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AI Cybersecurity —  Replacement for Specialists or Efficiency Booster?

Dataconomy

AI is rapidly taking its place in the market, penetrating new application areas in ways we couldnt imagine, including AI cybersecurity solutions. The reason is clear: AIs potential for improving efficiency is almost limitless. The use of AI is evident on both sides of the barricades: by attackers and defenders alike.

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CUDA vs cuDNN: The Dynamic Duo That Powers Your AI Dreams

Towards AI

Author(s): Ojasva Goyal Originally published on Towards AI. Fast forward a few years, and as deep learning explodes in popularity, NVIDIA creates cuDNN, a specialized library built on top of CUDA that’s specifically designed to make neural networks run faster than a caffeinated cheetah.

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Inductive biases of neural network modularity in spatial navigation

ML @ CMU

Motivation Despite the tremendous success of AI in recent years, it remains true that even when trained on the same data, the brain outperforms AI in many tasks, particularly in terms of fast in-distribution learning and zero-shot generalization to unseen data. In the emerging field of neuroAI ( Zador et al.,

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Map Earth’s vegetation in under 20 minutes with Amazon SageMaker

AWS Machine Learning Blog

We pick the first week of December 2023 in this example. By utilizing the search_raster_data_collection function from SageMaker geospatial, we identified 8,581 unique Sentinel-2 images taken in the first week of December 2023. Janosch Woschitz is a Senior Solutions Architect at AWS, specializing in AI/ML.

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How to Work Smarter, Not Harder, with Artificial Intelligence

Flipboard

As artificial intelligence (AI) continues to transform industries—from healthcare and finance to entertainment and education—the demand for professionals who understand its inner workings is skyrocketing. Yet, navigating the world of AI can feel overwhelming, with its complex algorithms, vast datasets, and ever-evolving tools.

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Rad AI reduces real-time inference latency by 50% using Amazon SageMaker

AWS Machine Learning Blog

This post is co-written with Ken Kao and Hasan Ali Demirci from Rad AI. Rad AI has reshaped radiology reporting, developing solutions that streamline the most tedious and repetitive tasks, and saving radiologists’ time. In this post, we share how Rad AI reduced real-time inference latency by 50% using Amazon SageMaker.

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I Won $10,000 in a Machine Learning Competition — Here’s My Complete Strategy

Flipboard

The world’s leading publication for data science, AI, and ML professionals. Want to build your AI skills? 👉🏻 I run the AI Weekender , which features fun weekend AI projects and quick, practical tips to help you build with AI. I’ve worked as a data scientist in FinTech for six years.