News, Views & Insights
Today we celebrate the arrival of the 36th (x.x) version of the Wolfram Language and Mathematica: Version 14.1. We’ve been doing this since 1986: continually inventing new ideas and implementing them in our larger and larger tower of technology. And it’s always very satisfying to be able to deliver our latest achievements to the world.
Today we celebrate a new waypoint on our journey of nearly four decades with the release of Version 14.0 of Wolfram Language and Mathematica. Over the two years since we released Version 13.0 we’ve been steadily delivering the fruits of our research and development in .1 releases every six months. Today we’re aggregating these—and more—into Version 14.0.
In his blog post announcing the launch of Mathematica Version 12.1, Stephen Wolfram mentioned the extensive updates to Dataset that we undertook to make it easier to explore, understand and present your data. Here is how the updated Dataset works and how you can use it to gain deeper insight into your data.
Wolfram Research has always believed in the power of computation to deliver better decisions. But there are two sides to achieving this: not only the best computational technology but also the best education for computational thinking.
After more than 15 years of conceptualising the idea, 10 years of build-out and 2 years of writing and editing, I have assembled The Math(s) Fix: An Education Blueprint for the AI Age (or TMF for short) and thrown it out to the world today in ink and e-ink.
Sudoku is a popular game that pushes the player’s analytical, mathematical and mental abilities. Solving sudoku problems has long been discussed on Wolfram Community, and there has been some fantastic code presented to solve sudoku problems. To add to that discussion, I will demonstrate several features that are new to Mathematica Version 12.1, including how this game can be solved as an integer optimization problem using the function LinearOptimization, as well as how you can generate new sudoku games.
NOTE: The following post contains real medical images.
As more technology is folded into medical environments all over the world, Wolfram’s European branch has taken on work with the United Kingdom’s National Health Service (NHS) in an effort to partially automate the process of cancer diagnosis. The task is to use machine learning to avoid checking thousands of similar-looking images of people’s insides by hand for signs of cancer.
Version 12.1 of the Wolfram Language introduces the long-awaited Video object. The Video object is completely (and only) out-of-core; it can link to an extensive list of video containers with almost any codec. Most importantly, it is bundled with complete stacks for image and audio processing, machine learning and neural nets, statistics and visualization and many more capabilities. This already makes the Wolfram Language a powerful video computation platform, but there are still more features to explore.
After working our way through chemical reactions, solutions and structure and bonding, we close out our step-by-step chemistry series with quantum chemistry. Quantum chemistry is the application of quantum mechanics to atoms and molecules in order to understand their properties.
Have you ever wondered why the periodic table is structured the way it is or why chemical bonds form in the first place? The answers to those questions and many more come from quantum chemistry. Wolfram|Alpha and its step-by-step chemistry offerings won’t make the wave-particle duality any less weird, but they will help you connect chemical properties to the underlying quantum mechanical behavior.
The step-by-step solutions provide stepwise guides that can be viewed one step at a time or all at once while working through a problem. Read on for example problems covering orbital diagrams, frequency and wavelength conversions, and mass-energy equivalence.
We’re back this week with more chemistry, to explore molecular structure and bonding with Wolfram|Alpha and its step-by-step chemistry offerings. Read more on chemical reactions and solutions from previous weeks, and join us next week for our final installment on quantum chemistry!
Structure and bonding in chemistry refer to where the atoms in a molecule are and what holds those atoms together. Molecules are held together by chemical bonds between the atoms comprising the molecule. Understanding the interplay between molecular structure and the electrons involved in bonding is what facilitates the design of new molecules, the control of chemical reactions and a better understanding of the molecules around us.
To master structure- and bonding-related calculations, the step-by-step solutions provide stepwise guides that can be viewed one step at a time or all at once. Read on for example problems covering Lewis structures, oxidation numbers and orbital hybridization.
Mathematica was initially built to be a universal solver of different mathematical tasks for everything from school-level algebraic equations to complicated problems in real scientific projects. During the past 30 years of development, over 250 mathematical functions have been implemented in the system, and in the recent release of Version 12.1 of the Wolfram Language, we’ve added many more, ranging from the elementary Sin function to the advanced Heun functions.