Being optimistic in an interaction with BW People's Resham Suhail he mentioned that "I look forward to very strong measures on employee productivity and we would be able to provide personalized training to our employees".

Alibaba's cloud business unit is offering its artificial intelligence-powered technologies to provide data insights on the current coronavirus pandemic and speed up diagnosis. The Chinese tech giant is hoping a suite of applications jointly developed by its cloud experts, researchers from its subsidiary DAMO Academy, and engineers from its communications platform DingTalk will support medical professionals worldwide in combating the virus. Alibaba said the AI-powered applications were put together from insights and lessons learned during the initial outbreak of the coronavirus. Pointing to its research arm DAMO Academy, it said three applications would be made available as a free trial to medical professionals and researchers, which could be used to aid in disease control and diagnosis. From cancelled conferences to disrupted supply chains, not a corner of the global economy is immune to the spread of COVID-19.

Researchers using artificial intelligence to grade decades of conservation efforts have determined we're getting better at reintroducing once-endangered species to the wild. In their study published Thursday in the journal Patterns, the researchers analyzed the abstracts of more than 4,000 studies of species reintroduction across four decades and found that we're generally improving in our conservation efforts. The authors hope that machine learning could be used in this field, as well as others, to discover the best techniques and solutions from the ever-growing plethora of scientific research. "We wanted to learn some lessons from the vast body of conservation biology literature on reintroduction programs that we could use here in California as we try to put sea otters back into places they haven't roamed for decades," said senior author Kyle Van Houtan, chief scientist at Monterey Bay Aquarium in California. "But what sat in front of us was millions of words and thousands of manuscripts. We wondered how we could extract data from them that we could actually analyze, and so we turned to natural language processing."

If not the most deadly, the novel coronavirus (COVID-19) is one of the most contagious diseases to have hit our green planet in the past decades. In little over three months since the virus was first spotted in mainland China, it has spread to more than 90 countries, infected more than 185,000 people, and taken more than 3,500 lives. As governments and health organizations scramble to contain the spread of coronavirus, they need all the help they can get, including from artificial intelligence. Though current AI technologies are far from replicating human intelligence, they are proving to be very helpful in tracking the outbreak, diagnosing patients, disinfecting areas, and speeding up the process of finding a cure for COVID-19. Data science and machine learning might be two of the most effective weapons we have in the fight against the coronavirus outbreak.

Leveraging the best of breed techologies such as TensorFlow, Keras, openCV and PyTorch for our integration libraries and Amazon AWS and Google Cloud for our REST APIs, the software we design and create are pragmatic, perform amazingly well under constraints and most importantly "just work". From 1-to-1 coaching workshops to periodic code reviews we enhance the skills of your data science and engineering teams. Architect & design a solution that solves your key business challenges with AI. Implement – Best-in-class AI solutions built by experts from the Dhakma network. Are you a start-up or SME looking to implement a AI prototype?

Unlike the thermometers, which work one person at a time and at close range, Athena Security's security camera detection system may be far better for scanning larger numbers of people in places like airports, grocery stores, hospitals, and voting locations. The company's thermal cameras are already in use at a coworking space in Austin, and will be deployed in some "large Fortune 500 companies" and some airports in the coming weeks, but Athena says it can't divulge the names of those customers yet. The cameras can detect the heat of 12 different places on the body with an accuracy of within a ½ degree, says Athena CEO Lisa Falzone. The company's software, which works with high-grade, off-the-shelf security cameras, uses an AI model to zoom in on a subject's inner eye, which is most reflective of the body's actual temperature, she said. The system uses AI to monitor numerous cameras at once, and automatically sends an alert to security personnel if it detects someone with a fever.

To contain the spread of coronavirus, China launched a monitoring app where citizens are assigned a colour based on their health. Taiwan and Singapore used location tracking to enforce quarantines and identify contagion risk. Meanwhile, Kerala has launched an informational COVID-19 app. Canadian AI platform Bluedot was among the first to flag the outbreak in January, days before WHO's statement.

If I asked you to say which sentence was well-formed, you'd probably say the first sentence is and the second isn't. In linguistics, we would say that the first one is grammatical and the second one isn't. However, grammaticality is not always as simple as "this one works" and "this one doesn't work." In many cases, including my own BA thesis, people will be asked to rank the grammaticality of a sentence on a scale (in my research, I asked subjects to rate sentences on a scale from 1 to 7, which is relatively standard). The reason I bring up this concept of grammaticality is to highlight an important aspect of language, its ambiguity.

WIRE)--WekaIO (Weka), the innovation leader in high-performance, scalable file storage for data-intensive applications, today announced that Innoviz, a leading manufacturer of high-performance, solid-state Light Detection and Ranging (LiDAR) sensors and Perception Software that enables the mass-production of autonomous vehicles, has selected the Weka File System (WekaFS) to accelerate its Artificial Intelligence (AI) and deep learning workflows. WekaFS has been chosen by Innoviz to improve application performance at scale and deliver high bandwidth I/O to its GPU cluster. Innoviz's solid-state LiDAR sensors are key to the future of autonomous cars. The sensors and Perception Software, which identifies, classifies, segments, and tracks objects to give autonomous vehicles a better understanding of the 3D driving scene, rely heavily on AI. Having recently closed its Series C funding round with $170M secured, Innoviz is choosing and developing the right technologies to empower it to realize its expansion plans and enhance its manufacturing capabilities.

The coronavirus outbreak is disrupting supply chains for the housing and gaming industries in Japan, causing companies to scramble to find alternative suppliers. Snags in parts procurement from China have led to shortages and delivery delays, and some firms have postponed their product releases. Panasonic Corp. stopped accepting new orders for such housing-related products as built-in kitchens, toilets, ventilating fans and water heaters in mid-February due to difficulty acquiring parts made in China. Toto Ltd. and Lixil Group Corp. have found it difficult to deliver fitted kitchens and toilets in time as well. "We'll take many measures such as securing alternative parts suppliers," a Toto official said.