Machine Learning

Using State-Of-The-Art Artificial Intelligence (AI) Models for Free: Try OPT-175B on Your Cellphone and Laptop

When it comes to large AI models, remarkable performance in a wide range of applications often brings a big budget for hardware and running...

Researchers from McGill University and Microsoft Introduces Convolutional vision Transformer (CvT) that improves Vision Transformer (ViT) in Performance and Efficiency by Introducing Convolutions into...

Transformers have been widely used in the natural language processing (NLP) domain for years, and their introduction was a turning point for many NLP...

Stability AI Open-Sources Stable Diffusion: An Artificial Intelligence Model That Converts Text To Image

In collaboration with Runway, Machine Vision and Learning research group at LMU Munich, Eleuther AI, and LAION, Stability AI created the Stable Diffusion text-to-image...

Top Innovative Artificial Intelligence (AI) Powered Startups Based in Australia

AI is changing the landscape of technology all around the world. So many companies are using AI to solve real-world problems and make our...

Researchers From POSTECH And NVIDIA Created Two Large-Scale Implicit Datasets, Namely PeRFception-CO3D and PeRFception-ScanNet, That Cover Object-Centric And Scene-Centric Environments

In recent years, advances in implicit representations have shown tremendous accuracy, variety, and resilience in expressing 3D scenes by mapping low dimensional coordinates to...

Researchers from UCLA, UCSD, Peking University, and Beijing Institute for General Artificial Intelligence (BIGAI) have recently developed a new AI System that can explain...

A team of researchers created a new AI system that can explain its decision-making procedures to users who aren't computer scientists. The system may...

Researchers from UC Berkeley and Amazon Introduce an Unsupervised AI Method for Synthesizing Realistic Photos from Scene Sketches

Sketching is a natural means of representing visual signals. With a few light strokes, humans could understand and envision a photo from a sketch....

In a Latest Machine Learning Research, Researchers Question the Ease of Leaking Data from Inverting Gradient Highlighting Dropout is not Enough to Prevent Leakage

To develop a shared machine learning model, federated learning algorithms were created to take advantage of the cooperative usage of dispersed data. Systemic privacy...

Google AI Releases The Patent Phrase Similarity Dataset, A New Human-Rated Contextual Phrase-To-Phrase Semantic Matching Dataset

Part-of-speech tagging, Question answering, Named entity recognition, Speech recognition, Text-to-speech, Language modeling, Translation, Speech-to-text, and Topic modeling are only a handful of the numerous...

Researchers created a Novel Framework called ‘FedD3’ for Federated Learning in Resource-Constrained Edge Environments via Decentralized Dataset Distillation

For collaborative learning in large-scale distributed systems with a sizable number of networked clients, such as smartphones, connected cars, or edge devices, federated learning...

A New Deep Learning Approach Developed at MIT Identifies Undiagnosable Cancers by Taking a Closer Look the Gene Expression Programs Related to Early Cell...

Cancer is partially a developmental illness, with malignancies named for the cell or tissue from which they originate. However, there is no systematic atlas...

Apple Researchers Develop NeuMan: A Novel Computer Vision Framework that can Generate Neural Human Radiance Field from a Single Video

Neural Radiance Fields (NeRF) were first developed, greatly enhancing the quality of new vision synthesis. It was first suggested as a way to rebuild...

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