Picking out the differences between high-end whiskeys might be easy for a seasoned Scotch drinker, but until recently, this skill eluded artificial systems. Now researchers at the University of Glasgow have developed an artificial tongue capable of distinguishing between drams of Glen-fiddich, Glen Marnoch, and Laphroaig whiskeys with 99% accuracy. The "tongue" itself consists of tiny gold receptors that measure just 100 nanometers across, or approximately one-thousandth the width of a human hair. When exposed to a liquid, the receptors change color. The researchers measure and track the changes across multiple receptors, then build up a statistical model of a given liquid's attributes.

Driven by advanced techniques in machine learning, commercial systems for automated language translation now nearly match the performance of human linguists, and far more efficiently. Google Translate supports 105 languages, from Afrikaans to Zulu, and in addition to printed text it can translate speech, handwriting, and the text found on websites and in images. The methods for doing those things are clever, but the key enabler lies in the huge annotated databases of writings in the various language pairs. A translation from French to English succeeds because the algorithms were trained on millions of actual translation examples. The expectation is that every word or phrase that comes into the system, with its associated rules and patterns of language structure, will have been seen and translated before.

I recently completed a data science bootcamp, and during my last week, my class and the graduating UX/UI design class got headshots done. I was the first person to go up, and I started chatting with the photographer. She mentioned how she also does headshots for another coding bootcamp as well and coders are much more awkward in front of a camera. Then, she asked me what I did in my design class. Machine learning is quickly becoming part of the fabric of our lives and the world we live in.

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India is turning to WhatsApp, the most popular app in the country, to create awareness about the coronavirus pandemic. Narendra Modi, India's Prime Minister, said on Saturday that citizens in the country can text a WhatsApp bot -- called MyGov Corona Helpdesk -- to get instant authoritative answers to their coronavirus queries such as the symptoms of the viral disease and how they could seek help. Here is an effort by WhatsApp and @mygovindia to ensure you receive accurate and verified information on Coronavirus. Please click on this link https://t.co/REabfIp5QT An individual is required to text 919013151515 (or click on this shortcut link) to connect to the bot.

The Indian government on Friday announced to postpone the nation's first summit on Artificial Intelligence (AI) that was scheduled to be held in the Capital in October amid the growing new coronavirus (COVID-19) pandemic. Titled'RAISE 2020 (Responsible AI for Social Empowerment 2020),' the summit on October 5-6 was announced as a global meeting of minds to exchange ideas and charter a course to use AI for social transformation, inclusion and empowerment in key areas like healthcare, agriculture, education and smart mobility, among other sectors. "The registrations are open for all participants and the process will remain the same as before. All AI startups are welcome to participate through the same procedure for the Startup Pitchfest," said Abhishek Singh, President and CEO, National e-Governance Division (NeGD), the Ministry of Electronics and Information Technology (MeitY). "The step to postpone the summit is a public health measure for containment and mitigation of the current COVID-19 outbreak," he added.

The Coral system, on the other hand, is passive, meaning it does not need human intervention to activate or deactivate. It watches swimmers on its own, having filtered through millions of images to learn what human heads look like. The machine emits a chirp when a person enters the pool, then learns who that person is so it won't chirp again if they hop out and hop back in. The system also connects to mobile devices, which will sound should the alarm get triggered. In the indoor YMCA's case, officials charge its back-up battery every few days.

The 2020 LHC Olympics challenged teams to develop a machine learning code to find a hidden signal in particle-collision data. This image shows particle-collision data captured by the ATLAS detector at CERN's Large Hadron Collider. In searching for new particles, physicists can lean on theoretical predictions that suggest some good places to look and some good ways to find them: It's like being handed a rough sketch of a needle hidden in a haystack. But blind searches are a lot more complicated, like hunting in a haystack without knowing what you are looking for. To find what conventional computer algorithms and scientists may overlook in the huge volume of data collected in particle collider experiments, the particle physics community is turning to machine learning, an application of artificial intelligence that can teach itself to improve its searching skills as it sifts through a haystack of data.

A security company has shifted its detection strategy from spotting guns to identifying people with a temperature. Launched in 2018, Athena Security's first product uses thermal imaging and computer vision to detect guns concealed under clothing. Now that the coronavirus is an even bigger public health threat than gun violence, the company has a new product: Fever Detection for COVID-19. Lisa Falzone, co-founder and CEO of Athena Security, said the platform combines infrared cameras and an algorithm that analyzes body temperature to detect people who have a temperature higher than 100 degrees. "So when someone comes into a business or an airport, you want to detect fevers to protect employees and customers," she said.

White House economic adviser Larry Kudlow joins Sean Hannity on'Hannity.' I'm starting to get really scared ... and not of the coronavirus. I'm scared about the loss of liberty people around the world are experiencing as normal life grinds to a halt and we hunker down and keep our distance from each other to stop the spread of this microscopic terror. Three weeks ago you would think I was crazy if I told you that U.S. borders would be closed; many stores, restaurants, bars, and factories would be shut down; office workers would be teleworking from home; millions of children would be out of school; and many of us would be told to stay in our homes as much as possible and only leave when absolutely necessary. If an imaginative scriptwriter pitched a movie with this plot just a few weeks ago he might have been told by a movie studio that the idea was too wild and unbelievable even for a fantasy film.