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Intel to Acquire SigOpt to Scale AI Productivity and Performance

Intel Acquires SigOpt
AI-100-2019-2

AI 100: The Artificial Intelligence Startups Redefining Industries

News Articles

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