Physical models in the form of partial differential equations serve as important priors for many under-constrained problems.

Glioblastoma is the most prevalent primary brain malignancy, distinguished by its highly invasive behavior and exceptionally high rates of recurrence. Conventional radiation therapy, which employs uniform treatment margins, fails to account for patient-specific anatomical and biological factors that critically influence tumor cell migration. To address this limitation, numerous computational models of glioblastoma growth have been developed, enabling generation of tumor cell distribution maps extending beyond radiographically visible regions and thus informing more precise treatment strategies. However, despite encouraging preliminary findings, the clinical adoption of these growth models remains limited. To bridge this translational gap and accelerate both model development and clinical validation, we introduce PREDICT-GBM, a comprehensive integrated pipeline and dataset for modeling and evaluation. This platform enables systematic benchmarking of state-of-the-art tumor growth models using an expert-curated clinical dataset comprising 255 subjects with complete tumor segmentations and tissue characterization maps. Our analysis demonstrates that personalized radiation treatment plans derived from tumor growth predictions achieved superior recurrence coverage compared to conventional uniform margin approaches for two of the evaluated models. This work establishes a robust platform for advancing and systematically evaluating cutting-edge tumor growth modeling approaches, with the ultimate goal of facilitating clinical translation and improving patient outcomes.

Do you want allegedly useful "artificial intelligence" features in your face in every single service and tool you use, constantly, unceasingly, and demanding you pay more for it? The latest perpetrator is Adobe, who's now raising the price of its priciest Creative Cloud plans next month and justifying it by bundling in a bunch of generative AI tools. The Creative Cloud All Apps plan is being renamed Creative Cloud Pro, because apparently tools that cost hundreds of dollars a year and aren't available as full purchases aren't for "professionals" unless they're paying the maximum amount. If you're in the US, Canada, or Mexico, and if you're currently subscribed to All Apps, you'll be moved over to the Pro plan starting on June 17th… with a price bump from 60 per month to 70 per month for standard, yearly-subscribed users in the US. Month-to-month prices will jump from the already-sky-high 90 per month to 105 per month.

Netflix has removed its $10 Basic tier -- once the service's cheapest plan without ads -- in the US and the UK. The company has updated its pricing page to say new and rejoining members in both countries can no longer sign up for the Basic tier. If you're already on the plan, you can keep your membership as is (and pay $10 a month) until you cancel or change your subscription – or Netflix changes its mind, I'm guessing. If new members don't want to pay for a Standard plan, they must now make do with the Standard Ad-Supported tier, which costs $7 a month in the US and £5 in the UK. It supports Full HD streams and viewing on two devices at a time, like the no-ads Standard plan but lacks offline viewing.

Artificial Intelligence and machine learning have been increasingly helpful in creating and rating visual contents and stories. In this article, we list down five AI-based text-to-video products that will help any storyteller put forward their best content. About: This is a video creation platform by artificial intelligence that enables anyone without training or experience to easily create engaging video content within minutes. There are mainly three categories for this product. The Comunity category is cost-free and will provide you with 480p resolution including standard library and popular themes.

Today, we are enhancing our product to accelerate the value of AI in your companies and announcing Watson Studio. IBM Watson Studio is an integrated environment designed to make it easy to develop, train, manage models and deploy AI-powered applications and is a SaaS solution delivered on the IBM Cloud. IBM Services has already been using Watson Studio to train business patterns. In specific client situations, we are able to train business patterns and encode into end user applications in a few hours. Our consultants now embed Watson-powered AI across all processes in our client business with simplicity and speed, so our consultants spend more time creating incremental value, rather then coding applications.