Google's plans on making Swift the first mainstream language with first-class language-integrated differentiable programming capabilities. What's so cool about Swift?

Swift: Google's bet on differentiable programming

Inman Connect 2020 recap from the Machine Learning perspective: the actual real estate landscape, and future opportunities. Learn how iBuyers changed the real estate industry and how to use your available data.

Real estate and machine learning: takeaways from Inman Connect 2020

We reviewed the best in AI of 2019, and reflect on the most important AI trends for 2020. Covering AI Explainability, Predictive analytics, fraud detection, facial recognition, and many more, let’s play to predict the future of AI.

AI trends: what to expect in 2020

There are many examples on how AI is being used for social good. This article presents some cases and what techniques are being applied, including our own journey with AI for wildlife conservation.

AI applications for social good

There are so many amazing Python libraries out there that it's hard to keep track of all of them. That's why we share with you our hand-picked selection of some top libraries.

Top 10 Python libraries of 2019 you should know about

Top 10 Python libraries of 2019

What started with a crazy idea 10 years ago ended up in a successful machine learning consultancy with more than 50 contributors. Read here our story and how AI developed in the meantime.

10 Years Tryolabs 🎉

Khipu 2019 was the most important event in the history of artificial intelligence in Latin America. Researchers from around the world shared their experiences and learnings. Read here about our 8 main takeaways from the conference.

The 8 main takeaways from Khipu 2019

Jetson Nano, Google Coral or Raspberry Pi? In this report, we benchmarked five novel edge devices using popular machine learning frameworks. See here the performance outcomes!

Machine learning edge devices: benchmark report

We were thrilled when we heard that we'd been invited to the AI Hackathon hosted by Allianz Global Investors in Hong Kong. We had 48 hours to build a prototype that improves fund management and to win the competition against eight other startups.

Winning the #AllianzGIHack in Hong Kong

Conventional machine learning approaches for network security applications are showing major limitations when it comes to malware traffic detection and classification. In my latest research, I explored the use of deep learning models to complement traditional approaches. Here's a summary of the research and its results.

Deep in the dark: enhancing malware traffic detection with deep learning

Aiming to bridge the gap between theory and practice, we organized our first machine learning event in San Francisco, featuring real-world applications of computer vision techniques. Here's how it went!

Recap: our first machine learning meetup in San Francisco

I was invited to give a talk at the Embedded Vision Summit 2019, taking place from May 18-21 in Silicon Valley. Bringing together innovative companies, excellent speakers, and computer vision lovers from all around the world, I was thrilled to have the opportunity to share my experiences at the conference.

Our AI & Machine Learning knowledge base

A blog dedicated to state-of-the-art technology, experiences, and random thoughts.

Swift: Google's bet on differentiable programming

Real estate and machine learning: takeaways from Inman Connect 2020

AI trends: what to expect in 2020

AI applications for social good

Top 10 Python libraries of 2019

10 Years Tryolabs 🎉

The 8 main takeaways from Khipu 2019

Machine learning edge devices: benchmark report

Winning the #AllianzGIHack in Hong Kong

Deep in the dark: enhancing malware traffic detection with deep learning

Recap: our first machine learning meetup in San Francisco

Embedded Vision Summit 2019: My talk and takeaways

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