The recent awarding of the Nobel Prize in Physics to John Hopfield has generated some interest in Hopfield networks. The good news is that it is remarkably easy to understand and implement such a network.

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Ada, Countess of Lovelace was born 200 years ago but her name lives on. In the 1970s the Ada language was named in recognition of her status as the first computer programmer and in 2009 Ada Lovelace Day was inaugurated to celebrate the achievements of women in STEM, Science, Technology, Engineering and Math. Here we tell the of how she worked with Charles Babbage on his Analytical Engine.

Google has released the enterprise version of Gemini Code Assist. This latest version adds the ability to train on internal polices and source code. The product was announced at the Google Cloud Summit in London this week.

The idea of gaining a Professional Certificate is to demonstrate your possession of skills needed to succeed in today's most in-demand fields. News of 30% off edX Professional Certificates prompted us to take a look at what's on offer if you want to acquire skills in AI and Data Science. The two that stood out are both from Harvard University.

Zuplo has launched a new suite of tools that rates the quality of your API, based on its OpenAPI specification. We put it through its paces and find it useful.

JetBrains has formed a new partnership with OpenCV, the world's largest library for computer vision. As part of the collaboration, JetBrains has joined OpenCV as a Silver Member, making PyCharm the official Python IDE for OpenCV.

with many improvements and features. Let's find out all about them.

Microsoft has introduced new libraries for integrating AI services into .NET applications and libraries, along with middleware for adding key capabilities.

As the winner of the Nobel Prize For Physics 2024, Geoffrey Hinton found himself being interviewed multiple times. He used the opportunity to reiterate and explain why he has come to see AI as an existential threat to humanity.

A curated network of knowledge designed to facilitate exploration, discovery, and deep learning in the field of data engineering.

The Royal Swedish Academy of Sciences has awarded a half share of the 2024 Nobel Prize For Chemistry to Demis Hassabis, CEO of Google DeepMind and his colleague John Jumper for "protein structure prediction", referring to the breakthroughs made by their AI Model, AlphaFold.

Valkey, heralded as a better alternative to Redis, has taken the industry by storm. Reinforcing its superiority, a rapidly growing ecosystem is being built around it.

OpenAI has launched an extra facility for developers using ChatGPT. Canvas is described as offering a new way of working with ChatGPT to write and code.

Authors: John Shovic and Alan Simpson
Publisher: For Dummies
Date: April 2024
Pages: 720
ISBN: 978-1394236152
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Audience: People wanting to learn Python
Rating: 2
Reviewer: Mike James
All-in-one refers to the fact that this is seven books put together - why?

Subtitled "A Practical Introduction to Modern Encryption", this thoroughly revised and updated second edition introduces modern cryptography and down fundamental mathematical concepts without shying away from meaty discussions of how they work. Jean-Philippe Aumasson provides insights into topics like authenticated encryption, secure randomness, hash functions, block ciphers, and public-key techniques such as RSA and elliptic curve cryptography.

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After you’re comfortable with Rust’s syntax and its uniquely-powerful compiler, there’s a whole new dimension to explore as you put it to use in real projects. Subtitled "Code like a Rustacean", this book catalogs, documents, and describes both how classic design patterns work with Rust, and the new Rust-specific patterns that will help solve common programming problems and ensure your code is easy for others to understand. Brenden Matthews answers questions such as How do you apply standard design patterns in Rust applications? Where and why should you use IntoIterator? And why do Rustaceans love the PhantomData type?

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This book is a comprehensive study on analog historical simulation games, exploring both their theoretical concepts and practical solutions. Riccardo Masini considers the various ways used by simulation games to depict the different dynamics of historical events and analyzes how commercial analog miniature and board wargames can become valuable tools for historical research and provide a more modern and captivating interpretation of past events.

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