AI_tech_world

Robots outside a hotel in Tokyo on Friday. Reuters Tokyo Coronavirus patients with light symptoms arriving to stay at several Tokyo hotels are likely to get a lift from a pleasant surprise — a robot greeter in the lobby. Japan is now using hotels to house patients who have tested positive for the coronavirus but whose symptoms are too light to need hospitalisation, and several in the capital of Tokyo just opened on Friday feature robots to help lighten the burden on nurses. In one, a big-eyed robot named “Pepper” — appropriately wearing a protective mask — stood waiting to welcome visitors. “Please, wear a mask inside,” it said in a perky voice. “I hope you recover as quickly as possible.” Other messages include “I pray the spread of the disease is contained as soon as possible” and “Let’s join our hearts and get through this together.” Pepper is not the only robot at work in the hotel in the Ryogoku area of Tokyo. A cleaning robot with the latest in Artifial

Accenture, Intel and the Sulubaaï Environmental Foundation  announced  Project: CORaiL, an artificial intelligence (AI) - powered solution to monitor, characterize and analyze coral reef resilience. Since May 2019, it’s been deployed to the reef surrounding Pangatalan Island, Philipines. Researchers have been using the 40,000 images collected to study the effects of climate change in the area.  According to  the United Nations Environment Programme , coral reefs protect coastlines from tropical storms, provide food and income for 1 billion people, and generate $9.6 billion in tourism and recreation. Due to overfishing, bottom trawling, warming temperatures and unsustainable coastal development, coral reefs are endangered. Global climate change is also a  threat  to the coral reef ecosystem. Monitoring coral reefs around the world for the effects of ocean acidification, or changing pH in seawater, will become increasingly important for climate change researchers.  Restoring

Google‘s AI team has released a new tool to help researchers traverse through a trove of coronavirus papers, journals, and articles. The  COVID-19 research explorer tool  is a  semantic search interface that sits on top of the  COVID-19 Open Research Dataset  (CORD-19).  The team says that traditional search engines are sufficient at answering queries such as “What are the symptoms of coronavirus?” or “Where can I get tested in my country?”. However, when it comes to more pointed questions from researchers, these search engines and their  keyword-based  approach fail to deliver accurate results. Google‘s new tool helps researchers solve that problem. The CORD-19 database has over 50,000  journal articles and research papers related to coronavirus. However, a simple keyword search wouldn’t yield reliable results. So, Google uses Natural Language Understanding (NLU) based semantic search to answer those queries.  NLU is a subset of Natural Language Processing (NLP) that focu