Despite suggestions it has been losing its edge, California is way ahead of others when it comes to the hottest technology right now: artificial intelligence. The regions around San Francisco, San José and Los Angeles are among the best prepped for AI in the country, according to a report released Wednesday by the Brookings Institution. The Washington think tank dubbed the San Francisco and San José metropolitan areas "superstars" when it comes to AI readiness. Three out of the top 10 city regions most ready for AI are in California, according to the report. No other state has more than one region in the top 10.

Football coaches desperate to boost their team's performance could soon find an answer in an artificial intelligence system aimed at conjuring the next superstar. A kind of sporting Aladdin's lamp is within reach, technologists claim, which could allow managers to simply wish for a new player with the aggression of Erling Haaland or the poise of Jude Bellingham and for an AI to suggest the perfect prospect. A system that uses video and automated tracking to monitor the performances of nearly 180,000 mostly teenage footballers around the world underpins the services of Eyeball, a digital scouting company that already has relationships with more than a dozen Premier League clubs and other elite teams in Europe and North America. Using what it claims is the largest video database of global youth football – with players logged from 28 countries – the company says it can now determine which young players most fit the description of current or recent top stars as defined by one of eight archetypes. The characteristics of the ideal midfielder are a blend of Steven Gerrard, Kevin De Bruyne, Dominik Szoboszlai, Federico Valverde, Dani Olmo and Bellingham – all top-ranked internationals.

Rivalry is a vital element of fandom. Whether its punks v rockers, Star Trek v Star Wars or Marvel v DC, subcultures have always defined themselves by what they're not as much as what they are. Which is why I'm secretly delighted that Sega and Nintendo are apparently releasing their new Sonic and Mario games within days of each other this October. Both Super Mario Bros Wonder and Sega Superstars are nostalgic callbacks to the era of 2D platforming. Both games allow players to select from a range of classic characters and take on the rich, lushly colourful environments in cooperative modes, and both supplement the retro aesthetics with new abilities.

Deep neural networks have repeatedly been shown to be non-robust to the uncertainties of the real world. Even subtle adversarial attacks and naturally occurring distribution shifts wreak havoc on systems relying on deep neural networks. In response to this, current state-of-the-art techniques use data-augmentation to enrich the training distribution of the model and consequently improve robustness to natural distribution shifts. We propose an alternative approach that allows the system to recover from distribution shifts online. Specifically, our method applies a sequence of semantic-preserving transformations to bring the shifted data closer in distribution to the training set, as measured by the Wasserstein distance. We formulate the problem of sequence selection as an MDP, which we solve using reinforcement learning. To aid in our estimates of Wasserstein distance, we employ dimensionality reduction through orthonormal projection. We provide both theoretical and empirical evidence that orthonormal projection preserves characteristics of the data at the distributional level. Finally, we apply our distribution shift recovery approach to the ImageNet-C benchmark for distribution shifts, targeting shifts due to additive noise and image histogram modifications. We demonstrate an improvement in average accuracy up to 14.21% across a variety of state-of-the-art ImageNet classifiers.

So now Elon wants to buy Twitter, allegedly to help him build X, "the everything" app. Sweet of him to name it after his kid. For a couple days in late September, no one seemed clear on who owned Bruce Willis. The British newspaper The Telegraph claimed that the actor, who has retired because he suffers from aphasia, had digitally reincarnated his career by selling performance rights to a company called Deepcake, which used artificial intelligence technology to map Willis' face onto another actor. Not long after, representatives of Willis said that the star of Die Hard had done no such thing and had no relationship with Deepcake, even though the company's website had a complimentary quote from the star.

The 2022 season ignited a world of changes for McLaren Racing and Formula 1 with the biggest reengineering in modern F1 history. Each team now has a budget cap, and significant rule changes have been introduced, altering strategies and adding excitement for the fans. Another change that we're thrilled about is that DataRobot is one of McLaren's newest partners. As part of this relationship, DataRobot will be integrated into the McLaren Racing infrastructure, delivering AI-powered predictions and insights to maximize performance and optimize simulations. DataRobot is collaborating with team members across departments of McLaren and showing off co-marketing activities, including logos on the McLaren's MCL36 race cars and on the race suits of McLaren F1 drivers, Lando Norris and Daniel Ricciardo.

The Morning Download delivers daily insights and news on business technology from the CIO Journal team. "We don't recognize how much talent is there," said Mr. Cuban, who lives in Dallas. "One of my goals is to really go out and find the superstars. There are so many there that are under-appreciated and don't have access to resources." Mr. Cuban's funding will be spent on resources to educate hundreds of students in AI over the next few years, with the goal of teaching 1,000 students a year from 2023.

"The biggest risk is not taking any risk. In a world that is changing really quickly, the only strategy that is guaranteed to fail is not taking risks." Customer experience is the key to business success and with new technologies emerging and getting popular; it has become imperative for us to stay on track and take risks. Because the only thing constant in the world of customers is change. A business needs to evolve, change, and grow to match customer demands and expectations. We see data science and AI leaving their mark on almost every existing process; it is no longer a farfetched what we saw in those robots taking over the world movies.

Five technology trends are poised to transform the future of work beginning in 2020, according to DXC Technology. The rapid adoption of emerging technologies such as artificial intelligence (AI) and machine learning (ML) – coupled with trusted data ecosystems, empowered interconnected teams and tech-evangelist leaders – promises to produce new levels of workforce efficiency, productivity and growth across enterprises. "The notion of accelerated productivity will force enterprises to rethink their technology decisions and investments across the enterprise technology stack, which, in turn, will drive a sea change in how enterprises are led and structured, make informed decisions and engage employees and customers," said Dan Hushon, senior vice president and chief technology officer, DXC. The pervasive use of AI and ML in business is revolutionizing professions such as legal, accounting, healthcare and education by democratizing access to data and expert services. AI is extending customization and personalized services to a broad base of customers through low-cost intelligent agents.

Tim O'Reilly is a kind of bard of technology, a lyrical poet of computing's past, present and future. Ask him a question and whole paragraphs of reflection bubble up. Is the present state of artificial intelligence, for example, bigger than the open-source software revolution, an epochal development chronicled in detail from the front lines by O'Reilly's publishing company? "That's an interesting question," says O'Reilly, before re-framing it, declaring that there is something bigger than AI itself. "I think in the long run, this transformation to machine autonomy, and to, basically, machines that are in a new kind of hybrid existence with humans -- they talk about AI as separate from us, but all interesting machines are hybrids of human and machine -- we have this machine that has been amplifying things we can do, and I think of the human-machine symbiosis as a trend that is probably bigger than the internet, and bigger than open source, and of which AI is one manifestation."