Many industries are excited to apply artificial intelligence (AI) to an increasingly broad assortment of use cases. One emerging possibility involves using such technology to analyze colors.
Keeping the Roads Safer
“AI already powers many features on today’s modern automobiles. Researchers have developed algorithms that can detect tired or angry drivers.”
The associated…
The online shopping experience has been revolutionized by Virtual Try-On (VTON) technology, offering a glimpse into the future of e-commerce. This technology, pivotal in bridging the gap between virtual and physical shopping experiences, allows customers to picture how clothes will look on them without needing a physical try-on. It is an invaluable tool in an…
How often do machine learning projects reach successful deployment? Not often enough. There's plenty of industry research showing that ML projects commonly fail to deliver returns, but precious few have gauged the ratio of failure to success from the perspective of data scientists – the folks who develop the very models these projects are meant…
Now that the novelty of artificial intelligence has worn off, people are focusing on its responsible use. Ethical algorithms have become a chief concern for many businesses and regulatory agencies. However, you may be unaware of its influence because it’s largely unexplored.
“Across all industries, ethical AI has quickly become the focus of attention.” …
Today’s post is all about Akhil Raju, a software engineer on the robotics team. We originally met Akhil in season two of DeepMind: The Podcast, but we wanted to get to know him better and hear more about his path to DeepMind. What sparked your curiosity in artificial intelligence (AI)? When I was young, I…
What it is and How to apply it to a real-world scenario Photo by Google DeepMind on UnsplashThis year, my resolution is to go back to the basics of data science. I work with data every day, but it’s easy to forget how some of the core algorithms function if you’re completing repetitive tasks. I’m…
Text-to-image generation is a unique field where language and visuals converge, creating an interesting intersection in the ever-changing world of AI. This technology converts textual descriptions into corresponding images, merging the complexities of understanding language with the creativity of visual representation. As the field matures, it encounters challenges, particularly in generating high-quality images efficiently from…
Exploring the Transformer’s Decoder Architecture: Masked Multi-Head Attention, Encoder-Decoder Attention, and Practical Implementation This post was co-authored with Rafael Nardi. In this article, we delve into the decoder component of the transformer architecture, focusing on its differences and similarities with the encoder. The decoder’s unique feature is its loop-like, iterative nature, which contrasts with the…
In the rapidly evolving domain of augmented and virtual reality, creating 3D environments is a formidable challenge, particularly due to the complexities of 3D modeling software. This situation often deters end-users from crafting personalized virtual spaces, an increasingly significant aspect in diverse applications ranging from gaming to educational simulations.
Central to this challenge is the…
Inspired by progress in large-scale language modelling, we apply a similar approach towards building a single generalist agent beyond the realm of text outputs. The agent, which we refer to as Gato, works as a multi-modal, multi-task, multi-embodiment generalist policy. The same network with the same weights can play Atari, caption images, chat, stack blocks…