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Fetch.ai launches first Web3 agentic AI model

AI News

This launch marks the beginning of ASI-1 Minis rollout and a new era of community-owned AI. By decentralising AIs value chain, were empowering the Web3 community to invest in, train, and own foundational AI models, said Humayun Sheikh, CEO of Fetch.ai and Chairman of the Artificial Superintelligence Alliance.

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How to Make an Image Classification Model Using Deep Learning?

Analytics Vidhya

Introduction In the 21st century, the world is rapidly moving towards Artificial Intelligence and Machine Learning. Various robust AI Models have been made that perform far better than the human brain, like deepfake generation, image classification, text classification, etc. Companies are investing vast […].

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ML and AI Model Explainability and Interpretability

Analytics Vidhya

We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems.

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Deep Learning Used to Discover Antibiotics to Combat Drug-Resistant Bacteria

Analytics Vidhya

Their revolutionary approach utilizes explainable deep learning to identify compounds capable of combating […] The post Deep Learning Used to Discover Antibiotics to Combat Drug-Resistant Bacteria appeared first on Analytics Vidhya.

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Damian Bogunowicz, Neural Magic: On revolutionising deep learning with CPUs

AI News

AI News spoke with Damian Bogunowicz, a machine learning engineer at Neural Magic , to shed light on the company’s innovative approach to deep learning model optimisation and inference on CPUs. We have developed our own sparsity-aware runtime that leverages CPU architecture to accelerate sparse models.

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AI Singularity and the End of Moore’s Law: The Rise of Self-Learning Machines

Unite.AI

However, AI is overcoming these limitations not by making smaller transistors but by changing how computation works. Instead of relying on shrinking transistors, AI employs parallel processing, machine learning , and specialized hardware to enhance performance. However, Tesla is not alone in this race.

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Bayesian Deep Learning is Needed in the Age of Large-Scale AI [Paper Reflection]

The MLOps Blog

Abstracting away the specifics of his case, this is one example of an application in which an AI algorithm’s performance looked good on paper during its development but led to bad decisions once deployed. Uncertainty intervals can encompass aleatoric uncertainty , that is, the uncertainty inherent in the randomness of the world (e.g.,