Towards AI

FEBRUARY 21, 2025

Plus, as someone whos authored books like Deep Reinforcement Learning (Springer Nature) and Convolutional Neural Networks, (Packt), I believe in pushing boundaries, not building walls. Its about finding that sweet spot, that balance between wild west freedom and responsible AI citizenship. Its a New Frontier, baby!

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Convolutional Neural Networks Neural Network AI AI 77

TransOrg Analytics

FEBRUARY 11, 2025

Model-Specific Methods (tailored to specific AI models) DeepLIFT Explains decisions in deep neural networks by comparing neuron activations to a baseline. Grad-CAM Highlights important regions in an image used by convolutional neural networks for classification.

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Explainable AI Explainability Convolutional Neural Networks Neural Network 52

Google Research AI blog

JANUARY 18, 2023

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. These are all issues we consider carefully when deciding when and how to deploy these models responsibly. Let’s get started!

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Computer Vision Auto-classification Large Language Models Neural Network 132

AWS Machine Learning Blog

FEBRUARY 24, 2023

The impact is more for models using a convolutional neural network (CNN). He is currently focused on natural language processing, responsible AI, inference optimization and scaling ML across the enterprise. We diagnose this behavior further in the following section.

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BERT NLP Computer Vision Neural Network 104

Pickl AI

JULY 14, 2023

Deep Learning, a subfield of ML, gained attention with the development of deep neural networks. Moreover, Deep Learning models, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), achieved remarkable breakthroughs in image classification, natural language processing, and other domains.

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Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

Heartbeat

OCTOBER 12, 2023

Hybrid Models : Researchers are exploring hybrid models that combine the strengths of LLMs with specialized neural networks designed for image processing (convolutional neural networks or CNNs) or audio analysis (recurrent neural networks or RNNs).

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Pickl AI

AUGUST 1, 2024

Here are some of the key applications of Deep Learning in healthcare: Medical Imaging Deep Learning algorithms, particularly convolutional neural networks (CNNs), excel at analysing medical images like X-rays, CT scans, and MRIs.

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Deep Learning Neural Network Machine Learning Natural Language Processing 52

Google Research AI blog

FEBRUARY 23, 2023

Previous work had shown that convolutional neural networks (CNNs) could interpret ultrasounds acquired by trained sonographers using a standardized acquisition protocol. Top Google Research, 2022 & beyond This was the seventh blog post in the “Google Research, 2022 & Beyond” series.

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