car parking validator broke down and that just transcended us into a bad place.

In recent years, various companies have entered the AI chip market, including not only giant IT companies but also fast-growing start-ups in China. As competition for edge AI chip development intensifies, an oligopoly supply by several major companies continues in the deep-learning AI processor market. Currently, there are no mass-produced chips smaller than a 12-nm process. Is Data Security a Shared Responsibility? On the other hand, the electrical consumption of data centers is expected to exceed 10% of the entire world's electrical energy by 2030. TRIPLE-1 believes that AI processors for deep learning need not only high "computing power" to learn and process a huge amount of data, but also a severe viewpoint on "power consumption" from the perspective of energy conservation and cost reduction. Therefore, TRIPLE-1 has launched the project to develop "GOKU," a deep-learning AI processor dedicated to ultra-low power consumption, using the world's highly advanced 5-nm process and utilizing its unique low-power / high-performance technology and design know-how in the cutting-edge process.

The Federal Highway Administration launched an Exploratory Advanced Research Program this week to usher in "transformational changes and truly revolutionary advances" in highway engineering and intermodal transportation on roads across the United States. According to a new broad agency announcement, the administration is accepting research effort proposals--with the deliberate intent of awarding either contracts or cooperative agreements--that address three trendy topics in emerging tech: blockchain for highway transportation, artificial intelligence for highway transportation, and incorporating trashed plastic into asphalt cement to reduce waste. "This program supports scientific investigations and studies that advance the current knowledge and state-of-the-art in the sciences and technologies employed in the planning, design, construction, operation, maintenance and management of the nation's highways," officials wrote in the announcement. "Strategically, this research will enable and expedite the development of revolutionary approaches, methodologies, and breakthroughs required to drive innovation and greatly improve the efficiency of highway transportation." The agency's EAR programs aim to produce strong public-private partnerships that catalyze solutions through "longer-term, higher risk" research.

Dmitry Kochin (left) and Alexander Neymak are the brains behind FuturologyAI, a largely self-funded ... [ ] startup that creates bots for sales teams. Russian bots are not just for election meddling anymore. Bots, whether Russian or American made, can also pose as virtual assistants ready to help an existing sales team, or build one where there wasn't one before. Dmitry Kochin is a Russian'Botman', taught the tools of the trade at the Moscow Institute for Physics and Technology, where he earned his PhD in computer science in 2006. His three-year old company, FuturologyAI, has a team of five developers, all of them sitting in an office in Moscow, building what he calls a "virtual sales force" and training bots to better understand human conversation.

Dr. Zoe Danielle Birnbaum and James Matthew Frankel are to be married Feb. 9 by Rabbi Jeffrey Sirkman at Tappan Hill Mansion in Tarrytown, N.Y. The bride and groom graduated from Colgate. Dr. Birnbaum, 30, is a third-year resident in the field of psychiatry at NYU Langone Medical Center, and received a medical degree from N.Y.U. She is a daughter of Dr. Lisa Turtz and Jesse Birnbaum of Larchmont, N.Y. The bride's father is a member of the quality assurance team at the Mahwah, N.J., manufacturing facility of Nobel Biocare, the Swiss-based maker of dental implants and individualized prosthetics.

Most senior leaders would agree that adapting in real time to customer and market needs is vital for achieving their visions and goals. And to develop this capability, they'd also likely agree they need data and artificial intelligence (AI). The examples are all around us. The city of Chicago uses 12 variables, including high daily temperatures, to prioritize which of the city's 7,000 "high-risk" restaurants it should send its 35 food inspectors to. The AI solution found violations a week earlier than they otherwise would have.