Author name: aifuturethinkers.com

Introduction In the “ever rapidly changing landscape of Data and AI” (!), understanding data and AI architecture has never been more critical. However something many leaders overlook is the importance of data team structure. While many of you reading this probably identify as the data team, something most don’t realise is how limiting that mindset can be. …

Platform-Mesh, Hub and Spoke, and Centralised | 3 Types of data team Read More »

Research Published 8 December 2022 Authors The AlphaCode team Note: This blog was first published on 2 Feb 2022. Following the paper’s publication in Science on 8 Dec 2022, we’ve made minor updates to the text to reflect this. Solving novel problems and setting a new milestone in competitive programming Creating solutions to unforeseen problems …

Competitive programming with AlphaCode – Google DeepMind Read More »

What if you want to write the whole object detection training pipeline from scratch, so you can understand each step and be able to customize it? That’s what I set out to do. I examined several well-known object detection pipelines and designed one that best suits my needs and tasks. Thanks to Ultralytics, YOLOx, DAMO-YOLO, …

Custom Training Pipeline for Object Detection Models Read More »

Earlier today we announced some changes that will accelerate our progress in AI and help us develop more capable AI systems safely and responsibly. Below is a recap of what DeepMind CEO Demis Hassabis shared with employees: Hi Team When we launched DeepMind back in 2010, many people thought general AI was a farfetched science …

Announcing Google DeepMind – Google DeepMind Read More »

Despite the AI hype, many tech companies still rely heavily on machine learning to power critical applications, from personalized recommendations to fraud detection.  I’ve seen firsthand how undetected drifts can result in significant costs — missed fraud detection, lost revenue, and suboptimal business outcomes, just to name a few. So, it’s crucial to have robust …

How to Spot and Prevent Model Drift Before it Impacts Your Business Read More »

Responsibility & Safety Published 24 April 2023 Authors Iason Gabriel and Kevin McKee Drawing from philosophy to identify fair principles for ethical AI As artificial intelligence (AI) becomes more powerful and more deeply integrated into our lives, the questions of how it is used and deployed are all the more important. What values guide AI? …

How can we build human values into AI? Read More »

“Conduct a comprehensive literature review on the state-of-the-art in Machine Learning and energy consumption. […]” With this prompt, I tested the new Deep Research function, which has been integrated into the OpenAI o3 reasoning model since the end of February — and conducted a state-of-the-art literature review within 6 minutes. This function goes beyond a normal web …

Deep Research by OpenAI: A Practical Test of AI-Powered Literature Review Read More »

Research towards AI models that can generalise, scale, and accelerate science Next week marks the start of the 11th International Conference on Learning Representations (ICLR), taking place 1-5 May in Kigali, Rwanda. This will be the first major artificial intelligence (AI) conference to be hosted in Africa and the first in-person event since the start …

DeepMind’s latest research at ICLR 2023 Read More »

Introduction In a YouTube video titled Deep Dive into LLMs like ChatGPT, former Senior Director of AI at Tesla, Andrej Karpathy discusses the psychology of Large Language Models (LLMs) as emergent cognitive effects of the training pipeline. This article is inspired by his explanation of LLM hallucinations and the information presented in the video. You might have seen …

Unraveling Large Language Model Hallucinations Read More »