Applications

Understanding No-Code AI And Top No-Code Machine Learning (ML) Tools For...

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AI applications have made their way into almost every sector, yet; businesses fail to adopt them. According to Forbes, 83 percent of companies think...

Google AI Introduces ‘StylEx’: A New Approach For A Visual Explanation...

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Neural networks are capable of completing a wide range of tasks. Understanding how they arrive at their decisions, on the other hand, is frequently...

Deepmind Researchers Propose ‘ReLICv2’: Pushing The Limits of Self-Supervised ResNets

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The supervised learning architectures generally require a massive amount of labeled data. Acquiring this vast amount of high-quality labeled data can turn out to...

Google AI Introduces a Method Called Task-Level Mixture-of-Experts (TaskMoE), that Takes...

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Large-scale language model scaling has resulted in considerable quality gains in natural language understanding (T5), generation (GPT-3), and multilingual neural machine translation (M4). One...

Microsoft AI Team Proposes DeepSpeed MoE Model: An End-to-End MoE Training...

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The mixture of experts (MoE) is a promising deep learning model architecture that can minimize training cost complexity to several sublinear parameters. An ensemble...

Top Emerging Computer Vision Trends For 2022

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The purpose of Computer Vision (CV) is to allow machines to obtain valuable information from their surroundings, by analyzing visual data that can be...

Researchers at Meta and the University of Texas at Austin Propose...

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The difficulty of object detection is divided into two parts: detecting the object (localization) and labeling it (classification). Traditional techniques rely on box labels...

Researchers Introduce ‘SeMask’: An Effective Transformer-Framework That Incorporates Semantic Information Into...

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After demonstrating the transformer’s efficiency in the visual domain, the research community has focused on extending its use to several fields. One of these...

Google Health’s New AI Study Achieves New Advances In Identification Of...

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Studies have shown that genetic diseases can cause critical illnesses. Early detection of the underlying problem allows for life-saving treatments in many situations. Recent...

Latest CMU Research Improves Reinforcement Learning With Lookahead Policy: Learning Off-Policy...

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Reinforcement learning (RL) is a technique that allows artificial agents to learn new tasks by interacting with their surroundings. Because of their capacity to...
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