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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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What is Transfer Learning in Deep Learning? [Examples & Application]

Pickl AI

Transfer Learning in Deep Learning: A Brief Overview Collecting large volumes of data, filtering it and then interpreting is a challenging task. What if we say that you have the option of using a pre-trained model that works as a framework for data training? Yes, Transfer Learning is the answer to it.

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Meet Swin3D++: An Enhanced AI Architecture based on Swin3D for Efficient Pretraining on Multi-Source 3D Point Clouds

Marktechpost

Point clouds serve as a prevalent representation of 3D data, with the extraction of point-wise features being crucial for various tasks related to 3D understanding. However, the scarcity and limited annotation of 3D data present significant challenges for the development and impact of 3D pretraining.

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Unlocking Deep Learning’s Potential with Multi-Task Learning

Pickl AI

Multi-Task Learning Deep Learning is a towering pillar in the vast landscape of artificial intelligence, revolutionising various domains with remarkable capabilities. Deep Learning algorithms have become integral to modern technology, from image recognition to Natural Language Processing.

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Award-Winning Breakthroughs at NeurIPS 2023: A Focus on Language Model Innovations

Topbots

A key finding is that for a fixed compute budget, training with up to four epochs of repeated data shows negligible differences in loss compared to training with unique data. The paper also explores alternative strategies to mitigate data scarcity.

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AI for Music Generation (Overview)

Viso.ai

Muzic is a “research project on AI music that empowers music understanding and generation with deep learning and artificial intelligence.” Muzic is a research project from Microsoft that uses deep learning techniques for music generation and understanding – source.

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Synthetic Data: A Model Training Solution

Viso.ai

Instead of relying on organic events, we generate this data through computer simulations or generative models. Synthetic data can augment existing datasets, create new datasets, or simulate unique scenarios. Specifically, it solves two key problems: data scarcity and privacy concerns. Technique No.