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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.

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NLG Evaluation 2025 vs 2015: much improved but needs to be better

Ehud Reiter

One question which made me think was how NLG evaluation 5-10 years ago compared to NLG evaluation now; lets choose 2015 (there actually was not much difference in NLG evaluation between 2015 and 2020). The most common metrics were BLEU and ROUGE. So still some issues and concerns, but much better than BLEU! So still pretty depressing.

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Dave Barnett, Cloudflare: Delivering speed and security in the AI era

AI News

The second area is securing the use of AI within the workplace, because, you know, AI has some incredibly positive impacts on people … but the problem is there are some data protection requirements around that,” explains Barnett. Finally, is the question of, ‘Could AI be used by the bad guys against the good guys?’

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Sam Altman, OpenAI: ‘Lucky and humbling’ to work towards superintelligence

AI News

A bold mission to achieve AGI and superintelligence OpenAI was founded in 2015 with a clear, albeit bold, mission: to develop AGI and ensure it benefits all of humanity. “At the time, very few people cared, and if they did, it was mostly because they thought we had no chance of success, Altman explains.

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OpenAI: Musk wanted us to merge with Tesla or take ‘full control’

AI News

A blog post from OpenAI, in response to a lawsuit filed by Musk against the company, revealed email communications from 2015 to 2018 when Musk was still involved with the company’s operations. ” Ilya Sutskever explains the meaning of “open” in “OpenAI” in email from January 2016. It was never about open sourcing.

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easy-explain: Explainable AI for YoloV8

Towards AI

(Left) Photo by Pawel Czerwinski on Unsplash U+007C (Right) Unsplash Image adjusted by the showcased algorithm Introduction It’s been a while since I created this package ‘easy-explain’ and published on Pypi. A few weeks ago, I needed an explainability algorithm for a YoloV8 model. The truth is, I couldn’t find anything.

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Tigran Sloyan, Co-Founder & CEO of CodeSignal – Interview Series

Unite.AI

After graduating from MIT, he co-founded CodeSignal in 2015 to help teams and individuals discover and develop the skills that will shape the future. What inspired you to start CodeSignal, and how has the company evolved since its inception in 2015? At CodeSignal, we've always believed in the power of skills.