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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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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. Altman and the founding team believed AGI could become “the most impactful technology in human history.

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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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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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Ganesh Shankar, CEO & Co-Founder of Responsive – Interview Series

Unite.AI

Founded in 2015 as RFPIO, Responsive was created to streamline RFP management through more efficient software solutions. My co-founders and I founded Responsive in 2015 after facing our own struggles with the RFP response process at the software company we were working for at the time.

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Tensorflow- An impressive deep learning library!

Analytics Vidhya

For a long time, the framework was developed in a closed mode called disbelief, but after a global refactoring on November 9, 2015, it was […]. The post Tensorflow- An impressive deep learning library! appeared first on Analytics Vidhya.

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Role of Fully Convolutional Networks in Semantic Segmentation

Analytics Vidhya

Fully Convolutional Networks (FCNs) were first introduced in a seminal publication by Trevor Darrell, Evan Shelhamer, and Jonathan Long in 2015. Introduction Semantic segmentation, categorizing images pixel-by-pixel into specified groups, is a crucial problem in computer vision.