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Rare footage captures the first ever evidence of leopard seals sharing food
Stunning footage has revealed the first evidence that leopard seals share food -- with the marine mammals caught divvying up a penguin as they feast on their kill. The ground-breaking footage was captured by a drone flying off the coast of the island of South Georgia, in the southern Atlantic. Researchers said that leopard seals are normally regarded as being solitary creatures. The Antarctic predators are largely'intolerant' of each other, but can be forced to hunt alongside each another when congregating in areas of plentiful prey, the experts added. The leopard seal is named for its black-spotted coat, whose pattern is similar to that of the big cat, though the seal's coat is grey rather than golden in colour.
Premier League predictions 2019-20: Here's how the season will pan out (according to AI) - Verdict
From Leicester City winning the title in 2016 to Liverpool overturning a 4-0 defeat to Barcelona in last season's Champions League, football is impossible to predict. Yet, bringing together world leading companies in data, analytics and artificial intelligence (AI), BT Sport has attempted to do just that. Combining historic performance data from sports industry leaders Opta and Squawka, BT Sport has fed the information into a machine learning model. This calculated the attacking and defensive strengths of each team, as well as the likelihood of events such as transfers and injuries, to calculate the probable scoreline of each match in the season. So where does the AI model's Premier League predictions 2019-20 place your team; where will they claim their biggest victory, and how will they perform against their biggest rivals?
Artificial intelligence predicts which movies will succeed--and fail--simply from plot summaries
Artificial intelligence (AI) still can't see the future, but a new algorithm may come close: Using nothing but written movie summaries, the AI can consistently tell which films will play well--or rottenly--to critics and audiences. If the model can be further refined, it could one day help producers predict whether a movie will be a flop at the box office, before it's even made. To test several models, researchers used plot summaries of 42,306 movies from all over the world, many collected from Wikipedia. The models broke up the summaries by sentence and used something called sentiment analysis to analyze each one. Sentences considered "positive," such as "Thor loves his hammer," would receive a rating closer to one.
Sensyne Health signs collaboration agreement with Bayer to accelerate the development of new treatments for cardiovascular disease using Clinical Artificial Intelligence
Sensyne Health plc (LSE: SENS), the British clinical AI technology company, today announces that it has signed an initial two-year collaboration agreement with Bayer to accelerate the clinical development of new treatments for cardiovascular disease using Sensyne Health's proprietary clinical AI technology platform. The initial agreement will generate revenues for Sensyne Health of £5 million across the two-year collaboration. Sensyne Health's partner NHS trusts will receive a 4% share of all revenues generated by Sensyne Health under this collaboration. This will be in addition to the NHS Trust's existing shareholdings in Sensyne Health plc. The NHS Long Term Plan identifies cardiovascular disease as a clinical priority and the leading condition where lives can be saved by the NHS over the next 10 years.
How AI is changing arts and culture Microsoft On The Issues
There are more than 7,000 languages in the world, a third of which have fewer than 1,000 people who continue to speak them. In southwestern Mexico, Microsoft is engaged as one of the community partners in efforts to preserve languages spoken in the region, specifically Yucatec Maya and Queretaro Otomi. By using AI, Microsoft has helped to protect endangered languages.
Robotic health care is coming to a hospital near you
However, if you live in, or seek care in, a major city like San Francisco, Chicago or New York, you may encounter medical robots in hospitals. If you find yourself with the option of robotic surgery, there's no need to get anxious or upset. Have an open discussion with your doctor and consider any differences in price, as robotic health care may be much cheaper. Most importantly, make sure you are receiving the highest quality health care possible and make sure you understand all the risks – robotic and otherwise.
Kespry and DroneBase Announce Partnership to Expand Drone Program to Insurance and Mining
Kespry, a drone-based aerial intelligence solution provider, and DroneBase, a drone services company, have announced a partnership to enable insurance, mining, and aggregates enterprises across North America to expand aerial analytics implementation across their worksites. Kespry's customers will now be able to leverage DroneBase to manage their Kespry deployments as part of Kespry's new Bring Your Own Drone (BYOD) program. BYOD includes a new platform pricing model designed to meet the expanding enterprise aerial intelligence requirements of multi-site mining and aggregates companies, as well as large-scale residential and commercial property insurers. The combination of Kespry and DroneBase brings the best of the platform and services worlds together, offering a cost-effective, productive way of using drone-based analytics across the largest insurance, mining, and aggregates businesses. "We're very pleased to work with DroneBase and its team of dedicated, aerial intelligence professionals to further expand Kespry insurance, mining and aggregates deployments across the country," said George Mathew, CEO, Kespry.
us-en_skills-you-need-to drive-future-business
A company's most valuable asset is its human capital. In fact, people skills were ranked as the third most important force that will affect enterprises in the next two years by more than 12,800 C-level executives who participated in the most recent IBM Global C-suite Study. In addition, only half of the 2,100 CHRO participants said they currently have the people skills and resources to execute their business strategies. As Gina Dellabarca, General Manager of Human Resources for Westpac New Zealand, says in the C-suite Study report: "Our most important priority in HR is finding talent for the future, not just for now. We're focused on the formidable challenge of attracting, developing, and retaining employees with skills we haven't yet determined."
California Police Are Sharing Facial Recognition Databases to ID Suspects
Many of California's local law enforcement agencies have access to facial recognition software for identifying suspects who appear in crime scene footage, documents obtained through public records requests show. Three California counties also have the capability to run facial recognition searches on each others' mug shot databases, and others could join if they choose to opt into a network maintained by a private law enforcement software company. The network is called California Facial Recognition Interconnect, and it's a service offered by DataWorks Plus, a Greenville, South Carolina–based company with law enforcement contracts in Los Angeles, San Bernardino, San Diego, San Francisco, Sacramento, and Santa Barbara. Currently, the three adjacent counties of Los Angeles, Riverside, and San Bernardino are able to run facial recognition against mug shots in each other's databases. That means these police departments have access to about 11.7 million mug shots of people who have previously been arrested, a majority of which come from the Los Angeles system.
How Machine Learning Speeds Up Fraud Detection
In their work to unearth evidence of fraudulent activities, forensic accounting investigators dig through diverse data looking for anomalies that suggest something is just not right. But as the massive volumes of data collected by companies balloon, this task has become increasingly arduous, time-consuming and humanly impossible. Instead of investigators manually reviewing spreadsheet rows and columns, looking for three or four data elements that together indicate a suspicious transaction, ML can peruse thousands of data elements -- instantly. The regrettable consequence is the greater chance of a well-thought-out scam slipping through the cracks. A case in point is healthcare fraud, which has been estimated to cost the United States tens of billions of dollars annually.