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Building Secure ML Starts with Understanding the Landscape: Oracle’s Perspective

Building Secure ML Starts with Understanding the Landscape: Oracle’s Perspective

With so many businesses implementing machine learning (ML) into their tech stack, it’s no wonder we’re seeing increases in the volume and variety of cybersecurity threats. If...

GitHub - IBM/inFairness: PyTorch package to train and audit ML models for Individual Fairness

GitHub - IBM/inFairness: PyTorch package to train and audit ML models for Individual Fairness

PyTorch package to train and audit ML models for Individual Fairness Insights IBM/inFairness This commit does not belong to any branch on this repository, and may belong to a...

Deep Learning Alone Isn’t Getting Us To Human-Like AI | NOEMA

Deep Learning Alone Isn’t Getting Us To Human-Like AI | NOEMA

Go Deep Learning Alone Isn’t Getting Us To Human-Like AI Artificial intelligence has mostly been focusing on a technique called deep learning. It might be time to...

The future is fake: The rise of synthetic data in training AI models

The future is fake: The rise of synthetic data in training AI models

Synthetic data provides a way to have unlimited amounts of perfectly labeled data at a fraction of the cost of manually labeled data. Collecting high-quality data from the real...

10 Most Important Leadership Skills For The 21st Century Workplace (And How To Develop Them)

10 Most Important Leadership Skills For The 21st Century Workplace (And How To Develop Them)

With the rise of the gig economy and with many companies adopting flatter, more flexible organizational structures, now is the perfect time to refocus on what good leadership...

Essential Guide to Machine Learning Model Monitoring in Production

Essential Guide to Machine Learning Model Monitoring in Production

Model Monitoring is an important component of the end-to-end data science model development pipeline. The robustness of the model not only... Model Monitoring is an important...

How ML Model Explainability Accelerates the AI Adoption Journey for Financial Services - KDnuggets

How ML Model Explainability Accelerates the AI Adoption Journey for Financial Services - KDnuggets

Explainability and good model governance reduce risk and create the framework for ethical and transparent AI in financial services that eliminates bias. Financial services...

How Can Data Scientists Use Parallel Processing? - MLWhiz

How Can Data Scientists Use Parallel Processing? - MLWhiz

How Can Data Scientists Use Parallel Processing? By Rahul Agarwal 24 July 2021 Finally, my program is running! Should I go and get a coffee? We data scientists have got powerful...

Introducing the Google Universal Image Embedding Challenge

Introducing the Google Universal Image Embedding Challenge

Computer vision models see daily application for a wide variety of tasks, ranging from object recognition to image-based 3D object reconstruction. One challenging type of...

Has Deep Learning Made Traditional Machine Learning Obsolete?

Has Deep Learning Made Traditional Machine Learning Obsolete?

The artificial intelligence (AI) field has made its mark on virtually every industry, from manufacturing and logistics to robotics and health care. AI is becoming increasingly...

Machine Learning and the Physical Sciences, NeurIPS 2022

Machine Learning and the Physical Sciences, NeurIPS 2022

Machine Learning and the Physical Sciences Workshop at the 36th conference on Neural Information Processing Systems (NeurIPS) December 3, 2022 Submission Deadline: September 22...

Machine Learning and the Physical Sciences, NeurIPS 2022

Machine Learning and the Physical Sciences, NeurIPS 2022

Machine Learning and the Physical Sciences Workshop at the 36th conference on Neural Information Processing Systems (NeurIPS) December 3, 2022 2022 2021 2020 2019 2017 About The...

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