Version 14.2 launched on January 23 of this year. Now, today, just over six months later, we’re launching Version 14.3. And despite its modest .x designation, it’s a big release, with lots of important new and updated functionality, particularly in core areas of the system.

I’m particularly pleased to be able to report that in this release we’re delivering an unusually large number of long-requested features. Why didn’t they come sooner? Well, they were hard—at least to build to our standards. But now they’re here, ready for everyone to use.

The Drumbeat of Releases Continues… Just under six months ago (176 days ago, to be precise) we released Version 14.1. Today I’m pleased to announce that we’re releasing Version 14.2, delivering the latest from our R&D pipeline. This is an exciting time for our technology, both in terms of what we’re now able to implement, […]

Learn to apply AI and deep learning to text, image, audio and video analysis; build and train your own neural net models. This two-week online boot camp is for anyone who wants to develop proficiency in neural networks and explore ways to apply AI and make use of LLMs.

Hyperbolic lattices present a unique opportunity to venture beyond the conventional paradigm of crystalline many-body physics and explore correlated phenomena in negatively curved space. As a theoretical benchmark for such investigations, we extend Kitaev’s spin-1/2 honeycomb model to hyperbolic lattices and exploit their non-Euclidean space-group symmetries to solve the model exactly. In this Wolfram Mathematica notebook, we first show how to construct Kitaev models on hyperbolic lattices. Subsequently, we demonstrate how to use hyperbolic band theory to obtain the ground-state phase diagram on one of them and study the phases therein. In particular, we study the exotic compressible spin liquid with low-energy density of states dominated by non-Abelian Bloch states of Majorana fermions appearing for isotropic couplings which develops into a gapped chiral spin liquid under a time-reversal-breaking perturbation.

An advanced 3D animation of the Geneva mechanism, significantly enhancing the design of a previous, more simplified version. While the earlier animation utilized basic geometric forms like cylinders and triangular prisms, this new version introduces detailed and intricate shapes, resulting in a more realistic and visually complex representation. The animation includes refined components such as the Geneva wheel, lock wheel and driving pin, all modeled with precision. Interactive controls for parameters like the number of slots, pin radius and rotation angle provide users with the ability to explore and analyze the mechanism’s functionality dynamically. This improved animation serves as a valuable resource for engineering studies and enthusiasts interested in Geneva mechanisms.

Today, I am excited to announce a free interactive course, Introduction to Special Functions, to help students worldwide master this fascinating subject. To the best of our knowledge, this is the first course ever to offer such comprehensive coverage of concepts and groups of special functions.

Perfect for anyone new to the world of AI or those looking to further their understanding, this Daily Study Group provides an introduction to neural networks and their application in AI using Wolfram Language. Join the Wolfram U team and a cohort of fellow learners in exploring fundamental concepts such as embeddings, network architecture and training processes. Gain hands-on experience with the Wolfram Neural Net Framework.

In silico medicine, particularly through the use of finite element simulations, is revolutionizing patient-specific healthcare, especially in the musculoskeletal system. By creating detailed computational models of individual anatomy, finite element analysis enables precise simulation of biomechanical behavior under various conditions. This approach allows for personalized treatment strategies, offering predictive insights into how specific interventions—such as surgeries, prosthetics or rehabilitation plans—might affect the patient’s musculoskeletal health. Unlike traditional experiments such as in vivo or in vitro, in silico medicine refers to simulations where the experimental environment is recreated within the processor.

It’s time to answer the question on any breakfast-lover’s mind: "How long do I boil an egg?" While it seems so simple—place an egg in boiling water and wait—it would be remiss to say a fully hard-boiled egg is the only way to enjoy a delightful protein boost. We can use the finite element method (FEM) to simulate the conditions of an egg in water and find the ideal temperature and duration for the perfect egg by assessing temperature changes within the egg itself. We can then predict how long it takes to reach various consistencies, such as a runny yolk or a crumbly, fully set yolk.

In our daily lives, individuals, corporations and societies are constantly involved in making decisions. We hope to make optimal choices, especially when faced with recurrent decision processes. Thus we care about why and how our decision processes change over time. As a practicing engineer and an instructor in higher education, it is my opinion that a course on how optimal decisions are made and change should be part of a standard curriculum for a wide range of fields, including engineering, business, economics, project management and social sciences.

If you’ve just been handed a syllabus with "Wolfram" or "Mathematica" listed in your materials this semester, it may feel a little daunting to learn a new language and environment. But have no fear! Whether you’re solving integrals, running simulations or just trying to finish your assignment before midnight, Wolfram Notebook Assistant is built for your success. Designed to help you focus on ideas instead of syntax, it’s like having a built-in tutor, editor and coding partner—all in one.