The graph shows the positions of three types of corporate AI solutions, namely Chat GPT, DALL E and Neuralangelo. These three products are contemporary examples of Large Language Models, Generative AI and 3D image reconstruction, respectively.

DeepSeek is the most publicised result of these efforts, but other forms of neural networks have achieved even greater reductions in processing. We will discuss a case where elimination of uncertainty within the numerical method results in better performance, and how that has been achieved.

In our last blog post we introduced the concept of experts, which play an important role within Large Language Models.

Experts are one method of reducing the complexity of training and using an LLM translator. In daily life human experts have much greater confidence in their conclusions than those who lack experience, they avoid endless trawling through data by using their knowledge of a subject.

During the evolution of automatic translators, it was realised that the chance of a word occurring in a sentence was highly dependent on the structure of the sentence. A sentence that contains the word ‘tomato’ is much more likely to include ‘greenhouse’ than ‘particle accelerator’.

There has been much discussion about DeepSeek in the media and the step change in share prices of OpenAI and NVIDIA that it caused. It is our intention in this short article to provide a history to the creation of the DeepSeek product and surmise how it will impact the wider AI landscape.

As AI technology continues to evolve, so too will the legal frameworks governing its use in creative industries.

As artificial intelligence becomes an integral part of creative industries, small and medium enterprises (SMEs) must navigate a complex copyright landscape. While fully AI-generated content generally lacks copyright protection, businesses can take steps to ensure their AI-assisted creations remain legally protected. In this article, we explore practical strategies for safeguarding intellectual property in an AI-driven world.

As artificial intelligence continues to transform creative industries, many small and medium enterprises (SMEs) are asking a crucial question: who owns the rights to AI-generated content? The answer isn’t straightforward, as copyright laws in the USA, EU, and UK are still evolving to address this challenge. This article explores the current legal landscape and what it means for SMEs using AI-powered tools.

At the forefront of innovation, businesses are continuously searching for ways to harness the power of AI to stay competitive. As a leader in AI for 3D reconstruction, Aralia Systems recognises the unique challenges and opportunities that come with adopting AI in the creative industries.