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.
Some Things I Wish I Had Known Before Scaling Machine Learning Solutions: Part I
Recently, I’ve been touring different conferences presenting a talk about best practices for implementing large scale machine learning…
2019.06.18 / 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…
2019.06.16 / 3min read. Read More
Seven Key Dimensions to Help You Understand an AI Environment
Every artificial intelligence(AI) problem is a new universe of complexities and unique challenges. Very often, the most challenging…
2019.06.14 / 4min read. Read More
Reimagining Privacy in Blockchains: An MIT-Incubated Solution
Yesterday, blockchain privacy startup Enigma announced the availability of its second testnet. Incubated in the Massachusetts Institute of…
2019.06.12 / 5min read. Read More
The Theory of Marginal Improvements and Security Tokens
A few weeks ago, I spent some time with several extremely bright Wall Street executives discussing the universe of blockchain and security…
2019.06.11 / 5min read. Read More
How Google Uses Reinforcement Learning to Train AI Agents in the Most Popular Sport in the World
Football( soccer for Americans) is by far the most popular sport in the world. With over 4 billion fans worldwide, football has proven to…
2019.06.10 / 6min 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…
2019.06.09 / 3min read. Read More
The Security Token Anthology: May 2019 Edition
May is here and it’s time to publish the newest Security Token Anthology which includes my recent articles about crypto-securities. Last…
2019.06.07 / 7min read. Read More
PySyft and the Emergence of Private Deep Learning
Trust is a key factor in the implementation of deep learning applications. From training to optimization, the lifecycle of a deep learning…
2019.06.06 / 5min read. Read More
Beyond Snarks: Some Blockchain Privacy Protocols You Need to Know About
Last week, J.P Morgan made an important contribution towards the mainstream enterprise adoption of blockchain technologies with the…
2019.06.04 / 4min read. Read More
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Some Things I Wish I Had Known Before Scaling Machine Learning Solutions: Part I https://t.co/kPKfzVLBII #machinelearning #deeplearning #datascience #artificialintelligence #InvectorLabs
Seven Key Dimensions to Help You Understand an AI Environment https://t.co/iuBpaoFGXE #deeplearning #machinelearning #artificialintelligence #datascience #InvectorLabs
This MIT-Incubated Project is Reimagining Privacy in Blockchains https://t.co/Y8DlhDkuEb #Ethereum #Blockchain #Privacy #Enigma #InvectorLabs #Crypto #Privacy
The Theory of Marginal Improvements and Security Tokens https://t.co/bc32G2iiBa #SecurityTokens #TokenizeTheWorld #Securitize #Polymath #Harbor #InvectorLabs #OpenSource #Blockchain
How Google Uses Reinforcement Learning to Train AI Agents in the Most Popular Sport in the World https://t.co/qsoExyBabq #GoogleBrain #ArtificialIntelligence #DeepLearning #ReinforcementLearning #MachineLearning #DataScience #InvectorLAbs #Football
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