Machine Learning

In the field of artificial intelligence, machine learning is a branch that uses data and algorithms to imitate human learning. It’s an ongoing process in which computers can improve their accuracy over time through practice with large amounts or “data sets.”

Northwestern University Researchers Used Machine Learning To Identify Speech Patterns In...

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According to observations, children with autism frequently speak more slowly than similarly developing kids. They differ in their speech in other ways, most notably...

Google AI Researchers Propose SAVi++: An Object-Centric Video Model Trained To...

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The complexity of the natural world, which is made up of different entities, results from the combined, largely autonomous actions of the entities. To...

Researchers From INRIA France Propose ‘Pythae’: An Open-Source Python Library Unifying...

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Variational AutoEncoders (VAE) have grown in popularity due to their scalability and computational efficiency. It is widely used in voice modeling, clustering, and data...

Meet Pachama, An AI Technology Platform That Uses Satellite Data And...

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According to the International Union for Conservation of Nature, stopping deforestation and fostering forest restoration might help achieve more than one-third of the necessary...

Google AI Introduces The Auto Arborist Dataset: A Multiview Urban Tree...

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Researchers and policymakers can quantify ecosystem services, such as the improvement of air quality, carbon sequestration, and benefits to public health, track damage from...

DeepMind Researchers Develop ‘BYOL-Explore’: A Curiosity-Driven Exploration Algorithm That Harnesses The...

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Reinforcement learning (RL) requires exploration of the environment. Exploration is even more critical when extrinsic incentives are few or difficult to obtain. Due to...

Meet ‘AIDoc’, An Israel-based Startup Developing AI Tools that can Analyze...

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Global healthcare systems today face escalating difficulties made worse by the pandemic. According to Morning Consult, hospitals across the United States are currently experiencing...

Stanford and TRI AI Researchers Propose the Atemporal Probe (ATP), A...

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The idea that information provided through videos is better understood is based on the observation that information is seen throughout numerous images instead of...

Amazon AI Researchers Open-Source ‘Syne Tune’: A Novel Python Library For...

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Deep learning models with billions of parameters are trained through gradient-based stochastic optimization, thanks to powerful algorithms, systems, and hardware advancements. These algorithms include...

AI Researchers Propose Neural Diffusion Processes (NDPs), A Novel Approach Based...

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Neural Diffusion Processes (NDPs), a proposed denoising diffusion model approach for learning probabilities on function spaces and generating prior and conditional function samples. NDPs...