"I think, initially, Ubisoft approached me because of my electronic music background – my live career, my albums, my touring. But I didn't know if I was the right person for the job, you know?" Composer Brendan Angelides has never worked in video game music before. You might know him better as Eskmo or Welder, or perhaps as the mind behind the music of TV shows 13 Reasons Why or Billions. When Ubisoft approached him to be the composer for its sort-of reboot of the Assassin's Creed franchise, Mirage, he had doubts. The game is set at the height of the Islamic golden age, and centres around Baghdad: a hub flowing with the lifeblood of a changing world, a cultural centre of art and science, old and new.

Open Source Software (OSS) is a proven model that delivers tangible benefits to businesses, including improved time-to-market, reduced costs, and increased flexibility. OSS is pervasive in the technology landscape and beyond it, with adoption across multiple industries. In a 2022 survey by Red Hat, 95 percent of IT leaders said they are using open source in their IT infrastructure, which will only increase. Artificial intelligence (AI) is no different from any other technology domain where OSS dominates. In a recent paper published by Linux Foundation Research, written by Dr. Ibrahim Haddad, General Manager of the LF AI & Data Foundation, over 300 critical open source projects have been identified offering over 500 million lines of code, contributed by more than 35,000 developers who work side by side to advance the state of technology in an open, collaborative, and transparent way. As with other industries, OSS adoption in the AI field has increased the use of open source in products and services, contributions to existing projects, the creation of projects fostering collaboration, and the development of new technologies due to this amazing success story.

Leaders from Europe and the US convened to explore exciting leaps forward of AI in oncology at the HIMSS21 & Health 2.0 European Health Conference, though the panel highlighted key barriers to greater acceptance and adoption of AI into mainstream care. The'New Frontiers of AI and Data Analytics in Oncology' session, moderated by Professor Karol Sikora, chief medical officer, Rutherford Health and former chief of the Cancer Programme, WHO, also saw leaders share innovative applications for AI used across the cancer pathway. The panel of experts also included Professor Barbara Alicja Jereczek-Fossa, associate professor of Radiation Oncology, University of Milan and head of Radiotherapy Division, European Institute of Oncology, and her colleague, Eng. Joining from the US was Dr Tufia Haddad, chair of Digital Health, Department of Oncology, Mayo Clinic and chair of Practice Innovation and Platform, Mayo Clinic Cancer Center. While AI is already widely used in oncology in image analysis and other areas, exciting new applications are being trialled at leading cancer centres across the globe.

The COVID-19 pandemic has dramatically altered the shape of healthcare around the country, including when it comes to priorities around incorporating artificial intelligence and machine learning into a system's landscape. But the need for clinical research has not slackened amid the crisis. In fact, the pandemic demonstrates how solid foundational work to implement AI and ML into workflows can be beneficial – and even crucial – both for solving short-term, urgent issues and for planning longer-term strategies. Experts at the Mayo Clinic say AI and ML are powerful tools for clinical research and care. "Rather than thinking of AI/ML in medicine as'man vs. machine,' we like to think of it as (wo)man with machine," said Dr. Tufia Haddad, a medical oncologist at the Mayo Clinic, in an interview with Healthcare IT News.

Legaltech news recently explored findings of the American Bar Association's Legal Technology Survey Report, which showed hesitancy – particularly among smaller firms – to adopt artificial intelligence (AI) tools. Accuracy and reliability were survey respondents' top two concerns around AI. Their reluctance to embrace new technologies may be understandable. New tools can be intimidating, especially for leaders of small firms and solo practices who – like most lawyers – don't have backgrounds in technology or science. Yet small firm leaders arguably stand to benefit the most from new technologies like AI, which can help them manage their practice and business more efficiently and effectively. The day-to-day challenges of practicing law in small firms – from business development to spending too much time on administrative tasks – are precisely those that AI and legal tech can address. These challenges and other issues, along with some suggested guidance on a path forward are discussed in the 2019 State of the U.S. Small Law Firms Report.

A staff member stands near a computer as it participates in the CHAIN Cup at the China National Convention Center in Beijing. A computer running artificial intelligence software defeated two teams of human doctors in accurately recognizing maladies in magnetic resonance images on Saturday, in a contest that was billed as the world's first competition in neuroimaging between AI and human experts. While the hip, ubiquitous business buzzwords are cryptocurrency and blockchain, the truly formidable factor of what is being called the fourth industrial revolution is Artificial Intelligence. Whether praised as a panacea for greater business efficiency or the feared as the demise of humanity, Artificial Intelligence is upon us and will impact business and society at large in ways that we can only begin to imagine. Here's what a few influencers in the arena say is on tap for 2019. First, Ibrahim Haddad, Director of Research at The Linux Foundation says that there are two key areas to watch.

My name is Kris Coratti. Thank you for joining us on this very rainy morning. I'm glad you all made it out. We are going to have a fascinating series of discussion this morning on artificial intelligence. This is the latest in our ongoing event series that we call "Transformers." And our speakers this morning are going to explore the regulatory questions around this technology. They going to look at how AI is reshaping the way we live and work. And they're going to discuss how to make sure this technology is used responsibly in the future. Before we begin, I just want to quickly thank our presenting sponsor for this even, Software.org, And so now I'd like to go ahead and welcome to the stage The Washington Post's Tony Romm and Senators Maria Cantwell and Todd Young. And for those who don't know, Senator Cantwell is a Democrat from Washington State. Both are members of a Senate commerce committee which touches on artificial intelligence and many tech issues that we'll talk about today.

During the latest edition of its annual WWDC event, Apple made important strides to show developers and creators that it is finally getting serious about artificial intelligence. The company announced its all-new Core ML framework specifically designed to enable developers to build smarter apps by embedding them with on-device machine learning capabilities. But it seems the new system still has some learning to do. Toying around with the Core ML beta, developer Paul Haddad took to Twitter to showcase how well the framework handles computer vision tasks. Using the new built-in screen recording tool, Haddad tested the capacity of Core ML to identify and caption objects in real-time.

Hospitals have an understandable goal for their intensive care units: to reduce "dead in bed" events. With streams of data coming from equipment that monitors patients' vital signs, the ICU seems the perfect setting to deploy artificially intelligent tools that could judge when a patient is likely to take a turn for the worse. "A lot of hospitals are interested in developing early warning systems that can predict life-threatening events like sepsis, cardiac arrest, and respiratory arrest," says Priyanka Shah of the ECRI Institute, a nonprofit that evaluates medical procedures, devices, and drugs for the health care industry. Both academic researchers and medical device companies are now trying to figure out which combinations of measurements can provide the best indication of patient deterioration, Shah says. Once that technical challenge is met, researchers will still have to prove "clinical relevance," she says--not just proof that the technology works, but also that it can be integrated into a hospital's workflow and that it will save money.

IBM CEO Ginni Rometty gave a powerful keynote address at the annual HIMSS meeting in Orlando that kicked off Monday describing humanity as on the cusp of ushering in a new cognitive era. She was careful to characterize artificial intelligence in healthcare as merely augmenting the intelligence of doctors and not replacing it. Many will be rightly skeptical -- radiology is a field that is bound to feel some pain as machines learn to read medical images quickly and more comprehensively than humans -- but for now let's highlight the clear benefits. Specifically, the ones that Mayo Clinic is experiencing. At a panel discussion on the impact of AI in healthcare, the venerable institution's chief information officer and a breast cancer oncologist were on hand to describe AI in action.