UC Berkeley

UC Berkeley And Intel Labs AI Team Introduces GAN-Tuned And Physics-Based...

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This Article Is Based On The Research Paper 'Dancing under the stars: video denoising in starlight'. All Credit For This Research Goes To The...

Microsoft AI Researchers Develop ‘Ekya’ To Address The Problem Of Data...

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This article is based on the research paper 'Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers'. All credit for...

Google AI and UC Berkely Researchers Introduce A Deep Learning Approach...

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The creation of application-specific hardware accelerators has resulted from the advent of ML-based approaches in solving diverse challenges in vision and language. Standard approaches...

Researchers at UC Berkeley Introduce a New Competence-Based Algorithm Called Contrastive...

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In the presence of extrinsic rewards, Deep Reinforcement Learning (RL) is a strong strategy for tackling complex control tasks. Playing video games with pixels,...

In a Latest Computer Vision Research, Waymo Researchers Propose Block-NeRF: A...

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Neural rendering is a big step forward in the quest to create photorealistic multimedia content. Neural rendering is connected to traditional computer graphics and...

UC Berkeley Researchers Introduce ‘imodels: A Python Package For Fitting Interpretable...

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Recent developments in machine learning have resulted in more complicated predictive models, typically at the expense of interpretability. Interpretability is frequently required, especially in...

Deep Learning for Computer Vision is not just Transformers: Facebook AI...

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Looking back to the 2010s, those years were characterized by the resurgence of Neural Networks and, in particular, Convolutional Neural Networks (ConvNet). Since the...

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...

UC Berkeley Research Explains How Self-Supervised Reinforcement Learning Combined With Offline...

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Machine learning (ML) systems have excelled in fields ranging from computer vision to speech recognition and natural language processing. Yet, these systems fall short...

AI Researchers Propose ‘GANgealing’: A GAN-Supervised Algorithm That Learns Transformations of...

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The correspondence problem of visual alignment is one that computer vision algorithms must solve for many different applications.It's considered a critical element in Optical...
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