A smart factory in South Korea has developed an artificial intelligence (AI) solution to help people stay socially distanced and keep the coronavirus contained as the country reopens. A cafe in Daejeon, South Korea is using a robot barista to serve people lattes and make it easier for consumers to stay the recommended six feet apart, according to a report in Reuters on Monday (May 25). The robot was developed in collaboration with smart factory Vision Semicon and a state-run science institute, according to Lee Dong-bae, director of research at Vision Semicon. "Our system needs no input from people from order to delivery, and tables were sparsely arranged to ensure smooth movements of the robots, which fits well with the current'untact' and distancing campaign," he said. The robot can make 60 different types of coffee and serves orders to consumers at their tables.

An artificial intelligence agent named Tala may open the door on a new way of gathering feedback from New Zealand's Samoan community. The Talanoa Project is a pilot project that uses IBM's artificial intelligence virtual agent solution, Watson, to interact in real time in Samoan for public consultation and community engagement. Developed and designed by Beca, business director Matthew Ensor said it was about consulting with'the silent majority' in the public on projects and community facilities. "We don't hear so much from the people where language is a barrier, where culturally there's no tradition of responding to public consultation. "We then created a conversational agent, it's like a chat-bot and what it does is it mimics the kind of conversation that you would have with a consultation expert," Mr Ensor said. "It will ask open questions about your thoughts on different things and really lets the person lead the conversation rather than a survey form where the questions are completely scripted." Steve O'Donnell from IBM New Zealand's Managing Partner for Global Business Services said this was the first time IBM Watson Assistant had been used for public consultation in New Zealand in a language other than English. "What we are seeing now is AI being able to scale down, and drive value in many industries," he said. "IBM Watson has already transformed the world of customer service, due largely to its ability to understand human sentiment and interact naturally with people and Tala is a promising first step towards that." The Talanoa Project, part funded by Callaghan Innovation, tested Tala among a few dozen Samoan speakers, asking them for their thoughts on their local community facilities. The focus group of Samoans ranged from 19-years of age to 77 being the oldest and included Samoan elders, law students, psychologists and sociologists. "It was overwhelmingly positive the response we got back from the Samoan community," Mr Ensor said. "We had a few people share that it was great to hear technology using their native language.

On Memorial Day weekends past, you might have joined in the All-American ritual of firing up the grill, cracking a cold one, and feuding with your family over which hot dog condiment is correct. But this holiday, you might not have as many wieners to argue about. Across the US, the coronavirus that causes Covid-19 has rampaged through cold, cramped, meat processing facilities, sickening thousands of workers and killing at least 30 of them. With dozens of plants closed or cutting back operations, meat shortages have been forcing some grocery stores to ration grilling staples like ground beef and chicken breasts. At least one sausage factory, in Milwaukee, has had to hit pause on its hot dog production line.

Babies know when you imitate them - and they perceive it as a sign of friendliness, according to a new study. Swedish research suggest the imitation game is an infant's favourite way of interacting with adults, making them more engaged and likely to approach an adult. In experiments, six-month-old babies looked and smiled longer, and tried to approach the adult more often during the close mirroring of their actions. Babies also responded to being imitated with'testing behaviour' – actions that encouraged the adult imitator to imitate in turn. Imitation on behalf of the adult helps nurture a baby's sensitivity to others and could be a driving force of driving early social cognition, the research team report.

Graphing calculators have clung on to school lives despite us all carrying around smartphones that are several magnitudes more powerful. In a bid to reduce cheating in exam settings, Texas Instruments is pulling support for assembly- and C-based programs. If you install the latest firmware update, those kinds of programs won't work, and you won't be able to roll-back the device. While this could please teachers worried that students will use apps on their calculator to cheat during exams, enthusiasts are, unsurprisingly, mad. It reduces the control programmers have over their calculator apps. It also might not have the intended effect.

Even though you may not realize it, machine learning-powered matchmaking is present everywhere in our daily lives, from the type of content shown on our Facebook news feeds to the suggested TV shows that come up on Netflix, and even to the matches suggested on dating sites/apps like Match.com and Tinder. As machine learning continues to advance, it will start to make its way to the hiring process, driving efficiencies in connecting employers and candidates, especially for technical jobs. Analyzing large amounts of data on candidates will become increasingly important during the hiring process for many companies. Today, matching algorithms use strings and keywords in resumes to filter candidates. This enables companies to get more accurate results, quicker, during the hiring process.

In 10 years, the circular economy will be the only economy, replacing wasteful linear economies, predicts Gartner. According to Gartner, circular economic business models encourage continuous reuse of materials to minimise waste and the demand for additional natural resource consumption. "The circular economy creates an ecosystem of materials," notes Sarah Watt, senior director analyst at Gartner. "What was previously viewed as waste now has value. However those ecosystems are complex, and include many interdependencies and feedback loops."

With 314 confirmed cases of the virus as of May 22, the East African country has enlisted the help of five anti-epidemic robots to battle the virus. The robots were donated by the United Nations Development Program (UNDP) to the Kanyinya treatment center that treats Covid-19 patients in the capital city, Kigali. The robots -- named Akazuba, Ikirezi, Mwiza, Ngabo, and Urumuri -- were received by the country's Minister of Health and Minister of ICT and Innovation last week. They will be used for mass temperature screening, monitoring patient status, and keeping medical records of Covid-19 patients, according to Rwanda's Ministry of ICT and Innovation. Keeping healthworkers safeThe robots perform a number of tasks relating to managing coronavirus.

This lecture discusses how decision trees can be used to represent predictor functions. Variations of the basic decision tree model provide some of the most powerful machine learning methods curren... Alexander Jung uploaded a video 1 week ago Classification Methods - Duration: 46 minutes. Our focus is on linear regression methods which can be expanded by feature constructions. Guest lecture of Prof. Minna Huotilainen on learning processes in human brains. Alexander Jung subscribed to a channel 3 weeks ago Playing For Change - Channel PFC is a movement created to inspire and connect the world through music. The idea for this project came from a common belief that music has the power to break down boundaries and overcome distances SubscribeSubscribedUnsubscribe1.9M This video explains how network Lasso can be used to learn localized linear models that allow "personalized" predictions for individual data points within a network.

Sickle cell disease (SCD) is a major public health priority throughout much of the world, affecting millions of people. In many regions, particularly those in resource-limited settings, SCD is not consistently diagnosed. In Africa, where the majority of SCD patients reside, more than 50% of the 0.2–0.3 million children born with SCD each year will die from it; many of these deaths are in fact preventable with correct diagnosis and treatment. Here, we present a deep learning framework which can perform automatic screening of sickle cells in blood smears using a smartphone microscope. This framework uses two distinct, complementary deep neural networks.