Lorenzo Servadei and his team at Sony AI are focused on researching and developing machine learning models to aid chip design and manufacturing. In this interview, Lorenzo tells us more about Electronic Design Automation, and how machine learning has been added into the mix to further advance the field of semiconductor chip design. What was your inspiration for pursuing a career in AI and semiconductors? When I was pursuing my Master's degree, I studied subjects related to traditional computer science and algorithmics - before AI was seen as a specific area of study - which led me into the field of software development. While working in software development, I had the opportunity to join a semiconductor company that was seeking AI experts, which allowed me to explore the algorithmic aspects of AI.

California passes a new law aimed at shining a light on the growing number of crashes involving self-driving cars. Chances are, you have never actually ridden a scooter like this, zipping around corners, but you have definitely seen them weaving through city traffic. Just when you thought scooters were already a wild card on the road, imagine one that drives itself. That is exactly what the Omoway Omo X promises. Developed by a team of former Xpeng engineers, this scooter is not just electric, it is packed with smart features that push self-driving scooter tech to a whole new level, offering far more than you would ever expect from a two-wheeler.

We investigate the problem of online collaborative filtering under no-repetition constraints, whereby users need to be served content in an online fashion and a given user cannot be recommended the same content item more than once. We start by designing and analyzing an algorithm that works under biclustering assumptions on the user-item preference matrix, and show that this algorithm exhibits an optimal regret guarantee, while being fully adaptive, in that it is oblivious to any prior knowledge about the sequence of users, the universe of items, as well as the biclustering parameters of the preference matrix. We then propose a more robust version of this algorithm which operates with general matrices. Also this algorithm is parameter free, and we prove regret guarantees that scale with the amount by which the preference matrix deviates from a biclustered structure. To our knowledge, these are the first results on online collaborative filtering that hold at this level of generality and adaptivity under no-repetition constraints. Finally, we complement our theoretical findings with simple experiments on real-world datasets aimed at both validating the theory and empirically comparing to standard baselines. This comparison shows the competitive advantage of our approach over these baselines.

Tehran, Iran – Russian Defence Minister Sergey Shoigu, has met senior military and security officials in Iran and toured an exhibition of Iranian missiles and drones. Shoigu arrived in Tehran on Tuesday and was officially received by Mohammad Bagheri, chief of staff of the Iranian armed forces. He has met Iranian Defence Minister Mohammad Reza Ashtiani, Islamic Revolutionary Guard Corps (IRGC) aerospace chief Amir Ali Hajizadeh and security chief Ali Akbar Ahmadian. Bagheri told Shoigu that military cooperation is at the vanguard of expanding relations between Tehran and Moscow, who have been working on a new long-term cooperation plan for months. "This document has serious military and defence dimensions, and can act as suitable grounds to expand long-term cooperation between the two countries," he was quoted as saying by Iranian state media.

By running simulations of different scenarios, a digital twin offers an accurate reflection of the current state versus the future state and can provide the insights needed for making evidence-based decisions. Digital twins have become a major part of operational excellence in recent years. Originally developed as a way to replicate the physical world in virtual form, they now play a prominent role in forecasting and planning future scenarios. Their adoption is also extremely varied, from manufacturing plants identifying bottlenecks in production, contact centers allocating resources to manage surges in demand, hospitals looking to reduce a backlog of appointments, or indeed any type of business looking to combat operational inefficiencies – there's a twin for them all. So much so that it's become something of a buzzword, but there are other relevant buzzwords here too. For one, every new piece of technology now seems to have artificial intelligence and machine learning as part of its engine, developing highly targeted insights on which to build more personalized or sophisticated services.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A new barrage of Russian shelling killed at least 10 Ukrainian civilians and wounded 20 others in a day, the office of Ukraine's president said Friday as the country worked to recover from an earlier wave of Russian missile strikes and drone attacks. Regional officials said towns and villages in the east and in the south that are within reach of the Russian artillery suffered most. Six people died in the Donetsk region, two in Kherson, and two in the Kharkiv region.

Based in London, is a start up that blew the minds of people across the world. Synthesia is a Artificial Intelligence and Machine Learning based text-to-video services that targets to bring down the production costs of a video involving speakers. It simply does this by eliminating the need of a production studio, or video editors, or the very hassle of choosing actors for the video. Like any other popular AI-tool, Synthesia comes with a user-friendly interace, with plenty of pre-made templates that one could use without prior knowledge of video editing or content creation. It has a variety of uses, from school projects, social media to business presentations.

The increasing complexity of gameplay mechanisms in modern video games is leading to the emergence of a wider range of ways to play games. The variety of possible play-styles needs to be anticipated by designers, through automated tests. Reinforcement Learning is a promising answer to the need of automating video game testing. To that effect one needs to train an agent to play the game, while ensuring this agent will generate the same play-styles as the players in order to give meaningful feedback to the designers. We present CARMI: a Configurable Agent with Relative Metrics as Input. An agent able to emulate the players play-styles, even on previously unseen levels. Unlike current methods it does not rely on having full trajectories, but only summary data. Moreover it only requires little human data, thus compatible with the constraints of modern video game production. This novel agent could be used to investigate behaviors and balancing during the production of a video game with a realistic amount of training time.

The concept of artificial intelligence (AI) has far-reaching promise and applicability across the business and technology landscape. Thanks to the growth of big data, machine learning, analytics, and blazing computational speeds, the use of artificial intelligence has matured and is now playing a critical role in every major vertical, from banking to retail to logistics. This opens opportunities for organizations to combine the power of AI and mainframe to drive higher levels of operational resilience across their IT environment. To compete, enterprises need to ensure that their business processes can scale and perform flawlessly to delight their customers. Whether purchasing groceries, booking a flight, or trading stock, consumers expect 24/7 sub-second response.

Bill Fenick, VP Enterprise, Interxion argues that emerging technologies will reach a new level of maturity. He claims, "with the IT industry booming over the past few years, it's hard to imagine that there will be any huge surprises in enterprise IT next year. However, I do expect that the new decade will bring new levels of maturity to leveraging technologies including the cloud, artificial intelligence and the Internet of Things. These technologies have transitioned from emerging trends that organisations were trying to figure out, to established staples of businesses' IT strategies." He continues, "with the advancements of these technologies, most organisations are realising that their existing enterprise data centres can no longer support these technologies. As a result, we can expect to see a follow-on shift toward IT infrastructures that can provide high performant, secure and cost effective interconnections to the cloud and connectivity providers that will help them meet their unique needs."