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Inductive biases of neural network modularity in spatial navigation

ML @ CMU

In practice, our algorithm is off-policy and incorporates mechanisms such as two critic networks and target networks as in TD3 ( fujimoto et al., What are the brain’s useful inductive biases? Each module specializes in a specific aspect or a subset of task variables, collectively covering all demanding computations of the task.

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On-Device AI: Making AI Models Deeper Allows Them to Run on Smaller Devices

Dataconomy

in 2015, is a simple yet effective method for creating a smaller, more efficient model (the “student model”) by transferring knowledge from a pre-trained, larger model (the “teacher model”). We’ve made our model and algorithm code open-source, allowing for further research and development.

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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

Discover how to use pre-built algorithms, integrate custom models seamlessly, and harness the power of popular Python libraries within the SageMaker platform. Explore how this powerful tool streamlines the entire ML lifecycle, from data preparation to model deployment.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

Data retrieval and augmentation – When a query is initiated, the Vector Database Snap Pack retrieves relevant vectors from OpenSearch Service using similarity search algorithms to match the query with stored vectors. The retrieved vectors augment the initial query with context-specific enterprise data, enhancing its relevance.

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Llama 4 family of models from Meta are now available in SageMaker JumpStart

AWS Machine Learning Blog

billion, representing a significant increase of approximately 223% over the 7-year period. ### Net Income Growth | Year | Net Income (in billion USD) | | | | | 2014 | 0.236 | | 2015 | 0.596 | | 2016 | 2.37 | | 2017 | 3.03 | | 2018 | 10.07 | | 2019 | 11.59 | | 2020 | 18.68 | | 2021 | 33.4 | | 2022 | 18.7 billion to a projected $574.78

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AI art

Dataconomy

Through various machine learning techniques, artists and non-artists alike can harness the power of algorithms to generate unique visual and auditory experiences. AI art refers to artworks created or enhanced using artificial intelligence technologies. 2015: Google releases DeepDream, popularizing AI’s visual manipulation.

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Scientists Are Using Whale Songs to Map the Ocean Floor

Flipboard

Advanced algorithms then analyze the time difference between direct and reflected sounds, as well as subtle changes in the acoustic signature that occur when sounds interact with different materials. The Role of Artificial Intelligence in Processing Whale Data 6. Image via Pixabay.