Ubisoft has cancelled six video games - including its long-awaited Prince of Persia: The Sands of Time remake - as part of a major reset of its operations. The French developer and publisher, known for popular games such as Assassin's Creed, Far Cry and Just Dance, has closed two studios and delayed seven titles as part of its changes. Ubisoft boss Yves Guillemot said the move would create the conditions for a return to sustainable growth. The firm's shares plunged by 33% on Thursday morning following the announcement. The move comes at a time when studios are increasingly turning to video game remakes and remasters, with new versions of Super Mario Galaxy, Oblivion and Metal Gear Solid 3 proving popular in 2025.

Good Job is Slate's advice column on work. Have a workplace problem big or small? One of my dearest friends was recently squeezed into an unwanted early retirement by DOGE. The work she was doing at the government agency where she's spent most of her career is on the verge of being eliminated or slashed into oblivion, and it kills me to know that her life's work is about to be reversed. I want to support her through this.

BT's technology chief, Harmeen Mehta, has suggested workers whose jobs are threatened by AI accept their fate as "evolution", comparing them to horses replaced by the car. In an interview with the business website Raconteur, Mehta said: "I don't know how horses felt when the car was invented, but they didn't complain that they were put out of a job; they didn't go on strike. Some jobs will change, some new ones will be created and some will no longer be needed." She argued that "society changes and jobs morph", and suggested the tone of reporting on AI was holding back its rollout in the UK. "The media here is creating a level of paranoia that's going to paralyse this country," she said.

We analyze asynchronous-type algorithms for distributed SGD in the heterogeneous setting, where each worker has its own computation and communication speeds, as well as data distribution. In these algorithms, workers compute possibly stale and stochastic gradients associated with their local data at some iteration back in history and then return those gradients to the server without synchronizing with other workers. We present a unified convergence theory for non-convex smooth functions in the heterogeneous regime. The proposed analysis provides convergence for pure asynchronous SGD and its various modifications. Moreover, our theory explains what affects the convergence rate and what can be done to improve the performance of asynchronous algorithms. In particular, we introduce a novel asynchronous method based on worker shuffling. As a by-product of our analysis, we also demonstrate convergence guarantees for gradient-type algorithms such as SGD with random reshuffling and shuffle-once mini-batch SGD. The derived rates match the best-known results for those algorithms, highlighting the tightness of our approach. Finally, our numerical evaluations support theoretical findings and show the good practical performance of our method.

Jeff Bezos' Blue Origin has spent two decades trailing Elon Musk's SpaceX in the space-exploration race. To fix this, Bezos has turned to a trusted Amazon.com Incoming Blue Origin CEO Dave Limp, who shepherded Alexa's introduction in 2014, is a fierce guardian of Amazon and Bezos' leadership principles, which put a premium on speed and solving customer problems. "Dave has an outstanding sense of urgency, brings energy to everything, and helps teams move very fast," Bezos told employees on Monday in an email seen by Bloomberg.

Elon Musk is not most people's idea of a classic technophobe, so when the owner of Twitter warns of the dangers of artificial intelligence, it is worth sitting up and taking notice. Fearful that a new generation of ever-smarter machines threatens life on Earth as we know it, Musk was one of many at the cutting edge of technological change calling for a six-month timeout in the training of new AI systems. There is nothing new in the idea that the machines are coming, and they are out to get us. Techno-optimists are right to say that the same arguments were aired by Luddites in the early 19th century. By this token, the chatbot ChatGPT is to the fourth industrial revolution what the spinning jenny was to the first – a product that symbolises the dawning of a new era.

The cloud is still a popular platform for distributed deep learning (DL) training jobs since resource sharing in the cloud can improve resource utilization and reduce overall costs. However, such sharing also brings multiple challenges for DL training jobs, e.g., high-priority jobs could impact, even interrupt, low-priority jobs. Meanwhile, most existing distributed DL training systems require users to configure the resources (i.e., the number of nodes and resources like CPU and memory allocated to each node) of jobs manually before job submission and can not adjust the job's resources during the runtime. The resource configuration of a job deeply affect this job's performance (e.g., training throughput, resource utilization, and completion rate). However, this usually leads to poor performance of jobs since users fail to provide optimal resource configuration in most cases. \system~is a distributed DL framework can auto-configure a DL job's initial resources and dynamically tune the job's resources to win the better performance. With elastic capability, \system~can effectively adjusts the resources of a job when there are performance issues detected or a job fails because of faults or eviction. Evaluations results show \system~can outperform manual well-tuned resource configurations. Furthermore, in the production Kubernetes cluster of \company, \system~reduces the medium of job completion time by 31\%, and improves the job completion rate by 6\%, CPU utilization by 15\%, and memory utilization by 20\% compared with manual configuration.

The boom of artificial intelligence (AI) has sparked talk of a new industrial revolution that could make millions of workers obsolete. One job it's creating, however, could pay up to €300,000 a year - and it doesn't even require a tech background. AI prompt engineering is a hot new job on the tech market driven by the rise of AI-powered chatbots such as GPT-4, the latest version of OpenAI's ChatGPT. The job involves taking advantage of the full potential of AI by effectively communicating with the algorithm and gradually teaching it how to respond and follow specific guidelines. Those skills are in high demand right now.

I spoke last week at a conference in Cardiff on the future of work. It was organised by the law firm Dawson Gray. You can't talk about the the future of work without thinking about the future city, since the shape and structure of work is bound up more or less completely with the shape and structure of cities. Edward Glaeser's book The Triumph of the City (2012) gets a lot of love in these conversations. It's hard to find people who have a bad word to say about it. Cities are the absence of physical space between people and companies.

Fox News host Steve Hilton delves into ChatGPT, an artificial intelligence program that could have major implications for writing-focused jobs on'The Next Revolution.' Quickly evolving artificial intelligence technologies like ChatGPT could increase cyberattacks from foreign countries and displace workers in the U.S. labor force, highlighting the need for new skills and training among American students and workers, according to experts. Netra AI CEO Don Horan noted that artificial intelligence could be used to generate malicious code quickly by removing the algorithms' intended controls and creating content outside the authorized purview. He said that foreign acts can utilize tools like ChatGPT to improve espionage and accelerate elicitation, a process wherein a perpetrator gets to know a subject very well by gathering information and creating "the profile of a human being." This information is then used to force people to comply with their intended mission.