After spending a year or so as a PS5 exclusive, Final Fantasy 7 Rebirth finally reached the PC back on January 25th, 2025. Which meant fans were champing at the bit to mod it in one way or another, be it by tweaking the games AI, letting players stack more items, or changing the characters looks in a variety of ways.

As part of the highly anticipated return of Romas legendary attacking trio Doumbia, Ibarbo, and Gervinho EA Sports FC 25 has introduced a unique opportunity to upgrade their free cards through the Streets Wont Forget Evolution.

DNEG was honored with an Academy Award last week for its exceptional visual effects work on Dune: Part Two.This win marks DNEGs eighth Oscar for Best Visual Effects, reinforcing the studios reputation for innovation and excellence in cinematic storytelling.The achievement is a testament to the talent and dedication of DNEGs global teams, who consistently push the boundaries of visual effects to bring groundbreaking stories to life on screen.The post Celebrating DNEGs Award-Winning Teams Showreel appeared first on Vfxexpress.

For over a decade, Compagnie Gnrale des Effets Visuels (CGEV) has been a leading provider of visual effects for film, television, and streaming, consistently delivering high-quality VFX with precision and artistry.Based in the heart of Paris, CGEV handles projects of all scales, from simple end credits to highly complex visual effects for feature films. Under the leadership of Alain Carsoux, the studio has expanded its reach internationally, collaborating with major streaming platforms such as Amazon Prime Video, Netflix, and Disney.With a dedicated team across France, CGEV prioritizes artistic excellence and knowledge-sharing. Having contributed to over 700 productions, the studio continues to push creative boundaries, supporting filmmakers and post-production teams while showcasing French VFX expertise on the global stage.The post FACE LA MER: THE STORY OF TRUDY EDERLE VFX BREAKDOWN by CGEV appeared first on Vfxexpress.

Remote work is here to stay, and late-stage startups offer a nice mix of financial backing, stability, and potential for success that might be lacking in your current job.If youre looking for a chance to join a company on the move while working from the comfort of your own home, this is the list for you. From AI to health to cybersecurity and more, these remote-friendly companies have plenty of openings.Grafana Labs: 50Grafana Labs provides a suite of toolsincluding Grafana, Prometheus, Loki, and Tempothat help organizations monitor, analyze, and understand their applications and infrastructure.Grafana Labs is hiring for a variety of remote roles, including positions in engineering (software, backend, security), product management, customer success (technical account management), sales (account executives, solutions engineers), marketing (community, product, partner), support, and people operations.Vercel: 37Vercel is a cloud platform for building and deploying fast, modern, web applications, best known for its focus on developer experience and non-server functions.Vercel is hiring for a range of remote positions in engineering (front-end, back-end, site-reliability engineering), product management, sales, marketing, finance, legal, and people operations.Headway: 36Headway is a platform that connects patients with therapists who accept insurance, aiming to make mental health care more accessible and affordable.Headway is hiring for various remote roles in engineering (front-end, back-end, full-stack), product, data, and operations, focused on building and scaling its platform and network within the U.S.Apollo.io: 35Apollo.io is a sales intelligence and engagement platform designed to help sales teams find, connect with, and close more deals by providing a comprehensive database of business contacts and integrated sales tools.Apollo.io is hiring for a wide range of remote roles primarily across sales (account executives, solutions engineers, sales-development representatives), engineering (various specializations), product management, marketing, customer success, and operations.Halcyon: 26Halcyon provides a platform for cybersecurity, focusing on end-point protection and threat intelligence to help organizations defend against advanced cyberattacks and ransomware.Halcyon is hiring for remote roles primarily in engineering (software, security), sales (account executives, sales engineers), marketing, and customer success.Phantom: 26Phantom is a cryptocurrency wallet offering a user-friendly interface for managing digital assets, staking, and interacting with decentralized applications.Phantom is hiring for a variety of remote roles including engineering (mobile, back-end, security), product, design, marketing, and customer support.Hightouch: 26Hightouch is a platform that syncs data from data warehouses directly to business tools to arm marketing, sales, and customer-success teams with accurate data in real time.Hightouch is hiring across a variety of remote roles including engineering (back-end, front-end, DevOps), product management, sales, marketing, customer success, and operations.Cyera: 21Cyera provides a cloud data-security platform that helps organizations discover, classify, and manage data-security risks across their cloud environments, enabling businesses to comply with regulations and prevent data breaches.Cyera is hiring for remote positions primarily in engineering (back-end, front-end, data science, security), product management, sales, customer success, marketing, and operations.Arize: 20Arize provides a machine learning observability platform that helps organizations monitor, debug, and improve the performance of their machine learning models to ensure the models are accurate and reliable.Arize is hiring remotely across various departments, including engineering (back-end, front-end, machine learning ops), product, customer success, sales, and marketing.1Password: 191Password is a password manager that helps individuals, teams, and businesses securely store and manage passwords, credit cards, and other sensitive information.The company is hiring for various remote roles across the U.S. and Canada, with a focus on engineering (software, security), product management, design, marketing, sales, customer support, and operations.Runway: 15Runway builds creativity-based AI tools and infrastructure to generate images, videos, and other media using machine learning models.Runway is hiring for a variety of remote roles, primarily in engineering (machine learning, software), product, design, and research.Fingerprint: 13Fingerprint provides a device intelligence platform that enables businesses to accurately identify website visitors, prevent fraud, and improve user experiences.Fingerprint is hiring remotely across a variety of departments, including engineering (front-end, back-end, security), product, sales, marketing, customer success, and operations.

The electric return of Renault's iconic sports car has just taken a step closer to realityand we got our first glimpse of it.

With the success of Warhammer 40,000: Space Marine 2 and the announcement of Space Marine 3, Saber Interactive certainly has its hands full. However, for those concerned about other announced projects, chief creative officer Tim Willits has assured that everything is still in development.Saber Interactive is one of the largest independent developers in the world, he said on Twitter. We are working on numerous games across many different genres. Everything that we have talked about is still in development. We will share information on upcoming games when we have something cool to share.In terms of announced projects, the developer has John Carpenters Toxic Commando, Jurassic Park Survival, and Star Wars: Knights of the Old Republic Remake in the works. The latter is doubtless interesting to fans of BioWares beloved RPG series since it was announced in 2021 and saw numerous development issues.Willits previously said the title would receive more details when the time is right. Aside from the recent reassurance, it seems that time is definitely not now.Stay tuned for more updates in the meantime. Saber is also working on new content for Space Marine 2 with Patch 7.0 on the horizon. The first Public Test Server for the game is live on Steam, allowing PC players to try the patch early. Head here for more details.Saber Interactive is one of the largest independent developers in the world. We are working on numerous games across many different genres. Everything that we have talked about is still in development. We will share information on upcoming games when we have something cool to Tim Willits (@TimWillits) March 14, 2025

Warhorse Studios Kingdom Come: Deliverance 2 has been immensely successful for the studio, selling two million copies in less than two weeks. However, its also an immense technical triumph with how well it runs on all platforms. Unfortunately, those hoping to see any improvements make their way to the previous game in a remaster shouldnt hold their breath.In an interview with SxyBiscuit on YouTube, Warhorses global public relations manager Tobias Stolz-Zwilling said, We are not planning to go back to Kingdom Come: Deliverance 1 in any form or shape. Of course, hardcore fans would love that, absolutely. Im absolutely aware of that, but in all honesty, I dont seeUnless someone is coming like Saber Interactive back in the day, saying, Hey lets do the Switch version port thing. Unless someone like that is coming to us actively, then I dont really see Warhorse doing it.With some areas like Rattay not offering the best performance, its somewhat disappointing. It would have also been nice to have a patch for the Xbox One and PS4 versions to run at 60 FPS on Xbox Series X/S and PS5. Nevertheless, considering patch 1.2 recently released and offered extensive fixes, free features like Barber Mode, and upcoming DLC, Warhorse is definitely keeping busy.Kingdom Come: Deliverance 2 is available for Xbox Series X/S, PS5, and PC. Check out our review, where we gave it a nine out of ten. You can also read the roadmap for more details on upcoming DLC.

Artificial Neural Networks (ANNs) have revolutionized computer vision with great performance, but their black-box nature creates significant challenges in domains requiring transparency, accountability, and regulatory compliance. The opacity of these systems hampers their adoption in critical applications where understanding decision-making processes is essential. Scientists are curious to understand these models internal mechanisms and want to utilize these insights for effective debugging, model improvement, and exploring potential parallels with neuroscience. These factors have catalyzed the rapid development of explainable artificial intelligence (XAI) as a dedicated field. It focuses on the interpretability of ANNs, bridging the gap between machine intelligence and human understanding.Concept-based methods are powerful frameworks among XAI approaches for revealing intelligible visual concepts within ANNs complex activation patterns. Recent research characterizes concept extraction as dictionary learning problems, where activations map to a higher-dimensional, sparse concept space that is more interpretable. Techniques like Non-negative Matrix Factorization (NMF) and K-Means are used to accurately reconstruct original activations, while Sparse Autoencoders (SAEs) have recently gained prominence as powerful alternatives. SAEs achieve an impressive balance between sparsity and reconstruction quality but suffer from instability. Training identical SAEs on the same data can produce different concept dictionaries, limiting their reliability and interpretability for meaningful analysis.Researchers from Harvard University, York University, CNRS, and Google DeepMind have proposed two novel variants of Sparse Autoencoders to address the instability issues: Archetypal-SAE (A-SAE) and its relaxed counterpart (RA-SAE). These approaches build upon archetypal analysis to enhance stability and consistency in concept extraction. The A-SAE model constrains each dictionary atom to reside strictly within the convex hull of the training data, which imposes a geometric constraint that improves stability across different training runs. The RA-SAE extends this framework further by incorporating a small relaxation term, allowing for slight deviations from the convex hull to enhance modeling flexibility while maintaining stability.The researchers evaluate their approach using five vision models: DINOv2, SigLip, ViT, ConvNeXt, and ResNet50, all obtained from the timm library. They construct overcomplete dictionaries with sizes five times the feature dimension (e.g., 7685 for DINOv2 and 20485 for ConvNeXt), providing sufficient capacity for concept representation. The models undergo training on the entire ImageNet dataset, processing approximately 1.28 million images that generate over 60 million tokens per epoch for ConvNeXt and more than 250 million tokens for DINOv2, continuing for 50 epochs. Moreover, RA-SAE builds upon a TopK SAE architecture to maintain consistent sparsity levels across experiments. The computation of a matrix involves K-Means clustering of the entire dataset into 32,000 centroids.The results demonstrate significant performance differences between traditional approaches and the proposed methods. Classical dictionary learning algorithms and standard SAEs show comparable performance but struggle to recover true generative factors in the tested datasets accurately. In contrast, RA-SAE achieves higher accuracy in recovering underlying object classes across all synthetic datasets used in the evaluation. In qualitative results, RA-SAE uncovers meaningful concepts, including shadow-based features linked to depth reasoning, context-dependent concepts like barber, and fine-grained edge detection capabilities in flower petals. Moreover, it learns more structured within-class distinctions than TopK-SAEs, separating features like rabbit ears, faces, and paws into distinct concepts rather than mixing them.In conclusion, researchers have introduced two variants of Sparse Autoencoders: A-SAE and its relaxed counterpart RA-SAE. A-SAE constrains dictionary atoms to the convex hull of the training data and enhances stability while preserving expressive power. Then, RA-SAE effectively balances reconstruction quality with meaningful concept discovery in large-scale vision models. To evaluate these approaches, the team developed novel metrics and benchmarks inspired by identifiability theory, providing a systematic framework for measuring dictionary quality and concept disentanglement. Beyond computer vision, A-SAE establishes a foundation for more reliable concept discovery across broader modalities, including LLMs and other structured data domains.Check outthe Paper.All credit for this research goes to the researchers of this project. Also,feel free to follow us onTwitterand dont forget to join our80k+ ML SubReddit.The post Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models appeared first on MarkTechPost.