Today, the U.S. Food and Drug Administration permitted marketing of Imagen OsteoDetect, a type of computer-aided detection and diagnosis software designed to detect wrist fractures in adult patients. "Artificial intelligence algorithms have tremendous potential to help health care providers diagnose and treat medical conditions," said Robert Ochs, Ph.D., acting deputy director for radiological health, Office of In Vitro Diagnostics and Radiological Health in the FDA's Center for Devices and Radiological Health. "This software can help providers detect wrist fractures more quickly and aid in the diagnosis of fractures." The OsteoDetect software is a computer-aided detection and diagnostic software that uses an artificial intelligence algorithm to analyze two-dimensional X-ray images for signs of distal radius fracture, a common type of wrist fracture. The software marks the location of the fracture on the image to aid the provider in detection and diagnosis.

The central government's top policy think tank, Niti Aayog, has entered into an agreement with Swiss engineering group ABB to collaborate over artificial intelligence and robotics in manufacturing. Both parties have signed a statement of intent to support the government's Make in India programme through advanced manufacturing technologies. Moreover, ABB said that Niti Aayog will work with the company to prepare key sectors of the economy for digitisation, Internet of Things and artificial intelligence. The sectors include power, water utilities, food, heavy industries, transport (rail and metro), and infrastructure. ABB also said that the partnership will focus on the electric mobility segment.

The rapid emergence and use of AI in mission- and business-critical situations is leading management teams to consider issues of trust. This is especially true when machine learning systems are used to make decisions that have particularly serious ramifications. For example, the issue arises with autonomous vehicles that need to make split-second decisions, with AI-based systems that make loan or insurance claim decisions, and with tools used to sentence convicts or determine bail amounts. In each of these situations and others, humans are trusting machines to make decisions that can have significant and potentially harmful outcomes. But while their decision-making processes are opaque today, there is hope that the combination of blockchain and AI could make learning systems more interpretable.

NEW DELHI: After Russia, China and US, India has decided to include Artificial Intelligence in its defence forces with an aim to enhance the operational preparedness of the armed forces. Speaking to ANI, Ajay Kumar, Defence Secretary (Production), Ministry of Defence said that a task force has been set up under the chairmanship of Tata Sons chairman N. Chandrasekaran to finalise the specifics and framework of the project. "Artificial Intelligence is going to influence everything in the future, our common lives also including it also going to affect the future warfare. Most of the major countries in the world are taking steps to ensure that their defence systems are fully empowered by the use of Artificial Intelligence. In India, we have also taken steps in this direction," Kumar said.

Raw video: Cameras mounted inside the car catches the fatal moment. Authorites are investigating the cause of the crash. The self-driving Uber SUV that struck and killed Elaine Herzberg in Tempe, Ariz., in March picked her up on its sensors six seconds before it hit her, but did not determine that it needed to stop or evade her until it was too late, according to federal investigators. Herzberg was jaywalking her bicycle across a four-lane section of road on the night of March 18 when the Volvo XC90 SUV ran into her. A preliminary report on the accident from the National Transportation Safety Board issued on Thursday said that a review of the data from the car shows that it first identified her as an unknown object, then as a vehicle and finally as a bicycle.

The federal investigators examining Uber's fatal self-driving crash in March released a preliminary report this morning. It lays out the facts of the collision that killed a woman walking her bicycle in Tempe, Arizona, and explains what the vehicle actually saw that night. The National Transportation Safety Board won't determine the cause of the crash or issue safety recommendations to stop others from happening until it releases its final report, but this first look makes two things clear: Engineering a car that drives itself is very hard. And any self-driving car developer that is relying on a human operator to monitor its testing systems--to keep everyone on the road safe--should be extraordinarily careful about the design of that system. The report says that the Uber vehicle, a modified Volvo XC90 SUV, had been in autonomous mode for 19 minutes and was driving at about 40 mph when it hit 49-year-old Elaine Herzberg as she was walking her bike across the street.

The NTSB report also noted the pedestrian tested positive for methamphetamine and marijuana. That information is of limited use ― the Uber should have identified and avoided her either way ― but it does potentially provide insight into why she didn't cross at the crosswalk 360 feet to the north, and why she was unaware of the vehicle until immediately before impact.

IBM CEO Virginia Rometty has announced that in the next two years the company is planning to create 1,800 jobs in France in the fields of Artificial Intelligence (AI), blockchain, and the Internet of Things (IoT), Le Monde reported May 23. The announcement was made at the Tech for Good summit in Paris, which was hosted by the President of France Emmanuel Macron. Pursuing the idea of making France a "center of excellence" dedicated to artificial intelligence, the tech giant is looking to hire 1,800 specialists in France in areas including blockchain, AI, and IoT. This includes at least 400 research jobs that were announced in January. In their efforts to expand operations in France, IBM is cooperating with major clients such as Crédit Mutuel, Orange Bank, Generali, SNCF, and LVMH.

As soon as next year, NASA will launch a series of robotic commercial delivery missions to the moon in preparation for an astronaut lunar base. The planned Commercial Lunar Payload Services (CLPS) missions aim to establish a'sustainable presence' on the moon, paving the way for science and technology missions and, ultimately, human exploration. According to the space agency, water ice on the lunar surface could even serve as rocket fuel, meaning the moon could become a pit stop on the way to more distant destinations. NASA says the first trips, which could begin in 2019, will deliver instruments and technology to the surface, including devices from the former Resource Prospector concept that aimed to become the first mining expedition on another world. 'We conducted a thorough science and engineering assessment of Resource Prospector and determined all four instruments are at a high technology readiness level, are appropriate for science on the moon, and will make flights on future Commercial Lunar Payload Services (CLPS) missions,' said Dennis Andrucyk, deputy associate administrator Science ission Directorate, at NASA Headquarters in Washington.

The medevac choppers made famous by M*A*S*H are set for a radical upgrade. An Israeli firm has carried out the first simulated mission using a self flying helicopter designed to fly casualties off the battlefield. The mission, for the Israel Defence Forces, saw an'injured' mannequin loaded onto the $14 million Cormorant UAV, and monitored remotely using sensors and a video link during the flight. The Cormorant has enough strength to carry 1,000 pounds per 30 miles, which means it can haul about 13,000 pounds in a full day. The craft flies itself using an array of laser altimeters, radars and sensors, and it is capable of reaching speeds of 100 knots (115 mph) and operate at altitudes of up to 18,000 feet.