Open-source development has revolutionized the software industry by promoting collaboration, transparency, and community-driven innovation. Today, a vast amount of various kinds of open-source software, which form networks of repositories, is often hosted on GitHub - a popular software development platform. To enhance the discoverability of the repository networks, i.e., groups of similar repositories, GitHub introduced repository topics in 2017 that enable users to more easily explore relevant projects by type, technology, and more. It is thus crucial to accurately assign topics for each GitHub repository. Current methods for automatic topic recommendation rely heavily on TF-IDF for encoding textual data, presenting challenges in understanding semantic nuances. This paper addresses the limitations of existing techniques by proposing Legion, a novel approach that leverages Pre-trained Language Models (PTMs) for recommending topics for GitHub repositories. The key novelty of Legion is three-fold. First, Legion leverages the extensive capabilities of PTMs in language understanding to capture contextual information and semantic meaning in GitHub repositories. Second, Legion overcomes the challenge of long-tailed distribution, which results in a bias toward popular topics in PTMs, by proposing a Distribution-Balanced Loss (DB Loss) to better train the PTMs. Third, Legion employs a filter to eliminate vague recommendations, thereby improving the precision of PTMs. Our empirical evaluation on a benchmark dataset of real-world GitHub repositories shows that Legion can improve vanilla PTMs by up to 26% on recommending GitHubs topics. Legion also can suggest GitHub topics more precisely and effectively than the state-of-the-art baseline with an average improvement of 20% and 5% in terms of Precision and F1-score, respectively.

Lenovo believes artificial intelligence will help differentiate its 2023 gaming laptops. Four new models at CES 2023 include the Lenovo LA AI chip, which the company says can dynamically adjust frame rates, increase the maximum heat threshold and boost overall performance. The LA AI chip is in the new Legion Pro 7, 7i, 5 and 5i (the "i" suffix denotes Intel variants) gaming laptops. Lenovo's AI Engine software uses the chip to deploy a "machine learning algorithm to tune system performance optimally." The company says FPS monitoring, higher thermal design power (TDP) and other tweaks boost performance and efficiency over previous generations.

Farshad Kheiri is the Head of AI and Data Science at Legion Technologies, an industry leader for AI-powered, machine-learning workforce management products. The company uses advanced technology to solve some of the biggest WFM business challenges while creating an employee experience that helps to attract and retain employees. What initially attracted you to computer science and engineering? I learned programming through online courses, as well as some on-campus classes. My background is in electrical engineering, but I have a minor in math, stochastic processes, and probability.

Farshad Kheir is the Head of AI and Data Science at Legion Technologies, an industry leader for AI-powered, machine-learning workforce management products. The company uses advanced technology to solve some of the biggest WFM business challenges while creating an employee experience that helps to attract and retain employees. What initially attracted you to computer science and engineering? I learned programming through online courses, as well as some on-campus classes. My background is in electrical engineering, but I have a minor in math, stochastic processes, and probability.

Whether it's down to our own hubris, the disastrous effects of unbridled wealth accumulation and social division, war, the climate crisis, plague, a space rock or perhaps unfriendly aliens – we'll one day be dust caught in cosmic winds, lost to an indifferent universe. On our pale blue dot, the remnants of once-great civilisations and vanished peoples that we unearth already show us that advanced development is no guarantee of perpetuity. In sci-fi, humanity's naive yearning to fight on despite this realisation often proves a point of curiosity – and sometimes inspiration – for alien species. This is front and centre of the Mass Effect trilogy of video games, in which our imminent annihilation is given form in the tendrils of creatures called Reapers: ancient, building-sized, alien-robot hybrids that wipe out most life in the Milky Way every 50,000 years. Originally released between 2007 and 2012, the games were reissued this year as Mass Effect Legendary Edition, an updated complete trilogy, and there's a compelling case that they are among the best sci-fi ever made.

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Back in 2015, when creative director Clint Hocking and his team began crafting the near-future world of Watch Dogs: Legion, some of the biggest technology companies in the world were confidently describing skies buzzing with package-delivery drones and streets alive with autonomous vehicles. Into the game they went. For a speculative fiction game about mass surveillance, that creates some problems. "Technology companies--Tesla, Amazon--had started talking publicly about pretty aggressive timelines, schedules, and regulations," Hocking said in an interview with WIRED. On October 29, Watch Dogs: Legion will release as both a game and a time capsule from 2015, back when a couple of big, stock-inflating daydreams painted a picture for 2020 that's still far from materializing.

For the jailbreak mission, I used the "spy" character, whom I obtained as the reward for "freeing" the Westminster district of propaganda. Just as an aside, the Westminster mission showed the reward as a silhouette of a man with a beret, but the spy turned out to be a middle-aged woman in a sharp blazer armed with a silencer. A fellow reviewer told me he got an older black gentleman in a suit for that same mission, which indicates that even the more specialized characters are randomized. This might be worth keeping in mind for players looking for characters they think might look or dress or move a certain type of way.

Clint Hocking marked his return to Ubisoft in 2015 with a big idea. His new project "Watch Dogs: Legion" was ambitious, and its concept was born from a single question: What if you could play as anyone? It had never been done before. In open-world games, players normally control a single protagonist, or a couple of carefully crafted main characters. But Hocking envisioned a Watch Dogs game where players could explore a metropolitan city and, with the press of a button, switch perspectives to inhabit the body of a spy, construction worker or an average Joe walking to their office job. Every passerby is their own person, primed with a web of relationships, an occupation and a personality.

Stormzy has filmed the music video for Rainfall, the forthcoming single from his No 1 album Heavy is the Head, entirely inside a video game. The award-winning grime artist and social activist will also star as a future version of himself in a mission in the game, Watch Dogs: Legion, which is released on 29 October. Watch Dogs: Legion invites players to join the hacker resistance in a futuristic post-Brexit London under the thumb of an oppressive surveillance regime and its private military. Any of the thousands of different Londoners wandering the virtual streets can be recruited to the cause, and the player can control any one of them. The game, which is being developed by Ubisoft in Toronto and comes out next month, recreates various London locations from Trafalgar Square to Tower Hamlets and Camden.