Webcast You've finally worked out how to make a latte at least almost on par with the coffee shop opposite the office. However, no matter how in control you're starting to feel during this pandemic lockdown, your 9am is still a mess of access rights conflicts, broken connections, and emails fired into the void of an overworked, remote IT help desk. Few businesses were able to make the fast transition from controlled office environments to dining room tables while keeping security tight without stifling productivity. Join The Register's Tim Phillips and BlackBerry for our next webcast, on April 29, 2020 at 1100 BST, as the enterprise security giant digs into how artificial intelligence can provide threat prevention and protection for remote workers. BB's Stuart Jackson and James Alderman will be on hand to help you chart a clear pathway to good cyber security at home.

We may not be living on Mars or traveling to work using jet packs, but there's no doubt the coming decade will bring many exciting technological advances. In this article, I want to outline the 25 key technology trends that I believe will shape the 2020s. The increasing ability of machines to learn and act intelligently will absolutely transform our world. It is also the driving force behind many of the other trends on this list. This refers to the ever-growing number of "smart" devices and objects that are connected to the internet.

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Health care workers are not the only unwilling essential services frontline workers at increased risk of COVID-19. According to the Washington Post on April 12, "At least 41 grocery workers have died of the coronavirus and thousands more have tested positive in recent weeks". At the same time, grocery stores are seeing a surge in demand and are currently hiring. The food industry is also seeing increasing adoption of robots in both the back end supply chain and in the food retail and food service sectors. "Grocery workers are risking their safety, often for poverty-level wages, so the rest of us can shelter in place," said John Logan, director of labor and employment studies at San Francisco State University. "The only way the rest of us are able to stay home is because they're willing to go to work."

The AI engine supports a self-operating building that requires no human intervention. What inspired you to launch BrainBox AI? My journey into HVAC technology began while working on energy efficiency projects throughout North America and Europe. During this stage of my life, I dealt with the technology in a plethora of buildings. These were buildings of different sizes and purpose, anything from hotels all the way to data centers. It quickly became apparent to me that continuous commissioning approaches would generate consistent energy savings but would require extensive amounts of both financial and human capital.

Best listening experience is on Chrome, Firefox or Safari. This week on Fed Access, Yuna Huh Wong, a research analyst at the Rand Corporation, joins host Derrick Dortch to discuss how artificial intelligence and the use of autonomous unmanned systems could impact future military crises and conflicts around the world. Wong is one of the co-authors of a Rand report titled: "Deterrence in the Age of Thinking Machines", which examines the role these systems would play in the decision making process of military leaders. She discusses the report's findings including whether the increased use of these systems could lead to inadvertent escalations in hostilities or serve as a deterrent. Insight by CenturyLink: GSA, Export-Import Bank and National Science Foundation address modernizing federal networks in this free webinar.

Researchers demonstrated the mathematical impossibility of representing social networks and other complex networks using popular methods of'low-dimensional embeddings.' Models and algorithms for analyzing complex networks are widely used in research and affect society at large through their applications in online social networks, search engines, and recommender systems. According to a new study, however, one widely used algorithmic approach for modeling these networks is fundamentally flawed, failing to capture important properties of real-world complex networks. "It's not that these techniques are giving you absolute garbage. They probably have some information in them, but not as much information as many people believe," said C. "Sesh" Seshadhri, associate professor of computer science and engineering in the Baskin School of Engineering at UC Santa Cruz. Seshadhri is first author of a paper on the new findings published on March 2, 2020, in Proceedings of the National Academy of Sciences.

Across all medical disciplines, artificial intelligence and machine learning will transform medicine beyond most people's imagination. Algorithms that help evaluate radiological images are just the beginning. AI could become an indispensable tool in all branches of medicine. The topic is also currently being addressed at the political level. China presented its Next Generation Artificial Intelligence Development Plan as far back as July 2017.

The concern of machine ethics and laws spills into the everyday workings of society, not just the domain of defense. Many concepts revolve around the law of armed conflict, societal law, ethical dilemmas, psychological concepts and artificially intelligent cyber systems, as well as their relationships among each other. In addition to the delineation of machine ethic guidelines, an ethical life cycle is necessary to account for changes over time in national circumstances and personal beliefs. Just recently, the Defense Innovation Board, which serves as an advisory board to the Pentagon, met and published ethical guidelines in designing and implementing artificially intelligent weapons. Artificial intelligence (AI) systems in the Defense Department must satisfy the conditions of responsibility, equitability, traceability, reliability and governability.

The government's Integrated Review comes at a time of considerable technological change. The UK has entered a'Fourth Industrial Revolution' (4IR), which promises to'fundamentally alter the way we live, work, and relate to one another'. This new era will be characterised by scientific breakthroughs in fields such as the Internet of Things, Blockchain, quantum computing, fifth-generation wireless technologies (5G), robotics, and artificial intelligence (AI), which together are expected to deliver transformational changes across almost every sector of the economy. Of particular note are recent developments in AI, specifically advances in the sub-field of machine learning. Progress over the last decade has been driven by an exponential growth in computing power, coupled with increased availability of vast datasets with which to train machine learning algorithms. While machine learning technology can be traced back to at least the 1950s, investment has increased substantially in recent years, and as a result AI is rapidly becoming ubiquitous across the economy.