Three years after their first conversation, Dwarkesh Patel sat down again with Dario Amodei, CEO of Anthropic, for what may be one of the most consequential AI interviews of the year [1]. Here are the highlights of that ...

Kurt Gödel, Alonzo Church and Alan Turing

For nearly a century, our understanding of what can be computed was defined by a person with a pencil and an infinite strip of paper tape. Alan Turing’s "universal machine," proposed in 1936 [1], gave us the blueprint fo...

In the year 2000, the Clay Mathematics Institute laid down a challenge to the world in the form of the Millennium Prize problems [1]. They identified seven of the most fundamental, notoriously difficult unsolved problems...

Introduction

An interview with Claude: "A conversation on your vision for the future of AI"

When we talk about the AI Revolution, the conversation usually starts and ends with software – chatbots, LLMs, and the magical ability to generate reports, code or art from a simple prompt. But this digital magic rests o...

We have finally exited pilot purgatory. The era of treating artificial intelligence as a mere chatbot sidebar or a novelty tool for drafting marketing copy is now clearly over. Today, leading enterprises are not just cha...

Nvidia CEO Jensen Huang took the stage at the GTC conference in Washington D.C. yesterday, not just to announce new products, but to paint a vivid picture of a future fundamentally reshaped by AI. His keynote wasn't mere...

Artificial Intelligence is developing at a pace that mirrors, and in many cases exceeds, the exponential trajectories of computing hardware, algorithms, and data sources. If current trends continue over the next decade, ...

The old world was built on sweat and routine. Hands calloused from working with stone and steel, minds bent beneath the weight of routines, spreadsheets, and meetings. Humanity marched through centuries tethered to neces...

For as long as there have been stories, we have imagined and spoken of other minds. In myth they were gods, spirits, oracles—omniscient voices that spoke with superhuman clarity and knowledge. In science fiction they bec...

I. The Grand Challenge of Unification: String Theory and the "Landscape"

Exploring the universe of spaces – computational, mathematical and physical.

Introduction

1. Introduction

Artificial Intelligence is getting chatty. Not just with us, but with each other. We're entering the era of Agentic AI – smart software agents capable of planning, reasoning, and taking action to achieve goals. The real ...

The world of Artificial Intelligence is buzzing, and the latest excitement isn't just about AI that can chat convincingly. The real frontier has shifted towards something deeper – reasoning. We're moving beyond AI that s...

The landscape of software development is undergoing a seismic shift, driven largely by the rapid advancements in Artificial Intelligence[1]. AI coding assistants are no longer just fancy autocomplete; they are evolving i...

Artificial intelligence is advancing at a breathtaking pace. From chatbots that write prose to systems that drive cars, AI's capabilities evoke both excitement and apprehension. We stand in awe of superintelligent system...

The rapid advancement of LLMs like Anthropic's Claude has ushered in an era of unprecedented capabilities in language and image processing. These models can generate human-quality text, code and mathematics, translate be...

The rise of Large Language Models (LLMs) has opened up exciting possibilities, but integrating them with external data and tools remains a crucial challenge. Two prominent solutions aiming to tackle this are the Model Co...

The rapid evolution of LLMs has empowered developers to build increasingly sophisticated AI applications. However, effectively leveraging the potential of these models often requires the assistance of specialized framewo...

The following is an interview conducted with our CEO Peter Morgan in February 2025, with AI community website AI For Real, https://aiforreal.substack.com

Deep Learning Partnership is delighted to announce that it is partnering with AI regulation and compliance experts Oxethica. This will enable DeepLP to offer AI audit and compliance services on a state of the art digital...

How statistical physics illuminates the workings of deep neural networks.

The short answer is that no one can say with certainty *when* AI might fully replace human scientists - both theoretical and experimental. While we are seeing remarkable AI-based tools that can assist in science (from da...

Introduction

UAT, FSE, and GDL in Deep Learning and PDEs

Figure 1 Different types of geometric data structures

Introduction

Introduction

Introduction

All things being equal, the improvement of humanity is driven largely by scientific discovery. The potential of AI, particularly multimodal LLMs, to accelerate scientific discovery is already proving to be significant [1...

AI's impact on industries is vast and varied. Here's a more detailed look at how it can revolutionize specific sectors:

Introduction

Figure 1 - A multi-dimensional vector space

Introduction - A Look into the Future of Workforce Management

Building the Foundation for Success

Introduction

AI has come a long way in 2023. From the release of GPT4 and more recently Gemini, to many performant open source models such as Llama2, Mistral and Zephyr, to the consensus reached on the EU AI Act. Let’s have a look at...

TL;DR - perseverance is key. But if you're motivated enough you'll do it, no matter what. There is not one clear pathway to becoming an AI Solutions Architect, because we're all coming from different backgrounds and diff...

This is a follow-on to the blog published on ChatGPT on 14 Dec 2022 [1]. In this post we will be focusing specifically on the education sector and look at the evolving developments in policy on students using ChatGPT and...

One way to view the universe is to consider it as being made up of a set of computational systems. Indeed, the universe itself can be thought of as one large and complex computing system. As for ourselves, we are biologi...

ChatGPT is a large language model (LLM) that uses artificial neural networks and reinforcement learning to generate text, almost to human level ability [1]. I say almost, because it can and does make mistakes [2]. It use...

Machine learning (ML) is changing everything. Instead of hard coding certain operations on a classical computer, we instead train neural networks (NN’s), a specific type of ML, on large data sets, fixing their weights, a...

Since I wrote my first few blogs on AI back in 2016 (still available on this site), I think it’s safe to say a lot has happened in the field. Progress in certain areas has been a little faster than some had predicted whi...

Having embarked on a PhD in particle physics and then worked three-years as a Research Associate on a neutrino physics experiment, I like to think I know a thing or two about quantum physics. Also, having been in the ent...

Today I delivered the keynote to 1,200 software engineers and tech leaders at QCon London. It was great and I really enjoyed it along with the AMA (ask me anything) after the talk. Lots of great questions from the engine...

To make artificial general intelligence, or AGI, we have to realize that there are in fact nine different types of intelligence, not just one. Howard Gardner, Professor in Cognition and Education at Harvard, has summed t...