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Understanding The Concept Of Convolutional Neural Networks (CNNs)

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Deep learning techniques are based on neural networks, which are a subset of machine learning. They're made up of node levels, each of which...

CMU Researchers Propose A Computer Vision-Based Approach With Data-Frugal Deep Learning...

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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...

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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

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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...

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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...
Natural Language Understanding and Natural Language Generation

Amazon Research Introduces Deep Reinforcement Learning For NLU Ranking Tasks

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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...

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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...

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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...

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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)

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