First responders could send a pair of camera-equipped drones or robots into a burning or unstable building, place them in separate locations, and let the software take over. Running on a laptop with a dual NVIDIA K20 GPUs, it fuses the images into a live virtual scene, using extrapolation to fill in the missing pixels. While the images aren't as pretty as Intel's FreeD replays, users get a continuous video feed that they can rotate around in real time, unlike the still images from the replay tech. The resulting synthetic view would help personnel find someone trapped in a fire by looking around objects, or even through them, as shown above. Soldiers could also peer over and around obstacles to spot enemies or booby traps.

Samsung Medison's new ultrasound system quickly screens for abnormalities. Artificial intelligence may be the new face of medical diagnostics. For the first time, a flavor of A.I. called deep learning is being implemented in new ultrasound imaging equipment to aid in breast exams and help patients avoid unnecessary biopsies. A new feature in Samsung Medison's ultrasound system uses a deep-learning algorithm to make recommendations about whether a breast abnormality is benign or cancerous. The "S-Detect for Breast" feature is now included in an upgrade to the company's RS80A ultrasound system and is commercially available in parts of Europe, the Middle East and Korea and is pending FDA approval in the U.S., according to PR manager Doug Kim.

The reports focuses on three areas in need of convergence between disciplines: Brain disorders, infectious diseases and cancer research. Researchers in those fields need to collaborate with scientists and engineers who work on imaging, nanotechnology, regenerative engineering (prosthetics and organ transplants), and information technology. For instance, building artificial organs for transplants requires 3D printing expertise (below) that medical researchers don't have. Similarly, optogenetics allows neurologists to change an animal's behavior merely with light, but leans heavily on genetics and other fields. Such collaboration, which the authors refer to as the "third revolution" in science, is already commonplace, of course. Doctors are working with geneticists to stamp out viruses and immune disorders via "synthetic biology," and cancer researchers are using AI to improve patient diagnoses.

NEW YORK – Here in the United States, the horrific shooting at a night club in Orlando, Florida, that killed 49 people has intensified the debate once again over the extent leaders must go to fight terrorism and gun violence. In the immediate aftermath of the tragedy, the contrasting responses of Hillary Clinton and Donald Trump and their attacks on one another suggest that a mud-slinging showdown between the two would-be national leaders is on track. And a world away, in the Philippines, the rhetoric surrounding the battle against terrorists and criminals is equally sensational. The one-time student of U.S. democracy has recently elected a leader of its own in political incorrectness. Who would have thought a man who vowed to kill criminals and grant himself a presidential pardon, who boasts of being a womanizer, has joked about wanting to rape a missionary and talked of the killing of journalists, would win a popular election and become head of state. Such is the dramatic turn of events in the Philippines, a nation shaped by centuries of Spanish and then by decades of American colonial rule.

The Restore-L mission could change the way the government and private space corporations build and operate satellites. It has the potential to extend the lifespan of spacefaring vehicles and could prevent their untimely death. Further, once the project is operational, companies could choose to deploy spacecraft with half-empty fuel tanks so that they could fit more instruments on board. "With robotic servicing on the table, satellite owners can extend the lifespan of satellites that are running low on fuel, reaping additional years of service – and revenue – from their initial investment. If a solar array or a communications antenna fails to deploy, a servicer with inspection cameras and the right repair tools could help recover the asset that otherwise would have been lost. The loss of an anticipated revenue or data stream can be devastating."

Professor Russ Altman, left, and Professor Emeritus Yoav Shoham are members of a study group that will take a very long-term look at artificial intelligence. The two scientists were among the participants in a event looking at artificial intelligence's social benefits at Stanford on Thursday. As artificial intelligence emerges from science fiction to everyday life, the power to shape and direct this world-changing technology remains within society's reach. That overarching theme animated a crowd of more than 300 people at a Stanford event Thursday evening. The discussion was titled, "The Future of Artificial Intelligence: Emerging Topics and Societal Benefit."

The traditional definition of artificial intelligence is the ability of machines to execute tasks and solve problems in ways normally attributed to humans. Some tasks that we consider simple--recognizing an object in a photo, driving a car--are incredibly complex for AI. Machines can surpass us when it comes to things like playing chess, but those machines are limited by the manual nature of their programming; a 30 gadget can beat us at a board game, but it can't do--or learn to do--anything else. This is where machine learning comes in. Show millions of cat photos to a machine, and it will hone its algorithms to improve at recognizing pictures of cats.

It has been the dream of science fiction fans since they first saw Captain Kirk and Spock disappear from the deck of the Enterprise, only to reappear on a planet in a haze of light. Now scientists in Russia are on a mission to bring Star Trek-style teleportation to life as part of a multi-trillion Rouble research and development drive. Russian investors say the plan isn't as far-fetched as it may seem, with much of the common technology used today inspired by sci-fi of decades gone by. The Russian government could develop the technology by 2035 as part of a 2.1 trillion ( 1.4 trillion) research and development drive. Investors say the plan isn't as far-fetched as it may seem, with much of the common technology used today inspired by sci-fi of decades gone by.

MUNICH (Reuters) – Europe's growing army of robot workers could be classed as "electronic persons" and their owners liable to paying social security for them if the European Union adopts a draft plan to address the realities of a new industrial revolution. Robots are being deployed in ever-greater numbers in factories and also taking on tasks such as personal care or surgery, raising fears over unemployment, wealth inequality and alienation. Their growing intelligence, pervasiveness and autonomy requires rethinking everything from taxation to legal liability, a draft European Parliament motion, dated May 31, suggests. Some robots are even taking on a human form. Visitors to the world's biggest travel show in March were greeted by a lifelike robot developed by Japan's Toshiba and were helped by another made by France's Aldebaran Robotics.

The U.S. Defense Department's research and development arm is offering to fund projects that will simplify the massively complex task of building models for machine learning applications. Models are a fundamental part of machine learning. Similar to algorithms, they help teach computers to, say, identify a cat in a photo, forecast weather from historical data or sort spam from legitimate email. But writing the models takes time and requires many skills. Typically, data scientists, subject matter experts and software engineers all have to come together to develop the model. When New York University researchers wanted to model block-by-block traffic flow data for the city, it took 60 person-months of work by data scientists to prepare the data for use and an additional 30 person-months to develop the model.