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Deep Residual Learning for Image Recognition (ResNet Explained)

Analytics Vidhya

One of the key breakthroughs in deep learning is the ResNet architecture, introduced in 2015 by Microsoft Research. Introduction Deep learning has revolutionized computer vision and paved the way for numerous breakthroughs in the last few years.

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Heico Sandee, Founder and CEO of Smart Robotics – Interview Series

Unite.AI

What inspired you to co-found Smart Robotics back in 2015? Together with Mark Menting, I founded Smart Robotics in May 2015. In 2015, Smart Robotics started in a small office at the High Tech Campus Eindhoven. What challenges in the robotics industry were you aiming to solve?

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LLM-Powered Metadata Extraction Algorithm

Towards AI

The evolution of Large Language Models (LLMs) allowed for the next level of understanding and information extraction that classical NLP algorithms struggle with. Advances in Neural Information Processing Systems 28 (NIPS 2015). But often, these methods fail on more complex tasks.

Metadata 119
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Daniel Cane, Co-CEO and Co-Founder of ModMed – Interview Series

Unite.AI

Starting in 2015, the company has been named annually to the exclusive Inc. Additionally, bias is a significant risk associated with AI algorithms, and quality data can play a key role in mitigating healthcare disparities. In 2020, the company was named one of the Best Workplaces in the Country by Inc.

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AI is helping brands avoid controversial influencer partnerships  

AI News

The posts, which were uploaded on X between 2012 and 2015 when Schofield was a teenager, contained a string of racist profanities and insulting jokes about Black people’s hairstyles. In one post, she vigorously defended George Zimmerman, a white American who was controversially acquitted of the murder of the Black teenager Trayvon Martin.

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An Overview of Advancements in Deep Reinforcement Learning (Deep RL)

Marktechpost

This article introduces deep reinforcement learning models, algorithms, and techniques. It will cover a brief history of deep RL, a basic theoretical explanation of deep RL networks, state-of-the-art deep RL algorithms, major application areas, and the future research scope in the field.

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Mohan Giridharadas, Founder & CEO at LeanTaaS – Interview Series

Unite.AI

We created an algorithm designed to optimally match available supply with ongoing demand signals. Our solution worked, and we spent the next 18 months refining our algorithms and creating our first product, iQueue for Infusion Centers. In 2015, we pivoted to focus entirely on healthcare.