Carnegie Mellon University

Generative models have emerged as transformative tools across various domains, including computer vision and natural language processing, by learning data distributions and generating samples from them. Among these models, Diffusion Models (DMs) have garnered attention for...
Earlier, with the adoption of computer vision, its studies weren't content to only scan 2D arrays of flat "patterns." Rather, they sought to understand images as projections of 3D scenes. Initially, researchers created several intermediate tasks...

Latest Artificial Intelligence (AI) Research From CMU And Meta Demonstrates How Machine Learning’s Potential Can Be Leveraged To Identify Low Energy Adsorbate-Surface Configurations More...

Over the last decade, computational catalysis has emerged as one of the most active research areas, and it is currently a vital tool for...

Latest Machine Learning (ML) Research From CMU Presents Causal Imitation Learning Under Temporally Correlated Noise

A form of social learning, imitation is how new behaviors are picked up. Understanding how to communicate, interact socially, and control one's emotions while...

Latest Machine Learning Research From CMU Introduces ‘DASH,’ a Differentiable NAS Algorithm that Computes the Mixture of Operations Using the Fourier Diagonalization of Convolution,...

The ground-breaking research conducted in the last ten years is mainly responsible for the remarkable achievements gained in machine learning. Machine learning applications are...

CMU Researchers Introduce a Content-based Search Engine for Modelverse, a Model-Sharing Platform that Contains a Diverse Set of Deep Generative Models

The goal of the content-based model search is introduced, which tries to locate the most relevant deep image generative models that fulfill a user's...

Researchers at Meta AI Introduce EditEval: An Instruction-Based Benchmark for Text Improvements

For various applications, including question answering, textual entailment, and summarization, large pre-trained language models have demonstrated excellent text production capabilities. However, most work using...

A new Speech Recognition Pipeline from CMU Research can recognize almost 2000 Languages without Audio

Voice-to-text processing has advanced significantly in recent years, making the occasional failures in AI-powered speech recognition systems little more than curious outliers. However, most...

CMU Researchers Propose Persistent Independent Particles (PIPs): A Computer Vision Method For Multi-frame Point Trajectory Estimation Through Occlusions

The challenge of motion estimation is important to computer vision and has far-reaching implications. Tracking makes it possible to create models of an object's...

Latest AI Research From CMU and LinkedIn Explains Long-term Dynamics of Fairness Intervention in Connection Recommender Systems

Nowadays, several social networking sites heavily rely on connection recommendations. Surveys reveal that connection suggestions may make up more than 50% of the social...

CMU Researcher Uses Deep Reinforcement Learning to help Control Nuclear Fusion Reactions

The process of joining two hydrogen nuclei to create a single, heavier nucleus is known as nuclear fusion. Massive amounts of energy are released...

In Latest Machine Learning Research, A Group at CMU Release a Simple and Efficient Implementation of Recurrent Model-Free Reinforcement Learning (RL) for Future Work...

Most real-world situations involve noise and incomplete information, unlike decision-making algorithms, which often concentrate on simple problems where most information is already available. To...

CMU and Google Researchers Open-Source ‘python_graphs’, a Library for Representing Python Programs as Graphs for Machine Learning Research

Graphs are the ultimate tools of storytelling for Data scientists and engineers, but there exists another type of graph called code graphs. These graphs...

Using Graph Neural Networks, CMU Researchers Trained Generative Adversarial Networks to Correctly Predict the Coherent Orientations of Galaxies in a State-of-the-Art Cosmological Simulation

Physics has a branch called cosmology that examines the entire cosmos. It seeks to answer fundamental questions about nature by investigating various things like...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

0
Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

Finally, the Wait is Over: Meta Unveils Llama 3, Pioneering a New Era in...

0
Meta has revealed its latest large language model, the Meta Llama 3, which is a major breakthrough in the field of AI. This new model is not just...

TrueFoundry Releases Cognita: An Open-Source RAG Framework for Building Modular and Production-Ready Applications

0
The field of artificial intelligence is rapidly evolving, andย takingย a prototype to production stage can be quite challenging. However, TrueFoundry has recently introduced a new...

Meet Zamba-7B: Zyphra’s Novel AI Model That’s Small in Size and Big on Performance

0
In the race to create more efficient and powerful AI models, Zyphra has unveiled a significant breakthrough with its new Zamba-7B model. This compact,...

WizardLM-2: An Open-Source AI Model that Claims to Outperform GPT-4 in the MT-Bench Benchmark

0
A team of AI researchers has introduced a new series of open-source large language models named WizardLM-2. This development is a significant breakthrough in...

Recent articles

๐Ÿ FREE AI Courses on RAG + Deployment of an Healthcare AI App + LangChain Colab Notebook all included

X