DIRAC LEO PARKER

US48 patents

Patents

DIRAC LEO PARKER

Patents

Consistent sort-based record-level shuffling of machine learning data

Machine learning based content delivery

Machine learning based content delivery

Machine learning based content delivery

Machine learning service

Encodings for reversible sparse dimensionality reduction

Recommendation system using improved neural network

Determination of authentication mechanism

System for routing machine learning model inferences

Efficient duplicate detection for machine learning data sets

Using a client to manage remote machine learning jobs

Tuning software execution environments using Bayesian models

Feature processing recipes for machine learning

Object relation builder

Concurrent binning of machine learning data

Interactive interfaces for machine learning model evaluations

Consistent randomized record-level splitting of machine learning data

Feature processing tradeoff management

Determining item feature information from user content

Simulation orchestration for training reinforcement learning models

Attached accelerator scaling

Dynamically scaled training fleets for machine learning

Building sequence to sequence (S2S) models using previously generated S2S models with similar use cases

Consistent filtering of machine learning data

Input processing for machine learning

Generating artificial intelligence image processing services

Optimized decision tree based models

Efficient duplicate detection for machine learning data sets

Dynamic environment configurations for machine learning services

Fault-tolerant accelerator based inference service

Using a client to manage remote machine learning jobs

Decoupled machine learning training

Attached accelerator based inference service

Integrated machine learning training

Machine learning service

Automated machine learning pipeline exploration and deployment

Dynamically scaled training fleets for machine learning

Machine learning service

Consistent filtering of machine learning data

Machine learning based content delivery

Feature processing tradeoff management

Automated machine learning pipeline exploration and deployment

Dynamic tuning of training parameters for machine learning algorithms

Accent translation

Simulation modeling exchange

Attached accelerator selection and placement

Virtual/augmented reality data evaluation

Reinforcement learning model training through simulation