Yearly Archives: 2021

In the ever-evolving field of artificial intelligence, the pursuit of large-scale deep-learning models capable of handling complex tasks has been at the forefront. These models, often powered by billions of parameters, have demonstrated remarkable capabilities in...
In the ever-evolving world of podcasting, language barriers have long stood as a formidable obstacle to the global reach of audio content. However, recent developments signal a promising solution to this challenge. Spotify, the streaming giant,...

ETH Zurich Team Introduce Exemplar Transformers: A New Efficient Transformer Layer For Real-Time Visual Object Tracking

Visual tracking involves estimating the trajectory of an object in a video series, which is one of the fundamental challenges in computer vision. With...

Researchers Develop ‘Garment4D’: A Garment Reconstruction Model Using Point Cloud Sequences

Virtual try-on, virtual reality/augmented reality, and visual effects all use garment reconstruction. With the use of implicit representation or volumetric representation, extensive efforts have...

OpenAI Introduces ‘GLIDE’ Model For Photorealistic Image Generation

Images, such as graphics, paintings, and photographs, may frequently be explained in language, but they might also take specific talents and hours of effort...

Baidu And PCL Team Introduce ERNIE 3.0 Titan: A Pre-Training Language Model With 260 Billion Parameters

With recent breakthroughs in AI, humans have become more reliant on AI to address real-world problems. This makes humans' ability to learn and act...

Researchers At Johns Hopkins Introduce A Machine Learning Model That Can Allow Computers To Understand Human Conversation

Human conversation is dynamic, with many exceptions and unexpected ways to express oneself. In recent years, significant progress has been made to help machine...

Google AI Introduces ‘Federated Reconstruction’ Framework That Enables Scalable Partially Local Federated Learning

Federated learning is a machine learning technique in which an algorithm is trained across numerous decentralized edge devices or servers, keeping local data samples...

Researchers Compare Deep Learning (DL) Algorithms For Diagnosing Bacterial Keratitis via External Eye Photographs

Viral keratitis, bacterial keratitis, fungal keratitis, and parasitic keratitis are all types of infectious keratitis. Bacterial Keratitis (BK) is a kind of Infectious Keratitis...

Microsoft Introduces the Next Generation of the Conversational Language Understanding Client Library

The demand for intelligent technologies that can interpret brief text has increased. As increasingly sophisticated solutions are produced, there is a greater need to...

UC Berkeley Researchers Introduce the Unsupervised Reinforcement Learning Benchmark (URLB)

Reinforcement Learning (RL) is a robust AI paradigm for handling various issues, including autonomous vehicle control, digital assistants, and resource allocation, to mention a...

Researchers from the University of Chicago and Tel Aviv University Introduce ‘Text2Mesh’: A Novel Framework to Alter both Color and Geometry of 3D Meshes...

In recent years, neural-based generative models have been at the center of attention for their exceptional capability of creating aesthetically attractive graphical content seemingly...

New World Record for DPU Performance Set by NVIDIA BlueField

Data centers require incredibly rapid storage access, and as per the latest report by NVIDIA, Its BlueField-2 DPU is the fastest available. NVIDIA's recent testing...

AI Researchers Propose An Easy-To-Use Federated Learning Framework Called ‘FedCV’ For Diverse Computer Vision Tasks

Federated Learning (FL) is a distributed learning paradigm that can learn a global or a personalized model for each user relying on decentralized data...

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