Artificial Intelligence

A big problem in space research is whether the same stars or galaxies are seen in different sky surveys. Telescopes today gather a ton of data about thousands or even billions of objects using various types...
Providing a virtual environment that matches the actual world, the recent widespread rise of 3D applications, including metaverse, VR/AR, video games, and physical simulators, has improved human lifestyle and increased productive efficiency. These programs are based...

CMU Researchers Propose A Computer Vision-Based Approach With Data-Frugal Deep Learning To Optimize Microstructure Imaging

Materials processing is the process of turning raw materials into final items through a sequence of phases or "unit operations." The activities entail a...

New AI Research Study On The Accuracy Of Distortion Metrics For Audio Adversarial Attacks on Machine Learning Models

With recent developments in machine learning models and their impressive performance in speech recognition tasks, human-computer interaction is becoming increasingly reliant on speech communication....

Researchers Use Machine Learning To Repair Genetic Damage

DNA damage is constantly occurring in cells, either due to external sources or as a result of internal cellular metabolic reactions and physiological activities....

Avalanche Introduces hAIsten AI: A Low-Code SaaS Solution That Speeds Up AI Application Development

Developing artificial intelligence applications is a time-consuming process that takes years to complete. Data scientists, engineers, domain specialists, and many experts must be involved...

Amazon Research Introduces Deep Reinforcement Learning For NLU Ranking Tasks

In recent years, voice-based virtual assistants such as Google Assistant and Amazon Alexa have grown popular. This has presented both potential and challenges for...

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...

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...

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...

A New Google Research Introduces ALX For Large Scale Matrix Factorization on TPUs

One of the most important approaches in recommender systems and graph analysis is matrix factorization. Alternating least squares (ALS) is a basic approach for...

OpenAI Releases A New Feature That Allows Developers To Customize GPT-3, Its Powerful Natural Language Processing (NLP) Model

GPT-3 is the advanced natural language processing model developed by OpenAI. It returns a natural language text completion in response to any text request,...

Google AI Proposes Temporal Fusion Transformer (TFT): An Attention-Based DNN (Deep Neural Network) Model For Multi-Horizon Forecasting

Deep learning technologies, such as automatic learning of temporal dependence and automated handling of temporal structures like trends and seasonality, hold a lot of...

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