From cars to planes, the future of transportation is already here--and is changing rapidly. Software engineering is increasingly central to both the development and maintenance of all kinds of vehicles. That means more people need to start thinking like systems engineers. Dale Tutt, vice president of aerospace and defense industry for Siemens Software, says this means companies must offer more training and planning for those designing and developing vehicles of the future. "As you try to address the talent gap, there's a lot you can do to help make the tools easier to use. By better integrating the tools and by bringing in technologies like AI to help automate the generation of different design concepts and the analysis of those concepts using simulation tools, you can extend the capabilities of the system so that it helps empower your engineers," says Tutt. "Companies that are the most successful at adopting systems engineering are doing it because systems engineering, and the tools being used are becoming almost like the DNA of their engineering organization. Everyone is starting to think a bit like a systems engineer, even in their normal job. The tools and the ecosystem that you use to do systems engineering has a large role in facilitating adoption." Nand Kochhar, the vice president of automotive and transportation for Siemens Software, says a systems engineering approach can extend more broadly, as engineers think about how cars and vehicles connect to everything else in their environments. "In a smart city, the system has become the city itself. Take a vehicle in the city, for example. The definition of the system has moved from the single vehicle to include the flow of traffic in the city and to how the traffic lights operate. You can extend that expansive ecosystem to other aspects like building management, for example, into the smart city environment," he says.

Artificial Intelligence and machine learning have added a whole new scope for actuaries. But, it almost seems like there could be a bit of a conflict in terms of AI taking over some of what actuaries do. We caught up with Ronald Richman, chief actuary at Old Mutual Insure to get his opinion and insight into the relationship between AI and actuaries and the regulatory environment around the use of AI.

Craig Mermel is currently the Research Lead in Pathology at Google Health where he leads a team focused on accelerating the application of machine learning for improved diagnosis of important human diseases, especially cancer. Prior to joining Google, Craig worked at Apple on the Apple Watch and related health initiatives. Mermel completed a joint MD/PhD training at Harvard Medical School, where he developed novel statistical methods for mining the cancer genome for his PhD dissertation. He conducted residency training in Clinical Pathology at Massachusetts General Hospital and is board-certified in Clinical Pathology. What initially sparked your interest in medicine and subsequently, AI in medicine? As a child, I was always interested in mathematics. I thought it was a lot cooler than science, so I dreamt of becoming a mathematician or a code breaker. When I was a high school freshman, we had a chemistry teacher who was this amazing human being, a cancer survivor who taught me to appreciate science. He was the one who opened my door to this amazing yet mysterious subject.

The next wave of aerospace is just around the corner, and a lot of that innovation is happening thanks to new, faster methods of development. "What's happening now is that companies are trying to understand how they take the lessons from Agile software development and apply those to Agile product development," explains Dale Tutt, vice president of Aerospace and Defense Industry for Siemens. With Agile software development, you can build software and test it relatively quickly. "When you start talking about an airplane or an air taxi," Tutt says, "it's expensive to build a prototype and test them, so you have to think about it in a different way and take a different approach. It really takes good program planning." This new type of product development, where planes and other kinds of air transport are developed faster than ever, still needs to incorporate safety as a top priority, which creates new kinds of challenges. These kinds of products are different than smartphones or other consumer electronics, Tutt explains. "Part of it is driven by the safety and reliability you want to have--so that when you're flying around, you can safely operate the vehicle. There's a certain amount of durability and reliability that's built into the design of the product. The amount of investment that these companies or that an individual would make in buying one of these aircraft means there's an expectation that it's going to last a while, and that you're going to have value in that asset. It's a little bit different than some of the consumer goods that we buy, and it's more expensive to repair them than it is to replace them."

Kirk Borne is the Chief Science Officer at AI startup DataPrime. He is also the founder and sole owner of Data Leadership Group LLC. He has been nominated for a 2021 Noonies award for Data Science Influencer of the Year. Borne believes edge intelligence (that's edge computing with AI) is the most exciting technology of the present age. I believe that data science is not a math skill, but a life skill.

Omnia's Trustworthy AI Module, Deloitte's unique artificial intelligence evaluation technology, has been recognized as'Digital Innovation of the Year' at the Digital Accountancy Forum and Awards 2021 in London earlier this week. This marks the second consecutive year Deloitte has garnered top honors for delivering innovative and disruptive technologies by The Accountant and International Accounting Bulletin. It also marks the fourth time Deloitte has won the award overall. Omnia DNAV, a digital cloud-based solution that revolutionizes the audit of securities and investments, was honored with the award in 2020. Deloitte won the 2018 'Audit Innovation of the Year' for its audit-transforming Cortex data platform and in 2015 for functionality using artificial intelligence that quickly identifies, extracts, and analyzes information across an entire population of documents.

No-code AI solutions are helping more businesses to get started on their AI journeys than ever. AI News caught up with Stefano Somenzi, CTO at Athics, to get his thoughts on no-code AI and the development of virtual agents. AI News: Do you think "no-code" will help more businesses to begin their AI journeys? Stefano Somenzi: The real advantage of "no code" is not just the reduced effort required for businesses to get things done, it is also centered around changing the role of the user who will build the AI solution. "No code" means that the AI solution is built not by a data scientist but by the process owner.

Neurosurgeon Michael Fehlings specializes in complex spine surgery and is the Vice Chair Research for the Department of Surgery at the University of Toronto and Co-Director of the University of Toronto Spine Program. We caught up with him to learn more about where the use of Artificial Intelligence (AI) in neurosurgery could be heading in the future. What inspired you to specialize in neuroscience and spinal cord injuries? I first became intrigued with serious disorders of the brain because my grandfather sustained multiple strokes. I saw the impact that brain disease had on him and it robbed him of his language. When I went to medical school I was fascinated with brain disorders and I felt that neurosurgery provided practical solutions to help people like my grandfather.

DeepBrain AI is proud to announce that it has been named a CES 2022 Innovation Awards Honoree for its AI Studios script to video solution in'Streaming' category. This year's CES Innovation Awards program received a record high number of over 1800 submissions. The announcement was made ahead of CES 2022, the world's most influential technology event, happening Jan. 5-8 in Las Vegas, NV and digitally. The CES Innovation Awards program, owned and produced by the Consumer Technology Association (CTA), is an annual competition honoring outstanding design and engineering in 27 consumer technology product categories. An elite panel of industry expert judges, including members of the media, designers, engineers and more, reviewed submissions based on innovation, engineering and functionality, aesthetic and design.

Slate has relationships with various online retailers. If you buy something through our links, Slate may earn an affiliate commission. We update links when possible, but note that deals can expire and all prices are subject to change. All prices were up to date at the time of publication. I've always been a bit frazzled by what it takes to keep up a home especially when I like mine to be as close to sterile as possible. But maintaining a minimalist, clean look isn't easy when you work a full-time job and have other demands outside of caring for your home.