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A new computer system could spell the end for animal testing. The new system offers up more accurate results than animal testing, predicting the toxicity of a substance almost immediately. It is also less expensive, less time-consuming, and poses much less of an ethical dilemma. "These results are a real eye-opener, they suggest that we can replace many animal tests with computer-based prediction and get more reliable results," Professor Thomas Hartung, the lead designer of the system, told the Financial Times. Hartung and his team of researchers used artificial intelligence to analyze the results of 800,000 tests on 10,000 different chemicals, held on a database.

The U.S Department of Homeland Security had funded a research approximately 6 years ago of the virtual border agent technology, better known as AVATAR (Automated Virtual Agent for Truth Assessments in Real Time) and had tested it at the U.S Mexico border on travelers voluntarily. Canada and EU has also tested the robot like kiosk that is asking travelers a series of questions. If the trend continues, International Travelers could be speaking with kiosk to determine if they are lying on any aspect at an airport or border crossings. The technology can also be used to screen the refugees and unwanted travelers travelling to any country. It can also be used to screen the citizenship applications, processing visas and many other such inter-related services.

Mauro Birattari and Lorenzo Garattoni, researchers at the IRIDIA laboratory (Brussels School of Engineering, Université Libre de Bruxelles), have recently shown that robots are able to collectively decide in what order they should complete their tasks. The results of their research are published in Science Robotics this Wednesday, July 18. The researchers from the IRIDIA laboratory have based their study on swarm robotics, a branch of robotics that draws from the collective and organised behaviour of social animals (such as ants) in order to create groups of robots that exhibit artificial intelligence. Robots are currently able to communicate and coordinate in order to make decisions and carry out simple tasks, such as moving an object or picking one of two paths. For their latest research, Mauro Birattari and Lorenzo Garattoni have taken it one step further in terms of complexity: they have created a swarm of robots that is able to perform a sequence of three actions, without knowing the correct order in advance.

This allows for more fine-grained information about the extent of the object within the box. So when would we need this extra granularity?

NOIZ is a decentralized advertising network. It uses AI technology to power an interactive advertising system known as cognitive ads, which use natural language processing (NLP) software to learn from user consumer interactions and improve user experience; thus, increasing engagement. REM and Passive Monitoring software are used to filter out fraudulent (fake or spam) clicks, views and impressions. Together, these forms of AI software significantly increase ROI for advetisers while also providing clean, transparent data to publishers and a smoother advertising experience for consumers. All interactions across the cognitive ads are stored on a blockchain network, keeping shared information secure.

They define middle-aged workers as those between the ages of 26 and 55, and older workers as those over the age of 55. They find that countries that are undergoing more rapid aging, meaning that they are experiencing a greater proportional decrease in the number of middle-aged workers relative to older workers, invest significantly more in robotics. They are more likely to develop new technologies and manufacture robots, and to deploy these robots in production. Population aging can explain almost 40 percent of the country-to-country variation in the adoption of industrial robots. The researchers estimate that a 10 percentage point increase in the ratio of the number of middle-aged to older workers is associated with 0.9 more robots per thousand workers.

Typically, engineers want to get bugs out of their creations. Not so for the U.K. engineering firm (not the famed carmaker) Rolls-Royce -- it's looking for a way to get bugs into the aircraft engines it builds. They're tiny robots modeled after the cockroach. On Tuesday, Rolls-Royce shared the latest developments in its research into cockroach-like robots at the Farnborough International Airshow. Rolls-Royce believes these tiny insect-inspired robots will save engineers time by serving as their eyes and hands within the tight confines of an airplane's engine.

Artificial intelligence is coming to healthcare. In fact, it's already here, and physicians are benefiting from it, using it to streamline administrative functions and enhance the patient experience. It's getting so that even smaller practices are able to harness this emerging technology, and not only is it making physicians' lives easier, but jumping on the bandwagon is a smart move financially. Patient experience is now a metric that ties into reimbursement, and if that experience can be enhanced, then patients and their caregivers all benefit. The good news for small practices is that they don't have to wait to start implementing some aspects of AI, particularly if they're using the same electronic health records systems as some of the larger nearby providers.