Research & Insights
We are a passionate community of computer scientists and engineers. We actively collaborate with academic institutions to bring the latest research to our work with customers. We regularly present at conferences and publish articles about the latest technology trends.
With MorphNet, Google Helps You Build Faster and Smaller Neural Networks
Designing deep neural networks these days is more art than science. In the deep learning space, any given problem can be addressed with a…
2019.04.22 / 5min read. Read More
Last Week in AI
Every week, my team at Invector Labs publishes a newsletter to track the most recent developments in AI research and technology. You can…
2019.04.21 / 3min read. Read More
Some Thoughts About Security Token Networks Part II
This is the second part of an article that explore ideas about the emerging field of security token networks. The first part discussed…
2019.04.19 / 5min read. Read More
Facebook Uses Machine Learning to Help Developers Write Code Faster
Code reusability is one of the biggest challenges of large development teams. Programmers regularly work on tasks that are similar to…
2019.04.18 / 6min read. Read More
Some Thoughts About Security Token Networks: Part I
Recently, I wrote about the emergence of security tokens in permissioned blockchains as a “local maximum” phenomenon or an approach with…
2019.04.17 / 5min read. Read More
Smart Incentives and Game Theory in Decentralized, Multi-Agent Reinforcement Learning Systems
Throughout history, humans have built many systems that require both autonomous actions and coordinated interactions between its…
2019.04.15 / 7min read. Read More
Last Week in AI
Every week, my team at Invector Labs publishes a newsletter to track the most recent developments in AI research and technology. You can…
2019.04.14 / 3min read. Read More
The Security Token Anthology: March 2019 Edition
April is here and is time to release another edition of the Security Token Anthology which compiles some of my recent articles about…
2019.04.12 / 7min read. Read More
Introducing LinkedIn’s Avro2TF
A New Feature Transformation Framework for TensorFlow
2019.04.11 / 5min read. Read More
A Local Maximum Paradox: Permissioned Blockchains and Security Tokens
Security tokens have evolved exclusively as public blockchain scenarios but that trend seems to be rapidly shifting. In the last few…
2019.04.10 / 6min read. Read More
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With MorphNet, Google Helps You Build Faster and Smaller Neural Networks https://t.co/F23DMGDGqv #machinelearning #GoogleAI #deeplearning #artificialintelligence #datascience #InvectorLabs
Some Thoughts About Security Token Networks Part II https://t.co/Ka5tDiL7RX #SecurityToken #TokenizeTheWorld #Securitize #PolyMath #Harbor #Ownera #Fluidity #InvectorLabs
Two New Frameworks that @Google and @DeepMind are Using to Scale #DeepLearning Workflows https://t.co/u33jwqYeHi by @jrdothoughts from @invectorlabs
Facebook Uses Machine Learning to Help Developers Write Code Faster https://t.co/MunRnDnq3X #machinelearning #deeplearning #datascience #artificialintelligence #FAIR #Facebook #Aroma #InvectorLabs
Some Thoughts About Security Token Networks: Part I https://t.co/wsFkG8Ysp9 #SecurityTokens #TokenizeTheWorld #Securitize #Polymath #Harbor #Ownera #Provenance #InvectorLabs
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