Analog-on-Top Mixed Signal (AMS) Integrated Circuit (IC) design is a time-consuming process predominantly carried out by hand. Within this flow, usually, some area is reserved by the top-level integrator for the placement of digital blocks. Specific features of the area, such as size and shape, have a relevant impact on the possibility of implementing the digital logic with the required functionality. We present a Machine Learning (ML)-based evaluation methodology for predicting the feasibility of digital implementation using a set of high-level features. This approach aims to avoid time-consuming Place-and-Route trials, enabling rapid feedback between Digital and Analog Back-End designers during top-level placement.

Novel test selectors have demonstrated their effectiveness in accelerating the closure of functional coverage for various industrial digital designs in simulation-based verification. The primary advantages of these test selectors include performance that is not impacted by coverage holes, straightforward implementation, and relatively low computational expense. However, the detection of stimuli with novel temporal patterns remains largely unexplored. This paper introduces two novel test selectors designed to identify such stimuli. The experiments reveal that both test selectors can accelerate the functional coverage for a commercial bus bridge, compared to random test selection. Specifically, one selector achieves a 26.9\% reduction in the number of simulated tests required to reach 98.5\% coverage, outperforming the savings achieved by two previously published test selectors by factors of 13 and 2.68, respectively.

Professor Marina Jirotka is a highly-respected Professor of Computer Science at Oxford and an international expert in Human Centred Computing and Responsible Innovation. She has been at the university for some 30 years – and yet, she smiles, she is not from a typical Oxford academic background. It really could have all been very different. Professor Jirotka's parents, academic chemists, came to this country on the eve of war from what was then Czechoslovakia. Refugees from Hitler, then Stalin, they settled in a small town in Scotland, with her grandparents; building a business and a new life far from home.

Researchers at the Indian Institute of Science (IISc) have developed a design framework to build next-generation analog computing chipsets that could be faster and require less power than the digital chips found in most electronic devices. Using their novel design framework, the team has built a prototype of an analog chipset called ARYABHAT-1 (Analog Reconfigurable technologY And Bias-scalable Hardware for AI Tasks). This type of chipset can be especially helpful for Artificial Intelligence (AI)-based applications like object or speech recognition--think Alexa or Siri--or those that require massive parallel computing operations at high speeds. Most electronic devices, particularly those that involve computing, use digital chips because the design process is simple and scalable. "But the advantage of analog is huge. You will get orders of magnitude improvement in power and size," explains Chetan Singh Thakur, assistant professor at the Department of Electronic Systems Engineering (DESE), IISc, whose lab is leading the efforts to develop the analog chipset.

Nokia is introducing Nokia 5G Digital Design, Cross-Domain Architecture and Site Evolution Services to facilitate the rollout of 5G networks, to help operators prioritize their 5G investments and bring 5G-based services to market faster. Built on Nokia AVA cognitive services platform and machine learning algorithms, the Nokia 5G Digital Design is a unique, patent-pending concept that will dramatically change the way future networks are designed. This new service will also use digital twin technology in near future, to quickly and accurately show the technological and cost impacts of real-world 5G implementation, and provide automated recommendations for action. Digital Twins are digital replicas of physical assets, processes, and systems that also interact with the real system - with the digital replica mimicking changes as they occur in the actual physical system. The Cross-Domain Architecture service enables operators to quickly transform multivendor end-to-end networks to 5G. It simplifies the complexity of multivendor and legacy networks, providing architecture and design solutions tailored to operator-specific 5G use cases.

Artificial intelligence (AI) used to be a concept for science fiction. It has become so widely integrated into basic technology that it seems it will eventually take human jobs. While that may sound alarming, there's actually a lot of opportunities here, especially for web designers. Artificial intelligence has taken on a role quite like J.A.R.V.I.S. in the Iron Man movies -- as an assistant. With the help of AI, web designers can achieve layouts and include tech that isn't only beautiful, but functional as well.

Last winter, the sportswear giant Adidas opened a pop-up store inside a Berlin shopping mall. The boutique was part of a corporate experiment called Storefactory--a name as flatly self- explanatory as it is consistent with the convention of German compound nouns. It offered a single product: machine- knit merino wool sweaters, made to order on the spot. Customers stepped up for body scans inside the showroom and then worked with an employee to design their own bespoke pullovers. The sweaters, which cost the equivalent of about $250 apiece, then materialized behind a glass wall in a matter of hours.

Many people believed that modern technology will first replace the low wage jobs from the industries that are dependent on manual labor rather than intellectual work. However, the latest innovations in robotics and A.I. tend to contradict our previous beliefs: we are now entering a new era, of A.I. based design that hopefully, will change everything for the best. Until recently, computer generated design was regarded more as a sci-fi idea rather than a reality. The development of artificial intelligence was focused on other goals and nobody could have dreamed about it being capable of actually delivering something useful to mankind. Sure, we all have at least once admired beautiful fractals generated by computers but let's face it, they were not actually visual designs.