A group of researchers from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) have developed a way to train artificial intelligence to read and interpret pathology images. Scientists tested the artificial intelligence (AI) during a competition at the annual International Symposium of Biomedical Imaging, where it was tasked to look for breast cancer in images of lymph nodes. It turns out it can detect breast cancer accurately 92 percent of the time and won in two separate categories during the contest. Andrew Beck from BIDMC says they used the deep learning method, which is commonly used to train AI to recognize speech, images and objects. They fed the machine with hundreds of slides marked to indicate which parts have cancerous cells and which have normal ones.

Washington (AFP) - If it has to make a choice, will your autonomous car kill you or pedestrians on the street? The looming arrival of self-driving vehicles is likely to vastly reduce traffic fatalities, but also poses difficult moral dilemmas, researchers said in a study Thursday. Autonomous driving systems will require programmers to develop algorithms to make critical decisions that are based more on ethics than technology, according to the study published in the journal Science. "Figuring out how to build ethical autonomous machines is one of the thorniest challenges in artificial intelligence today," said the study by Jean-Francois Bonnefon of the Toulouse School of Economics, Azim Shariff of the University of Oregon and Iyad Rahwan of the Massachusetts Institute of Technology. "For the time being, there seems to be no easy way to design algorithms that would reconcile moral values and personal self-interest -- let alone account for different cultures with various moral attitudes regarding life-life tradeoffs -- but public opinion and social pressure may very well shift as this conversation progresses."

Elon Musk keeps warning us that artificial intelligence is a real threat, but he's also contributing to the evolution of machines. Sure, he might not be doing the real coding, but the smart Tesla cars that will be able to drive themselves around town in the following years will have to be programmed to handle a particular type of emergency: hitting a pedestrian or saving the lives of the passengers inside the vehicle. DON'T MISS: Galaxy Note 7 shaping up to be Samsung's most powerful smartphone yet Tesla and other carmakers are already working on self-driving cars, but autopilot features are yet to be finalized – or completely safe. Even if driverless cars would be readily available to buyers, the legal framework that would allow such machines to operate on public roads isn't there yet. That means self-driving vehicles aren't legal as long as they're not regulated. Overall, self-driving cars are supposed to increase the safety of everyone on the road, and minimize the risk of accident.

Elon Musk keeps warning us that artificial intelligence is a real threat, but he's also contributing to the evolution of machines. Sure, he might not be doing the real coding, but the smart Tesla cars that will be able to drive themselves around town in the following years will have to be programmed to handle a particular type of emergency: hitting a pedestrian or saving the lives of the passengers inside the vehicle. DON'T MISS: Galaxy Note 7 shaping up to be Samsung's most powerful smartphone yet Tesla and other carmakers are already working on self-driving cars, but autopilot features are yet to be finalized – or completely safe. Even if driverless cars would be readily available to buyers, the legal framework that would allow such machines to operate on public roads isn't there yet. That means self-driving vehicles aren't legal as long as they're not regulated.

The Mill's Blackbird is a fully adjustable car rig used to create photorealistic CG vehicles. VP of Advanced Manufacturing Technologies advises on budgeting, partnerships and common mistakes for SMES. BREAKING: What Does Brexit Mean for UK Manufacturing? Proposes Cloud Robotics for 3D Print Farm Automation Tesla Motor Company wants to purchase SolarCity. Here are some ways that such a merger could affect the solar industry.

Silent Hill composer Akira Yamaoka and one half of the two-man studio behind PlayStation-exclusive Sound Shapes, Shaw-Han Liem are scheduled to perform as well. If none of those names make you want to book a flight to Kyoto, Japan maybe, just maybe word that Seaman creator Yoot Saito will be in attendance too. Once again, Indie Megabooth is helping organize the event and it all goes down July 9th and 10th. When our own Jessica Conditt spoke with Indie Megabooth's President and CEO Kelly Wallick last year, Wallick said of BitSummit that it had "a tremendous impact on how not only local developers see their own community, but how the greater international community does as well."

Machine-learning algorithms are ubiquitous these days. Technology giants like Netflix Inc., Amazon.com Inc. and Google Inc. use them to suggest items customers might like based on their past browsing. Scientists use them to identify gene mutations associated with treatment resistance or amenable to targeted drug therapy. And doctors use them for image classification, early disease detection and better treatment outcomes. These algorithms can improve quality of life and can even help save lives.

Google has released a paper on AI safety in collaboration with researchers from Stanford University, University of California, Berkeley and OpenAI.

Researchers have developed a series of AI-based systems that can interpret pathology images and identify the presence and absence of metastatic cancer. The AI systems could lead to new and improved diagnostic methods and treatment. A group of researchers from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School in Boston have teamed up to develop new diagnostic methods based on artificial intelligence (AI). Humayun Irshad, PhD research fellow at Harvard Medical School and one of the lead authors on the research, says that their group is using all kinds of different computational methods to improve diagnostic techniques. "We are developing robust and efficient computational methods to improve diagnostic and prognostic assessment of pathological samples," Irshad says.

Machine learning started out as the idea of giving a machine human intelligence. The discipline was originally intertwined with artificial intelligence (AI), as scientists wove together the fields of computer science, mathematics, statistics, probability, expert systems and neural networks. The original benchmark for machine learning and artificial intelligence was the Turing Test, created by British mathematician and computer scientist Alan Turing. "A computer was said to be able to'thin' if a human interrogator could not tell it apart, through conversation, from a human being". Since then, machine learning has been reorganized as a separate field from AI, with the aim of finding solutions to solvable problems using methods based in statistics and probability theory.