The physicians providing their patients with artificial intelligence predictions must make sure that the patients are thoroughly educated about the various pros and cons of the forecast. AI promotes the welfare of patients, but doctors must also recognize its risks and then proceed with caution. FREMONT, CA: The usage of artificial intelligence (AI) in medicine is creating great enthusiasm and hope for the advancement of treatment in the future. For example, scientists are using machine learning to develop a tool that will help them make decisions for cancer treatment. They hope that the computers will be able to analyze radiological images and recognize the cancerous tumors that will respond to chemotherapy and the ones which will not. Having said this, the use of AI in the medical sector can also raise many legal and ethical challenges.

IBM Watson Health announced yesterday at the Intelligent Health 2019 summit on AI in Basel that it has signed a partnership with the university hospital in Geneva (Hôpitaux universitaires de Genève, HUG) to implement and use IBM's Watson for Genomics, making it the first university hospital in Switzerland and Europe to use the tool. IBM Watson for Genomics will empower oncologists in Geneva to come up with better-informed diagnoses faster. Deploying information extracted from peer-reviewed articles and validated by experts, the solution generates a report for clinicians that matches genetic alterations in a patient's tumour with the most relevant therapies and clinical trials. In 1950, it took about 50 years for it to double, and there are estimates reckoning that by 2020 this will have come down to three months. This makes it impossible for clinicians to stay on top of current research.

The Air Force has released an artificial intelligence strategy intended to focus the service's budget planning, adoption of data and commercial partnerships for a future in which AI-enabled capabilities transform the conduct of war. The 2019 Air Force Artificial Intelligence Annex to the Defense Department AI Strategy, obtained by Inside Defense, follows a directive in President Trump's executive order on AI for each of the military services to "respond with tangible deliveries into future years planning," according to...

The Naval Facilities Engineering and Expeditionary Warfare Center (NAVFAC EXWC) is a command of more than 1,100 dedicated men and women who provide specialized facilities engineering, technology solutions, and life-cycle management of expeditionary equipment to the Navy, Marine Corps, federal agencies, and other Department of Defense supported commands. For details about opportunities to participate as a sponsor or exhibitor, please contact: Bill Simmons (805) 351-9429 • BSimmons@iprise.com

In Artificial Unintelligence: How Computers Misunderstand the World, Meredith Broussard adds to the growing literature exploring the limits of artificial intelligence (AI) and techno-solutionism, furthermore showing how its socially-constructed nature replicates existing structural inequalities. Calling for greater racial and gender diversity in tech, the book offers a timely, accessible and often entertaining account that sets the record straight on what current approaches to AI are and are not capable of delivering, writes Nikita Aggarwal. This post originally appeared on LSE Review of Books. If you would like to contribute to the series, please contact the managing editor of LSE Review of Books, Dr Rosemary Deller, at lsereviewofbooks@lse.ac.uk. You don't need to speak Italian to know that something's not quite right.

Jimmy Gomez is a California Democrat, a Harvard graduate and one of the few Hispanic lawmakers serving in the US House of Representatives. But to Amazon's facial recognition system, he looks like a potential criminal. Gomez was one of 28 US Congress members falsely matched with mugshots of people who've been arrested, as part of a test the American Civil Liberties Union ran last year of the Amazon Rekognition program. Nearly 40 percent of the false matches by Amazon's tool, which is being used by police, involved people of color. This is part of a CNET special report exploring the benefits and pitfalls of facial recognition.

On Friday, September 6, 2019, Secretary of Energy Rick Perry announced the formal establishment of DOE's Artificial Intelligence and Technology Office. Chief Technology Officer of the United States, Michael Kratsios: "Under Secretary Perry's leadership, the Department of Energy is critical to our Nation's success in the development and application of artificial intelligence. I commend the Secretary for establishing the Artificial Intelligence and Technology Office to coordinate DOE's vast AI efforts and carry out the mission of the Trump Administration's national strategy for American leadership in AI." Representative Bill Foster (D-IL): "Developments in artificial intelligence are at the forefront of technological innovations that are changing our country and our world. The Department of Energy and our world-class national laboratories are leading the way, including in the district I represent, where Argonne National Laboratory is building the world's most advanced supercomputer to power the use of AI for everything from responding to climate change, to fighting cancer, and ensuring our nation's security. DOE's new Artificial Intelligence and Technology Office will play a crucial role in coordinating the work being done in AI and provide support for the researchers across DOE who are on the frontlines of this transformative work. I applaud Secretary Perry for continuing DOE's long history of scientific leadership by establishing this new office, and I look forward to working in Congress to support AITO's work, as well as the continued technological leadership of our national labs."

Those who raise questions about Africa's preparedness for the fourth industrial revolution should look no further than the continent's young entrepreneurs, transcending tough resource constraints to lead a burgeoning AI startup ecosystem. Studies show that young people are more enthusiastic about technology. With the youngest and fastest-growing population on earth (Africa has a median age of 19 years compared to Europe's 41.8 years), there could be no better time for Africa than now. Young people in Africa are rising above infrastructure and resource constraints to create ingenious processes to adopt and apply the fourth industrial revolution technologies like artificial intelligence (AI) to generate more value for their localities. Since we founded the Alliance for Africa's Intelligence (Alliance4ai) one year ago, we have interacted with more than 100 AI startups to learn about their work and support them with a platform where they exchange knowledge and opportunities with students, schools and other players in the ecosystem.

Researchers argue global warming boosts population and insect appetite, and fastens the metabolic rate of insect pests, thereby causing them to consume more. It is estimated that with a 2 rise in temperature, insect pests could destroy maize--Africa's most essential food crop--by as much as 30% more than they do today.

New deep learning models predict the interactions between atoms in organic molecules. These models, which were generated using supercomputers at the San Diego Supercomputer Center and the Los Alamos National Laboratory, help computational biologists and drug development researchers better understand and treat disease. According to a release issued earlier this month by the Los Alamos National Laboratory (LANL), researchers have developed a machine learning approach called transfer learning that lets them model novel materials by learning from data collected about millions of other compounds. The new approach can be applied to new molecules in milliseconds, enabling research into a far greater number of compounds over much longer timescales. The new technique, called ANI-1ccx potential, promises to advance the capabilities of researchers in many fields and improve the accuracy of machine learning-based potentials in future studies of metal alloys and detonation physics.