DeepMind

Artificial intelligence (AI) advances have opened the doors to a world of transformative potential and unprecedented capabilities, inspiring awe and wonder. However, with great...

It has always been astounding how quickly humans can adjust to their environment. Artificial intelligence agents have been developed over many years to replicate...

Modeling and rendering 3D scenes can have immense applications in the fields like VR, Game development, and Design and Animation. Neural Radian Field (NeRF)...

The latest paper (“Mastering Diverse Domains through World Models”) from Deepmind talks about an RL agent that can master diverse domains through World Models...

The term "meta-learning" refers to the process by which a learner adjusts to a new challenge by modifying an algorithm with known parameters. The...

Language facilitates crucial interactions for and between physicians, researchers, and patients in the compassionate field of medicine. But the use of language by current...

HVAC (heating, ventilation, and air conditioning) accounts for a sizable portion of the world's CO2 emissions. Around 10% of the entire electricity demand for...

People account for the forecasted weather in every aspect of their lives, from choosing an outfit to what to do in the event of...

Language models are incredibly popular right now, especially in light of recent technological developments in this area. These models have demonstrated significant potential for...

Human preferences on any topic have become diverse. Coming up with a statement that the majority of the population agrees with seems to be...

The stationary batch scenario, where fixed training and test sets are sampled using a static, unchanging data distribution, has received much attention from the...

Imagine if we could study the motion of objects in videos by tracking their position and orientation and how different points on the object...

Raw movies are massive and must be compressed before being saved on a disc; once loaded, they are decompressed and placed in device memory...

Benchmarks have influenced artificial intelligence (AI) in defining research goals and enabling researchers to track progress toward those goals. An important component of intelligence is...

Improving the efficiency of algorithms for fundamental computations is a crucial task nowadays as it influences the overall pace of a large number of...

Understanding how regularisation affects the properties of the learned solution is a blooming research topic. This is a particularly crucial component of deep learning....

Technological advancements strive to develop AI models that communicate more efficiently, accurately, and safely. Large language models (LLMs) have achieved outstanding success in recent...

Behavior cloning is a versatile class of techniques that transfer behaviors from expert demonstrations in control or reinforcement learning (RL) situations. These include a...

Human behavior is organized on various levels, from millisecond muscle twitches to cognitive judgments made in hundreds of milliseconds to longer-term socially informed goal-directed...

Transframer is a new general-purpose framework for image modeling and vision applications based on probabilistic frame prediction released by Deepmind researchers. This new paradigm...

Artificially intelligent (AI) agents are increasingly being adopted for various tasks. Studies have concluded that the goal-directed behavior of AI agents may be dangerous...

Proteins are the foundation for all biological processes in all living things and are the basic building blocks of life. Knowing a protein's structure...

Recent research has shown that model-based reinforcement learning is incredibly effective. However, learning a model separately from using it during planning can be challenging...

Graph-native neural networks, or GNNs, offer a user-friendly method for performing node-level, edge-level, and graph-level prediction tasks. These deep learning techniques are specifically made...

Atari video games, board games like chess and go, scientific difficulties like protein folding, and language modeling—all of these activities are now being mastered...

A DeepMind research group conducted a comprehensive generalization study on neural network architectures in the paper 'Neural Networks and the Chomsky Hierarchy', which investigates...

For several years, the Stratego board game has been regarded as one of the most promising areas of research in Artificial Intelligence. Stratego is...

DeepMind Researchers recently expressed concern about how reinforcement learning (RL) agents might use pertinent information to guide their judgments. They have published a new...

Reinforcement learning (RL) requires exploration of the environment. Exploration is even more critical when extrinsic incentives are few or difficult to obtain. Due to...

In our day-to-day life, humans make a lot of decisions. Flexibly applying prior experiences to a novel scenario is required for effective decision-making. One...

This Article is written as a summay by Marktechpost Staff based on the Research Paper 'Data Distributional Properties Drive Emergent In-Context Learning in Transformers'. All...

This Article is written as a summay by Marktechpost Staff based on the Research Paper 'Meta-Learning Sparse Compression Networks'. All Credit For This Research...

The aim of AI research has always been to create agents that can naturally interact with humans. However, evaluating these interactions is growing more...

In the latest DeepMind research, the research group constructed a 3D virtual environment "made of a randomized set of rooms and a large number...

This Article Is Based On The Research Paper 'Normalizing flows for atomic solids'. All Credit For This Research Goes To The Researchers of This...

This Article Is Based On The Research Paper 'A Generalist Agent'. All Credit For This Research Goes To The Researchers 👏👏👏 Please Don't Forget To...

This Article Is Based On The Research Paper 'Flamingo: a Visual Language Model for Few-Shot Learning'. All Credit For This Research Goes To The...

This Article Is Based On The Research Paper 'FAIR NORMALIZING FLOWS'. All Credit For This Research Goes To The Researchers Of This Paper 👏👏👏 ✍...

This research summary is based on the paper 'Training Compute-Optimal Large Language Models' Please don't forget to join our ML Subreddit Extreme-scale language models have recently...

Epigraphy is the study of ancient texts—inscriptions—written by individuals, organizations, and institutions in the ancient world on durable materials (stone, pottery, metal). Thousands of...

Fine-tuning is required for a range of functions performed by multimodal image–language transformers. Researchers worldwide are interested in whether these algorithms can detect verbs...

Researchers have been looking for a source of clean, inexhaustible energy to alleviate the global energy dilemma for a long time. One option is...

Deepmind Open-sources 'DM21', a neural network model for mapping electron density to chemical interaction energy, a critical component of quantum mechanical modeling. DM21 outperforms...

Large generative language models (LMs) such as GPT-3 and Gopher have proven the ability to generate high-quality text. However, these models run the danger...

Computer programming has become a general-purpose problem-solving tool in our daily lives, industries, and research centers. Yet, it has been proven difficult to incorporate...

The supervised learning architectures generally require a massive amount of labeled data. Acquiring this vast amount of high-quality labeled data can turn out to...

As a common and (sometimes) proven belief, deep learning systems seem to learn uninterpretable representations and are far from human understanding. Recently, some studies...

Language is an essential human component because of its role in demonstrating and promoting comprehension - or intellect. It allows people to express ideas,...

The ventral visual stream is widely known for supporting the perception of faces and objects. Extracellular single neuron recordings define canonical coding principles at...

The ImageNet database, which was first introduced at the Conference of Computer Vision and Pattern Recognition in 2009 and today contains over 14 million...

For many people stacking one thing on top of another seems to be a simple job. Even the most advanced robots, however, struggle to...

DNA contains the genetic information that influences everything from eye color to illness and disorder susceptibility. Genes, which are around 20,000 pieces of DNA...

Weather plays an important role in our everyday lives. Among other weather conditions, rain influences our day-to-day decisions significantly. Weather forecasting has always been...

Web mapping services like Google Maps are excellent tools for dynamically navigating portions of the Earth, especially in urban areas. These tools are not...

Recently, DeepMind has open-sourced Perceiver IO--a general-purpose deep learning model architecture that can handle many different types of inputs and outputs. This "drop-in" replacement...

Deepmind introduces PonderNet, a new algorithm that allows artificial neural networks to learn to think for a while before answering. This improves the ability...

Deep reinforcement learning (deep RL) has seen promising advances in recent years and produced highly performant artificial agents across a wide range of training...

Deep learning algorithms are widely used in numerous AI applications because of their flexibility and computational scalability, making them suitable for complex applications. However,...

DeepMind recently released a state-of-the-art deep learning model called Perceiver via a recent paper. It adapts the Transformer to let it consume all the types...

Last year DeepMind presented AlphaFold v2, which predicts 3D structures of proteins down to atomic accuracy. Today they share the methods in their latest...

Human consciousness is an exceptional ability that enables us to generalize or adapt well to new situations and learn skills or new concepts efficiently....

Machine learning techniques usually assume that the training and test data were generated from the same statistical distribution. This assumption, however, doesn’t go well...

Recently, researchers at DeepMind have proposed manipulation-independent representations (MIR) to support successful imitation of behaviors demonstrated by previously unseen manipulator morphologies using only visual...

Google AI, in collaboration with DeepMind and the University of Toronto, has recently introduced DreamerV2. It is the first Reinforcement Learning (RL) agent based...

A team of researchers at DeepMind introduces Normalizer-Free ResNets (NFNets) and demonstrates that the image recognition model can be trained without batch normalization layers....

Alchemy, a novel open-source benchmark for meta Reinforcement learning (RL) in the recent decade, has garnered much attention in the ML field. The RL...

Previously, DeepMind has used reinforcement learning to teach programs to master various games such as the Chinese board game 'Go,' the Japanese strategy game...

Neural networks have achieved success in various perceptual tasks. However, it is stated that they are ineffective in solving problems requiring higher-level reasoning. Recent...

JAX is a Python library developed by Google researchers for high-performance numerical computing. Its API is based on NumPy. NumPy is a collection of...

Google’s DeepMind introduces an AI system, AlphaFold, that can accurately predict how proteins fold into shapes. Proteins comprise strings of amino acids that are fundamental building...

DeepMind recently open-sourced a software system called Lab2D. Lab2D is designed to support the creation of 2D environments for artificial intelligence and machine learning research.  The...

For cutting-edge AI researchers looking for clean semantics models to represent the context-specific causal dependencies essential for causal induction, this DeepMind's algorithm encourages you to look at...

The Fermionic Neural Network (FermiNet) is one of the first deep learning demonstrations for computing atomic energy. Fermionic Neural Network is a new neural...

If you are one of those who start their journey by setting the route on Google Maps, Google brings you a better version of...