Intel Acquires SigOpt

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Organizations across a wide range of industries trust SigOpt to solve their toughest optimization challenges.

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Why Optimize?

Tune models to maximize performance.

Why SigOpt?

The best-in-class optimization solution.

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Product

The world’s most advanced model optimization solution combining research, enterprise capabilities, and reproducibility.

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Optimization Engine

Built with world-class research.

Enterprise Platform

Seamless to integrate and scales for any usage.

Docs

API Documentation

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Visual interface for ML reproducibility.

By Model Type

Effective for all model types.

 

Research

Our research team is constantly developing new optimization techniques for real-world problems.

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Papers

Our team’s peer-reviewed research.

Publications

Research from our academic users.

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Resources

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Articles

Industry trends and best practices.

Blog

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Presentations

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Videos

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Company

Our mission is to accelerate and amplify the impact of modelers everywhere.

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Team

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Articles

AI-100-2019-2

AI 100: The Artificial Intelligence Startups Redefining Industries

CB Insights
TS & SO Logos

Why Two Sigma is using SigOpt for Automated Parameter Tuning

Matt Adereth, Managing Director, and Two Sigma
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2020 Top 100 Most Exciting Startups in North America
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Intel Acquires Model Optimizer SigOpt
SigOpt Company News
Intel to acquire AI hyperparameter optimization startup SigOpt
SigOpt Company News
Intel will acquire model optimization startup SigOpt
SigOpt Company News
Intel Focuses on Boosting AI Business with acquisition of SigOpt
SigOpt Company News
Intel Acquires SigOpt, A Specialist in Modeling Optimization, to Boost its AI Business
SigOpt Company News
Intel acquires AI software optimization platform SigOpt
SigOpt Company News
Intel to Acquire SigOpt to Scale AI Productivity and Performance
Applied AI Insights, Augmented ML Workflow, Modeling Best Practices
The Latest In ML Ops – 5 Evolutions of Production ML
Deep Learning, Machine Learning
Machine Learning in the Enterprise: 5 Hard Truths
Application, Applied AI Insights, Focus Area, Natural Language, Training & Tuning
Distantly Supervised Question Parsing
Deep Learning, Machine Learning, Model Type
A Massive Opportunity Exists To Build “Picks And Shovels” For Machine Learning
Advanced Optimization Techniques, Focus Area, Methodology, Research
On variable and random shape Gaussian interpolations
All Model Types, Deep Learning, Machine Learning, Methodology, Model Type, Research
Efficient Rollout Strategies for Bayesian Optimization
Deep Learning, Focus Area, Model Type, Reinforcement Learning
Adversarial Training and Provable Defenses: Bridging the Gap
Activity Recognition, Applied, Applied AI Insights, Focus Area, Healthcare, Methodology, Research
Accelerating Psychometric Screening (Hearing) Tests With Bayesian Active Differential Selection
Advanced Optimization Techniques, Applied AI Insights, Deep Learning, Machine Learning, Preference Optimization
Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data
Activity Recognition, Applied AI Insights, Deep Learning, Focus Area, Research, Simulations & Backtests
Implementing AutoML in Educational Data Mining for Prediction Tasks
Advanced Optimization Techniques, Applied, Applied AI Insights, Augmented ML Workflow, Focus Area, Methodology
Podcast: Automated Model Tuning with SigOpt
Company news
NVIDIA Showcases Diversity of Talent at NeurIPS
All Model Types, SigOpt 101
Automating model tuning and hyperparameter optimization with SigOpt
Advanced Optimization Techniques, Applied AI Insights, Deep Learning
Black-Box Image Augmentation for Better Classification
Applied, Materials Science, Research
New superomniphobic glass soars high on butterfly wings using machine learning
Applied, Materials Science, Research
Creating glasswing butterfly-inspired durable antifogging superomniphobic supertransmissive, superclear nanostructured glass through Bayesian learning and optimization
Applied, Materials Science, Research
A Self-Healing Glass, Inspired by a Butterfly Wing
Applied, Materials Science, Research
Nanostructured Glass Is Based on Butterfly Wing
Advanced Optimization Techniques, Applied
Butterfly Wings Inspire New Glass Structure
Applied, Materials Science
New superomniphobic glass soars high on butterfly wings using machine learning
All Model Types, Modeling Best Practices
Number of AI Projects Set to Explode, But Challenges Persist
Augmented ML Workflow, Machine Learning
How to explain machine learning in plain English
All Model Types, Applied AI Insights
AI’s carbon footprint will be an issue for enterprises
Advanced Optimization Techniques, Deep Learning
Insights for Building High-Performing Image Classification Models
All Model Types, Modeling Best Practices
AI in the enterprise: 8 myths, debunked
All Model Types, Modeling Best Practices
Why Two Sigma is using SigOpt for Automated Parameter Tuning
Model Type, SigOpt 101
The insideBIGDATA IMPACT 50 List for Q2 2019
Advanced Optimization Techniques, Deep Learning
Field Report: GPU Technology Conference 2019 #GTC19
Advanced Optimization Techniques, All Model Types
Should you build or buy your data science platform?
Deep Learning, Modeling Best Practices
Deep Learning: When Should You Use It?
All Model Types, SigOpt 101
SigOpt Partners with Two Sigma
All Model Types, Modeling Best Practices
AI vs. machine learning: What’s the difference?
All Model Types, Applied AI Insights
How to select an AI pilot project: 5 criteria
Deep Learning, Modeling Best Practices
Optimizing End-to-End Memory Networks Using SigOpt and GPUs
How to identify an AI opportunity: 5 questions to ask
All Model Types, SigOpt 101
AI 100: The Artificial Intelligence Startups Redefining Industries
All Model Types, SigOpt 101
CB Insights: Here are the top 100 AI companies in the world
All Model Types, Applied AI Insights
Enterprises are White Knights in Battle to Avoid AI Winter
All Model Types, SigOpt 101
Interview with Nick Payton, B2B Marketing Leader at SigOpt
All Model Types, SigOpt 101
“Above the Trend Line” – Your Industry Rumor Central for 1/14/2019
Machine Learning, Modeling Best Practices
Three Machine Learning Tasks Every AI Team Should Automate
Augmented ML Workflow, Machine Learning
Get Ahead of Automated Machine Learning (AUTOML) to Accelerate your AI Roadmap
Advanced Optimization Techniques, All Model Types
Let’s talk Bayesian optimization
All Model Types, Applied AI Insights
Four ways artificial intelligence can impact the workplace and society
All Model Types, Applied AI Insights
How machine learning will affect IT operations and careers
All Model Types, SigOpt 101
CNBC unveils its annual list of 100 promising start-ups to watch
All Model Types, Training & Tuning
Optimization: The Secret Weapon of AI Modeling at Scale
All Model Types, Training & Tuning
Five Attributes of Artificial Intelligence Leaders
All Model Types, Training & Tuning
SigOpt Automated Model Tuning: Product Overview and Analysis
All Model Types, Applied AI Insights
21 Books Highly Recommended by Successful Executives
All Model Types, Applied AI Insights
The insideBIGDATA IMPACT 50 List for Q3 2018
All Model Types, Modeling Best Practices
On the Radar: SigOpt for machine learning algorithm optimization
All Model Types, Applied AI Insights
Odds & Ends: Amazon’s AI Scare, Encrypted Phones, A ‘Lost’-Inspired Startup
All Model Types, Modeling Best Practices
Roadblocks to Automated Testing
Augmented ML Workflow, Machine Learning
Integrating with Amazon SageMaker: Using Built-In Algorithms from External Applications
Machine Learning, Modeling Best Practices
Why Getting the Metrics Right Is So Important in Machine Learning
All Model Types, SigOpt 101
SigOpt Within In-Q-Tel’s Parameters
Simulations & Backtests, Training & Tuning
SigOpt Within In-Q-Tel’s Parameters
Deep Learning, Modeling Best Practices
5 Essential Pieces of the Deep Learning Puzzle
All Model Types, SigOpt 101
In-Q-Tel invests in SigOpt to help U.S. intelligence agencies optimize AI
Augmented ML Workflow, Machine Learning
New AWS Solution Space Launches with 10 Customer-Ready Solutions
Applied AI Insights, Machine Learning
The Machine Learning Opportunity in Manufacturing, Logistics
Machine Learning, Training & Tuning
Machine Learning for the Masses
All Model Types, Applied AI Insights
5 Questions with SigOpt’s Scott Clark
All Model Types, Augmented ML Workflow
AWS Launches New Cybersecurity Services
All Model Types, Augmented ML Workflow
AWS PrivateLink Now Supports Non-Amazon Services
Deep Learning, Training & Tuning
What’s Keeping Deep Learning In Academia From Reaching Its Full Potential?
All Model Types, Training & Tuning
How Building the Perfect AI Pipeline Is Like Brewing the Perfect Shot of Espresso
All Model Types, Augmented ML Workflow
SigOpt is Now Available on AWS Marketplace
Machine Learning, Training & Tuning
How SigOpt Wants to Optimize Your Machine Learning Algorithms
Machine Learning, Training & Tuning
Tuning Machine Learning Models
Advanced Optimization Techniques, Machine Learning
If Machine Learning is the question, open source is the answer. Right?
Advanced Optimization Techniques, Deep Learning
Deep Learning Hyperparameter Optimization with Competing Objectives
Advanced Optimization Techniques, Deep Learning
Getting Hyped for Deep Learning Configs
Advanced Optimization Techniques, Deep Learning
Fast CNN Tuning with AWS GPU Instances and SigOpt
Advanced Optimization Techniques, Deep Learning
The Next Battleground for Deep Learning Performance
All Model Types, SigOpt 101
This ex-Yelp engineer just raised $6 million to help make tastier beer
All Model Types, SigOpt 101
Optimization startup SigOpt raises $6.6M
All Model Types, SigOpt 101
SigOpt
All Model Types, SigOpt 101
SigOpt Raises $6.6 Million in Series A Funding
All Model Types, SigOpt 101
Andreessen Horowitz backs $6.6 million round for optimization startup SigOpt
Applied AI Insights, Deep Learning
Much Deeper, Much Faster: Deep Neural Network Optimization with SigOpt and Nervana Cloud
All Model Types, SigOpt 101
SigOpt Raises $2 Million to ‘Optimize Anything’ From Jet Engines to Snacks
All Model Types, SigOpt 101
YC-Backed SigOpt Helps Customers Optimize Everything From Online Ads To Shaving Cream