Telco equipment maker Nokia, Japanese telco NTT DoCoMo, and industrial automation company Omron have agreed to conduct 5G trials at their plants and production sites. As part of the trial, the trio will look to couple 5G and artificial intelligence together to create "real-time coaching" for workers. "Machine operators will be monitored using cameras, with an AI-based system providing feedback on their performance based on an analysis of their movements," Nokia said in a statement. "This will help improve the training of technicians by detecting and analysing the differences of motion between more skilled and less skilled personnel." The trial will also test how reliable 5G is when the movement of people and background noise from machinery is involved.

Universal mCloud is creating a more efficient future with the use of AI and analytics, curbing energy waste, maximizing energy production, and getting the most out of critical energy infrastructure. Through mCloud's AI-powered AssetCare platform, mCloud offers complete asset management solutions to three distinct segments: smart facilities, power generation, and process industries including oil and gas. IoT sensors bring data from connected assets into the cloud, where AI and analytics are applied to maximize their performance. Headquartered in Vancouver, Canada with offices in locations worldwide including Calgary, San Francisco, and Beijing, the mCloud family includes an ecosystem of operating subsidiaries that deliver high-performance IoT, AI, 3D, and mobile capabilities to customers, all integrated into AssetCare. With over 100 blue-chip customers and more than 35,000 assets connected in thousands of locations worldwide, mCloud is changing the way energy assets are managed.

On the one hand, autonomous vehicles offer an excellent opportunity to rethink how American cities operate, down to each lane line, crosswalk, and curb. Two years ago, the National Association of City Transportation Officials, representing 81 North American cities, published its first planning guide to self-driving vehicles, highlighting the possibilities. If everyone moves around on electric-powered transit and robotaxis, no one needs to own a car. No one needs to park a car. So that first version outlined an elegant--albeit fanciful--vision of the cities of the future.

Experts have warned that an "arms race" is underway as countries try to use artificial intelligence to boost cyber security skills. "Whoever masters artificial intelligence will dominate the world in the future", a senior NATO cyber defence official told the DSEI 2019 conference in London. The official called on policymakers to pursue the technology and not be caught up in ethical debates over autonomous weapons systems and so-called killer robots. "There will be killer robots out there not bound by morality, ethics, or law," he said. Retired US Navy Vice Admiral Jan Tighe, who served as director of naval intelligence and was the former deputy chief for information warfare, also warned that developments in AI and cyber warfare will pose significant new challenges to security across the world.

Experts have warned that an "arms race" is underway as countries try to use artificial intelligence to boost cyber security skills. "Whoever masters artificial intelligence will dominate the world in the future", a senior NATO cyber defence official told the DSEI 2019 conference in London. The official called on policymakers to pursue the technology and not be caught up in ethical debates over autonomous weapons systems and so-called killer robots. "There will be killer robots out there not bound by morality, ethics, or law," he said. Retired US Navy Vice Admiral Jan Tighe, who served as director of naval intelligence and was the former deputy chief for information warfare, also warned that developments in AI and cyber warfare will pose significant new challenges to security across the world.

There are two conferences coming up that AI developers, executives, and investors should consider attending to get the latest from the industry's leaders and challengers. I will attend both and I hope to see many of my readers there! Let's take a closer look at what's in store. The first event is the second annual US AI HW Summit, which takes place at the Computer History Museum in Mountain View, CA, September 17-18. Last year's inaugural event sold out, and I expect to see the venue at full capacity this year since the agenda looks pretty exciting.

If artificial intelligence came to life today and set up a facebook profile, it would have a relationship with all of us, and our relationship status would be "It's Complicated". Although we don't see the motivation or reasoning behind the algorithms we spend so much time with, they are doing great things for us, and so we love them. Unfortunately, we don't necessarily understand them or how they will change us. By we, I don't just mean the general public. I mean software developers, their managers, and even machine learning engineers. AI does some things well and some things poorly, but on balance, the benefits exceed the costs of having an algorithm making decisions.

Last year the annual artificial intelligence conference NeurIPS invited 230 researchers from Africa to attend a "Black in AI" workshop in Montreal. It was a great opportunity to bring some diversity to the field of AI. Sadly, however, the Canadian government denied visas for about a third of the Africans invited to the workshop. Many others were unable to attend because the Canadian government took too long to process their visas. The Partnership on AI--a group founded by Amazon, Facebook, Google's DeepMind subsidiary, Microsoft, and IBM--contends that these sorts of visa issues are a threat to the development of AI.

Advancements in technologies such as machine learning and artificial intelligence are growing in the workplace – to the benefit of employees who are able to work more efficiently and intelligently than ever before. Dr. Davide Zilli, Director of Client Services at Mind Foundry, in a guest post explains how these tools are helping reduce time-consuming tasks, freeing up human expertise to be used where it is most effective. We categorize the University of Oxford Spin-out in the future of work category – especially with regards to the democratization of AI. Machine learning is designed to take over the manual and repetitive processes, enabling employees to focus on the more rewarding results of model building and analyzing data. This is exactly where the right tools can help staff members focus on what they really want to do – getting their teeth into meaningful data.

Rachelle Dene Poth is a foreign language and STEAM teacher at Riverview Junior/Senior High in Oakmont, Pennsylvania. Over the past year, I have focused on learning more about artificial intelligence. I thought I understood the meaning of AI. In early 2018, I noticed that AI was becoming an increasingly popular topic of discussion in the blogs that I was reading and in social media posts. When I first started thinking of AI, I had a flashback to the 2004 movie I, Robot, which starred Will Smith.