This is the sixth, and final episode in a series dedicated to all things A.I. In this episode, Tae Royle, Head of Digital Products APAC from Ashurst Advance Digital is joined by Tara Waters, Partner and Head of Ashurst Advance Digital. This is the sixth and final episode in a series dedicated to all things Artificial Intelligence. My name is Tae Royle head of digital products from Ashurst did that digital and today I'm joined by Tara Waters partner and head of Ashurst Advanced Digital based out of our London office. Naturally we come to the question of what's next? In Lewis Carroll's second novel, Alice enters Wonderland by climbing through a mirror.

'I think it looks terrific," says David Hockney. The 83-year-old artist is taking a look around his new exhibition at the Royal Academy in London for the first time. He seems happy with it – and rightly so, for it is hypnotic and ravishing. But while I am getting a sneak preview in person, Hockney is here only virtually, his face appearing on two screens, one a giant TV, the other a small laptop. He is at home, at what he calls his "seven dwarves house" in Normandy, wearing a red, black and white check jacket, a checkerboard tie, a blue-green pullover and round, gold-framed glasses. His kaleidoscopic choice of clothing, challenging the very limits of the video call's bandwidth, is as vibrant and beguiling as the canvases hanging around us. Hockney has not just painted spring; he has come dressed as it. The artist has agreed to talk me through the exhibition, called The Arrival of Spring, Normandy, 2020, and the arrangement underlines his idiosyncratic ease with technology. To make these iPad paintings, he and his team created a version of the Brushes app, working with a computer expert in Leeds to speed things up. "Drawing requires a certain speed," he says. "In Rembrandt's drawings, you can see how fast he drew." I can't handle Hockney on the big screen, so I sit in front of the laptop – after first taking in his art. He has filled some of the grandest rooms in the RA with pictures of blossoming branches, spilling flower beds, a rain-spattered pond and a tree house: simple subjects, faithfully depicted. I first saw many of these last spring, in my email inbox. Day after day, sometimes more than once a day, I would find a new Hockney, fresh from France, which was a great pick-me-up as the full scope of the pandemic began to dawn. The trouble was that I was soon running out of superlatives in my replies. He was "doing the arrival of spring in Normandy", as he puts it, and the work made headlines around the world when he released a few images to the media. Clearly, it was not just me who found Hockney's passionate pictures of new life in his cottage and garden in the Norman paysage uplifting. Here was movingly optimistic art, full of the promise of spring, even as Covid plunged the planet into despair. Now those pictures have been printed up to the scale of oil landscapes and are looking even better. This is Hockney's best exhibition in a long time, perhaps his most important ever, given the ode to joy it offers an injured world. It is also "a homage", he says, to the painters who first inspired him. Hockney was born in industrial Bradford in 1937 and grew up in a smoggy postwar Britain. Where did he get a feeling for all the bright strong colours that sweep this exhibition? "Well, it came from Monet and Matisse and Picasso.

PHILADELPHIA--(BUSINESS WIRE)--The Business Intelligence Group today announced that Bright Machines was named a winner in its Artificial Intelligence Excellence Awards program. Bright Machines is a full-stack technology company offering a new approach to AI-enabled manufacturing. The company's flagship solution, Bright Machines Microfactories, combines intelligent software and adaptive robotics to automate repetitive assembly and inspection tasks, enabling manufacturers to quickly deploy autonomous assembly lines that can scale based on market demand. In less than three years, they have achieved strong momentum across multiple industry verticals, particularly with customers seeking to re-shore manufacturing and accelerate product innovation. "Our mission from day one has been to enable our customers to increase the speed, scalability, and flexibility of their manufacturing process. By applying advanced machine learning, computer vision, 3D simulation, and cloud computing to the factory floor, we can bring new levels of innovation and productivity to their operations," said Amar Hanspal, Bright Machines CEO and co-founder.

Artificial Intelligence is already part of our lives in the tools and services we use every day. As AI development accelerates, how can authors and small businesses use it as leverage to expand income and opportunities? Ash Fontana gives some ideas in this interview on The AI-First Company.

Although machine learning (ML) is widely used in practice, little is known about practitioners' actual understanding of potential security challenges. In this work, we close this substantial gap in the literature and contribute a qualitative study focusing on developers' mental models of the ML pipeline and potentially vulnerable components. Studying mental models has helped in other security fields to discover root causes or improve risk communication. Our study reveals four characteristic ranges in mental models of industrial practitioners. The first range concerns the intertwined relationship of adversarial machine learning (AML) and classical security. The second range describes structural and functional components. The third range expresses individual variations of mental models, which are neither explained by the application nor by the educational background of the corresponding subjects. The fourth range corresponds to the varying levels of technical depth, which are however not determined by our subjects' level of knowledge. Our characteristic ranges have implications for the integration of AML into corporate workflows, security enhancing tools for practitioners, and creating appropriate regulatory frameworks for AML.

On Friday, Capcom released "Resident Evil Village," the eighth flagship title as the franchise celebrates its 25th anniversary this year. The original Resident Evil launched in March 1996 for the first PlayStation video game console, then eventually released on other platforms including PCs and the Sega Saturn. The franchise helped pioneer the genre "survival horror," where players encounter powerful zombies and other supernatural creatures, using limited resources and their wits to escape. It has also branched out to the big screen, generating several films starring Milla Jovovich. In Village, players assume the role of Ethan Winters, the main character from 2017's "Resident Evil 7: Biohazard."

Rob McElhenney's continually hilarious sitcom It's Always Sunny in Philadelphia may still (!) be on the air, but that hasn't stopped the multitalented actor, writer, and director from pursuing even more projects. In February 2020, his new show Mythic Quest, which he co-created with Sunny collaborators Charlie Day and Megan Ganz, debuted on Apple TV . The show follows the workings of a video game studio run by an eccentric creative director named Ian Grimm (McElhenney) and his oddball leadership team, including executive producer David Brittlesbee (David Hornsby, also of Sunny fame), lead engineer Poppy Li (Charlotte Nicdao), head of monetization Brad Bakshi (Danny Pudi), and head writer C.W. Longbottom (F. Though the primary focus is on these main characters, the show explores the breadth of important industry figures, including the overlooked and overworked testers and programmers and designers, the chipper office assistants and community liaisons, and the gatekeeping streamers and gaming audiences--all of whom play a part in creating or promoting the studio's main project, an MMORPG titled Mythic Quest, and its upcoming expansion pack, Raven's Banquet. Although Mythic Quest doesn't have anywhere near the name recognition of Sunny, it has a lot going for it.

An oft-forgotten pioneer in video game history, Jerry Lawson, the Black engineer who helped kickstart home game consoles, is being honored with an academic endowment. USC Games at the University of Southern California in Los Angeles, announced Thursday it has established The Gerald A. Lawson Endowment Fund for Black and Indigenous Students, an initiative to increase minority representation in games and tech. Recipients will be known as Lawson Scholars. Take-Two Interactive Software, maker of games such as "Grand Theft Auto V" and "Red Dead Redemption," made what the company described as "a very significant endowment" to create the fund. Jim Huntley, a USC Interactive Media & Games' professor and head of marketing, said he got the idea for the endowment during the summer 2020 protests and the school's deans of cinematic arts and engineering approved.

Andrew Beam, PhD is an assistant professor in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health, with secondary appointments in the Department of Biomedical Informatics at Harvard Medical School and the Department of Newborn Medicine at Brigham and Women's Hospital. His research develops and applies machine-learning methods to extract meaningful insights from clinical and biological datasets, and he is the recipient of a Pioneer Award from the Robert Wood Johnson Foundation for his work on medical artificial intelligence. Previously he was a Senior Fellow at Flagship Pioneering and the founding head of machine learning at Generate Biosciences, Inc., a Flagship-backed venture that seeks to use machine learning to improve our ability to engineer proteins.

Game theory is known to be a useful tool in the study of Machine Learning (ML) and Artificial Intelligence (AI) Multi-Agent interactions. One basic component of these ML and AI systems is the exploration-exploitation trade-off, a fundamental dilemma between taking a risk with new actions in the quest for more information about the environment (exploration) and repeatedly selecting actions that result in the current maximum reward or (exploitation). However, the outcome of the exploration-exploitation process is often unpredictable in practice and the reasons behind its volatile performance have been a long-standing open question in the ML and AI communities. Dr Stefanos Leonardos and Assistant Professor Georgios Piliouras, researchers from the Singapore University of Technology and Design (SUTD), applied analytical tools from the theory of dynamical systems in the study of multi-agent systems and established a deep connection between exploration-exploitation and Catastrophe Theory (Figures 1 and 2). The latter is a branch of mathematics that formally explains phase transitions in all kinds of natural systems ranging from the transition from water to ice and disease outbreaks to collapses of financial markets.