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The Fusion of Robotics, AI, and AR/VR: A 2024 Revolution in Manufacturing

Unite.AI

In 2024, the manufacturing industry is currently at the doorstep of a transformational era, one marked by the seamless integration of robotics, artificial intelligence (AI), and augmented reality/virtual reality (AR/VR). However, recent advancements in robotics have elevated their role from mere tools to intelligent collaborators.

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Meet PyPose: A PyTorch-based Robotics-Oriented Library that Provides a Set of Tools and Algorithms for Connecting Deep Learning with Physics-based Optimization

Marktechpost

Deep learning is finding its utility in all aspects of life. Consequently, it has been widely used in robotics, too. It has become successful in robotics. It has become successful in robotics. PyPose is a user-friendly toolkit tailored for researchers and developers in the robotics domain.

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Top 10 Techniques for Deep Learning that you Must Know!

Analytics Vidhya

Introduction Over the past several years, groundbreaking developments in machine learning and artificial intelligence have reshaped the world around us. There are various deep learning algorithms that bring Machine Learning to a new level, allowing robots to learn to discriminate tasks utilizing the human […].

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Deep Learning Techniques for Autonomous Driving: An Overview

Marktechpost

Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology. These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution.

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Turning the Tide on Coral Reef Decline: CUREE Robot Dives Deep With Deep Learning

NVIDIA

Researchers are taking deep learning for a deep dive, literally. The Woods Hole Oceanographic Institution (WHOI) Autonomous Robotics and Perception Laboratory ( WARPLab ) and MIT are developing a robot for studying coral reefs and their ecosystems. It also runs models to navigate and collect data autonomously.

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Enhancing Underwater Image Segmentation with Deep Learning: A Novel Approach to Dataset Expansion and Preprocessing Techniques

Marktechpost

Underwater image processing combined with machine learning offers significant potential for enhancing the capabilities of underwater robots across various marine exploration tasks. Researchers increasingly use deep learning techniques for underwater image segmentation to address these challenges.

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This 200-Page AI Report Covers Vector Retrieval: Unveiling the Secrets of Deep Learning and Neural Networks in Multimodal Data Management

Marktechpost

Artificial Intelligence has witnessed a revolution, largely due to advancements in deep learning. This shift is driven by neural networks that learn through self-supervision, bolstered by specialized hardware. Before the advent of deep learning, data representation often involved manually curated feature vectors.