You are free to share this article under the Attribution 4.0 International license. A new artificial intelligence system could help pathologists read biopsies more accurately, and lead to better detection and diagnosis of breast cancer, researchers say. Doctors examine images of breast tissue biopsies to diagnose breast cancer. But the differences between cancerous and benign images can be difficult for the human eye to classify. The new algorithm helps interpret them, and does so nearly as accurately or better than an experienced pathologist, depending on the task.

The Food and Drug Administration has to recall hundreds of foods every year. Like cookie snack packs with chunks of blue plastic hiding inside, Salmonella-tainted taco seasoning or curry powder laced with lead. It can take months before a recall is issued. But now researchers have come up with a method that might fast-track that process, leading to early detection and, ultimately, faster recalls. The system relies on the fact that people increasingly buy foods and spices online.

Illinois is attempting to stay at the forefront of legislating the interaction between employment and technology with the Artificial Intelligence Video Interview Act (Act), which the state legislature passed on May 29, 2019. The Act, which is effective Jan. 1, 2020, impacts an employer's ability to use artificial intelligence (AI) when hiring workers in Illinois. Under the Act, an employer using videotaped interviews when filling a position in Illinois may use AI to analyze the interview footage only if 1) the employer notifies the applicant that the videotaped interview may be analyzed using AI for purposes of evaluating the applicant's fitness for the position, 2) the employer provides the applicant with information about how the AI works and what characteristics it uses to evaluate applicants, and 3) the employer obtains consent from the applicant to use AI for an analysis of the video interview. Further, because audio will be recorded, the employer must obtain the consent of the applicant to videotape the interview with or without the use of AI. An employer is not required to consider an applicant who refuses to provide consent for the employer's use of AI to evaluate the candidate.

The World Economic Forum, best known for its glitzy annual conference in Davos, Switzerland, wants to help companies avoid the potential pitfalls that come with deploying artificial intelligence. Yes, A.I. promises to radically change how businesses operate by opening the door to innovations like driverless vehicles and robots that care for the elderly. But it could also exacerbate inequalities in society and lead to widespread job loss. The WEF's solution: A set of guidelines for corporate boards that spells out how companies can use A.I. responsibly. "We found a lot of boards didn't really understand A.I., and they were asked to make decisions about implementing A.I. in companies without any tools to do so," Kay Firth-Butterfield, the WEF's machine learning chief, told Fortune.

We live in a world where increasingly globalisation is under threat. The biggest threat comes from trade wars, started by Mr Trump, that could significantly harm the world economy. Last year already, the International Monetary Fund warned that Trump's trade war could cost the global economy $430 billion in 2020. As the IMF's report states, all countries will suffer, but the USA the most. Trade wars are bad for the global economy as, in the interconnected world that we live in, it will affect everyone; from small business to large conglomerates.

Fox News Flash top headlines for August 12 are here. Check out what's clicking on Foxnews.com A driver in Los Angeles has turned to a unique type of sign language to deal with the city's notorious traffic. The unidentified Lexus driver was spotted last week in Culver City holding a sign out of the window that said "Please let me in," as the turn signal indicated a lane change. The unique method was caught on camera and posted to YouTube by the driver of the car behind him, who wrote, "Saw this man with a 300000 IQ switching lanes."

File photo - M1A1 Abrams main battle tanks assigned to 3rd Battalion, 67th Armored Regiment, 2nd Armored Brigade Combat Team, 3rd Infantry Division stage prior to a tactical movement during Spartan Focus, at Fort Stewart, Ga. When dismounted U.S. Army infantry are attacking fortified enemy positions, taking hostile fire and moving quickly to find the best points for continued assault -- "battery life" can determine mission success or failure and even -- life or death. Units of forward positioned Army soldiers may not have quick access to battery recharging and may, therefore, depend entirely upon the functionality of their batteries - needed to power night vision, radios, small soldier-worn sensors, portable laptops for drone control and other combat-essential items. Without the requisite battery power to advance, soldiers might be forced to retreat or, of even greater consequence, become far more vulnerable to enemy fire. It goes without saying that attacking soldiers, especially those on the move on foot, need lightweight, electrically powered equipment for communications, data sharing, enemy tracking, targeting and some weaponry.

The Product Owner will be responsible for the continuous success and evolution of our new Nutrition Club App. One of our most successful operating models requires the best application to work with; this person will be the person responsible for the direction of this tool within the US market. This person will be the linchpin between product-creation teams (including disciplines like digital, analytics, and operations) and business. He or she will be a key decision maker who guides the product roadmap, and represents the voice of our Independent Distributors. The Product Owner will understand the latest practices in customer research, design thinking, business strategy, and technical architecture, and consolidate it in a final product while making critical decisions that influence key stakeholders. This person must be able to absorb bite-size content, review the latest industry thinking and embrace "nudge" techniques for real-time behavior change.

LAST WEEK The INQUIRER travelled to CERN in Switzerland to see the Large Hadron Collider and learn more about the IT that makes particle physics tick. In the first of our reports from the legendary laboratory we talk to professor Michael Feindt, former CERN researcher and founder of Blue Yonder, the predictive analytics software that spun out of CERN and that still powers some of its work. Predictive analytics is a form of machine learning. Professor Feindt's work uses neural networks, a term that conjures up images of the type of domesticated synthetic intelligences that have been such a hit for Channel 4 with its sci-fi drama Humans. However, although machine learning is advancing, it's a long way from the artificial intelligence (AI) we imagine.

This ebook, based on the latest ZDNet / TechRepublic special feature, looks at how the industry cloud has taken off and big businesses have been built by the likes of Veeva, Rootstock and others. Hospitals and health systems are using cloud services to power a digital transformation, but pharmaceutical companies are using the cloud to revamp their business operations in even more fundamental ways. Computational drug discovery uses a combination of cloud computing and artificial intelligence to make the drug development process faster and cheaper. The big drug companies are taking advantage of improvements in AI and the computational power of the cloud to test this new approach. Pharma companies are using this tech-driven process to develop traditional medications as well as completely new categories that work at the level of DNA and RNA to stop disease. Hyperscale cloud providers are vital new partners in this form of drug development.