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invectorlabs

@invectorlabs

On-demand software development in high tech areas such as artificial intelligence, blockchain,We connect enterprises with top computer scientists and engineers

 United States
invectorlabs.com
Joined July 2018
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Understanding Attention in Recurrent Neural Networks link.medium.com/jBUmaE2XP8 #machinelearning #deeplearning #datascience #artificialintelligence #GoogleBrain #GoogleAI #TheSequence #InvectorLabs
Understanding Attention in Recurrent Neural Networks

Understanding Attention in Recurrent Neural Networks

Attention has become one of the hottest topics in deep learning. Let’s review its importance in recurrent neural networks.

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A Gentle Introduction to Probabilistic Programming Languages link.medium.com/5bc1PQt2K8 #machinelearning #deeplearning #artificialintelligence #datascience #thesequence #UberAI #Pyro #edwards
A Gentle Introduction to Probabilistic Programming Languages

A Gentle Introduction to Probabilistic Programming Languages

Probabilistic programming is becoming one of the most active areas of development in the machine learning space. What are the top…

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Facebook Uses Bayesian Optimization to Conduct Better Experiments in Machine Learning Models link.medium.com/HK3FyeEkJ8 #machinelearning #deeplearning #datascience #artificialintelligence #InvectorLabs #FAIR #TheSequence
Facebook Uses Bayesian Optimization to Conduct Better Experiments in Machine Learning Models

Facebook Uses Bayesian Optimization to Conduct Better Experiments in Machine Learning Models

A research from Facebook proposes a Beyasian optimization method to run A/B tests in machine learning models. +

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Facebook Likes Omni-Supervised Learning to Train Models with Limited Labeled Datasets link.medium.com/RLOkEXZKn8 #machinelearning #deeplearning #artificialintelligence #datascience #TheSequence #InvectorLabs
Facebook Likes Omni-Supervised Learning to Train Models with Limited Labeled Datasets

Facebook Likes Omni-Supervised Learning to Train Models with Limited Labeled Datasets

The new method addresses some of the limitations of semi-supervised learning.

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Salesforce Open Sourced This Framework for Question-Answering Based on Wikipedia Articles link.medium.com/CrURmtw5g8 #machinelearning #deeplearning #datascience #InvectorLabs #TheSequence #SalesforceAI #ArtificialIntelligence
Salesforce Open Sourced This Framework for Question-Answering Based on Wikipedia Articles

Salesforce Open Sourced This Framework for Question-Answering Based on Wikipedia Articles

The framework uses a multi-hop QA method to answer complex questions by reasoning through Wikipedia’s datasets .

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Five Key Things Machine Learning Technologies Need to Reach Mainstream Developers link.medium.com/dfeAEBE7b8 #machinelearning #deeplearning #datascience #artificialintelligence #InvectorLabs #TheSequence
Five Key Things Machine Learning Technologies Need to Reach Mainstream Developers

Five Key Things Machine Learning Technologies Need to Reach Mainstream Developers

Google Research conducted a detailed survey among TensorFlow developers to determine the key elements that streamline adoption of machine…

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Machine Learning Reference Architectures from Google, Facebook, Uber, DataBricks and Others link.medium.com/wVkXd2Jra8 #MachineLearning #DeepLearning #DataScience #InvectorLabs #GoogleAI #UberAI #FAIR #DataBricks #ArtificialIntelligence

Machine Learning Reference Architectures from Google, Facebook, Uber, DataBricks and Others

I recently started a new newsletter focus on AI education. TheSequence is a no-BS( meaning no hype, no news etc) AI-focused newsletter…

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Understanding How Neural Networks Think link.medium.com/S5DkvDM967 #machinelearning #deeplearning #datascience #artificialintelligence #GoogleAI #InvectorLabs #TheSequence
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The Frameworks that Google, DeepMind, Microsoft and Uber Use to Train Deep Learning Models at Scale link.medium.com/grJrywVu57 #machinelearning #DeepLEarning #DataScience #ArtificialIntelligence #InvectorLabs
The Frameworks that Google, DeepMind, Microsoft and Uber Use to Train Deep Learning Models at Scale

The Frameworks that Google, DeepMind, Microsoft and Uber Use to Train Deep Learning Models at Scale

GPipe, Horovod, TF-Replicator and DeepSpeed combine cutting edge aspects of deep learning research and infrastructure to scale the…

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Five Machine Learning Paradoxes that will Change the Way You Think About Data link.medium.com/07X1LYYy07 #MachineLearning #deeplearning #datascience #ArtificialIntelligence #InvectorLabs

Five Machine Learning Paradoxes that will Change the Way You Think About Data

Paradoxes are one of the marvels of human cognition that are hard to using math and statistics. Conceptually, a paradox is a statement…

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The Open Source Technologies Behind One of the Biggest Language Models in History link.medium.com/qq2QDpsxV7 #machinelearning #Deeplearning #DataScience #ArtificialIntelligence #InvectorLabs
The Open Source Technologies Behind One of the Biggest Language Models in History

The Open Source Technologies Behind One of the Biggest Language Models in History

ZeRO and DeepSpeed are powering Microsoft’s Turing-NLG which is considered one of the largest natural language models in the history of AI.

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Some Things Uber Learned from Running Machine Learning at Scale link.medium.com/tvJ0UbPQT7 #machinelearning #deeplearning #datascience #artificialintelligence #InvectorLabs #UberAI

Some Things Uber Learned from Running Machine Learning at Scale

Uber machine learning runtime Michelangelo has been in operation for a few years. What has the Uber team learned?

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What Borges Can Tech Us About Overfitting and Underfitting in Deep learning Models link.medium.com/87NgkSiXO7 #machinelearning #deeplearning #datascience #ArtificialIntelligence #InvectorLabs
What Borges Can Tech Us About Overfitting and Underfitting in Deep learning Models

What Borges Can Tech Us About Overfitting and Underfitting in Deep learning Models

Selective forgetting and memory prioritization are key elements of learning.

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Uber Creates Deep Neural Networks to Generate Training Data for Other Deep Neural Networks link.medium.com/m0AJPaRDL7 #machinelearning #deeplearning #datascience #artificialintelligence #UberAI #InvectorLabs

Uber Creates Deep Neural Networks to Generate Training Data for Other Deep Neural Networks

Machine Teaching is gaining traction within the transportation giant.

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Gödel, Consciousness and the Weak vs. Strong AI Debate link.medium.com/6885mI6VJ7 #machinelearning #deeplearning #artificialintelligence #datascience #InvectorLabs
Gödel, Consciousness and the Weak vs. Strong AI Debate

Gödel, Consciousness and the Weak vs. Strong AI Debate

Some of the biggest debates in AI can find its roots in some mathematical and evolutionary theories.

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PySyft is a Framework for Bringing Privacy to Deep Learning Models. link.medium.com/NavVeblgI7 #DeepLearnign #MachineLearning #ArtificialIntelligence #DataScience #OpenMined #PySyft #InvectorLabs

PySyft is a Framework for Bringing Privacy to Deep Learning Models.

The framework uses differential privacy in models built on PyTorch and TensorFlow.

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How Modern Game Theory is Influencing Multi-Agent Reinforcement Learning Systems Part II link.medium.com/aIIc2TegD7 #machinelearning #deeplearning #artificialintelligence #reinforcementlearning #datascience #gametheory #InvectorLabs

How Modern Game Theory is Influencing Multi-Agent Reinforcement Learning Systems Part II

Mean-Field Games, Evolutionary Games and Stochastic Games are having an impact in the new generation of reinforcement learning systems.

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MLDB is the Database Every Data Scientist Dreams Of link.medium.com/h4FPTZ4yB7 #Machinelearning #DeepLearning #ArtificialIntelligence #DataScience #InvectorLAbs #ElementAI #MLDB
MLDB is the Database Every Data Scientist Dreams Of

MLDB is the Database Every Data Scientist Dreams Of

A database designed and optimized for machine learning programs.

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Learning by Forgetting: Deep Neural Networks and the Jennifer Aniston Neuron link.medium.com/Q0UFrqmXz7 #DeepLearning #MachineLearning #DataScience #ArtificialIntelligence #DeepMind #InvectorLabs
Learning by Forgetting: Deep Neural Networks and the Jennifer Aniston Neuron

Learning by Forgetting: Deep Neural Networks and the Jennifer Aniston Neuron

DeepMind’s research shows how to understand the role of individual neurons in a neural network.

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Using Neural Networks to Understand Your Source Code link.medium.com/FtsFRrFCw7 #MachineLearning #DeepLearning #DataScience #ArtificialIntelligence #InvectorLabs
Using Neural Networks to Understand Your Source Code

Using Neural Networks to Understand Your Source Code

Microsoft Research unveiled a technique that uses graph neural networks to detect insights in source code files.

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