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Tag: deep learning

We’re In the Moneyball 3.0 Era. Here’s What It Means for Live Sports

When Oakland A’s General Manager Billy Beane adopted Sabermetrics with his 2002 and 2003 teams, he popularized what became known as the Moneyball 1.0 era. Eighteen years later, we’re firmly on the cusp of Moneyball 3 Read more…

Fake Data Comes to the Forefront

The lack of data historically has been a limiting factor in the development of predictive models. But with the advent of automated methods to generate skads of synthetic data, or what some call “fake data,” the lack Read more…

Deep Learning Targets Drug Combos for COVID-19

Using computational biology to identify individual therapeutics that might prove effective in the fight against COVID-19 is already a daunting task, with billions of candidate molecules. Throw drug combinations into the Read more…

An All-Volunteer Deep Learning Army

A team of researchers says their novel framework, called Distributed Deep Learning in Open Collaborations, or DeDLOC, brings the potential to train large deep learning models from scratch in a distributed, grid-like mann Read more…

Inside eBay’s Optimization Techniques for Scaling AI

Getting the software right is important when developing machine learning models, such as recommendation or classification systems. But at eBay, optimizing the software to run on a particular piece of hardware using disti Read more…

Unlocking the True Potential of ML: How Self-Supervised Learning in Language Can Beat Human Performance

A core goal for many organizations using artificial intelligence (AI) systems is to have them mirror human language and intelligence. However, mimicking human language and mastering its unique complexities continues to b Read more…

Shrinking the Education Gap in Data Science

There’s a growing mismatch between the growth of data and the growth of data skills and knowledge. The former is increasing at a healthy rate, while the latter is struggling to keep up. One outfit that’s hoping to c Read more…

Rethinking Education in an AI-First World

Universities have been ramping up their data science education initiatives ever since 2012, when Tom Davenport and DJ Patil declared data scientist “the sexiest job of the 21st century” in the Harvard Business Review Read more…

How Coke Bottlers Save Millions with AI

Retailers around the country rely on a network of nearly 70 independent Coca-Cola bottlers to manufacture and ship cases of liquid refreshments. It’s a finely tuned supply chain, and it ultimately serves customers well Read more…

Nvidia Inference Engine Keeps BERT Latency Within a Millisecond

It’s a shame when your data scientists dial in the accuracy on a deep learning model to a very high degree, only to be forced to gut the model for inference because of resource constraints. But that will seldom be the Read more…

Deci Shows a NAC for Automated Neural Net Construction

Deep learning researchers have been dancing around a looming performance wall in recent months, as huge neural networks push the limits in terms of computation and power consumption. But now a company called Deci says it Read more…

Machine Learning, from Single Core to Whole Cluster

The demand for production-quality software for mining insights from datasets across scales has exploded in the last several years. The growing size of datasets throughout industry, government, and other fields has increa Read more…

Deep Learning Is Our Best Hope for Cybersecurity, Deep Instinct Says

Thanks to the exponential growth of malware, traditional heuristics-based detection regimes have been overwhelmed, leaving computers at risk. Machine learning approaches can help, but the bottleneck presented by the feat Read more…

From Amazon to Uber, Companies Are Adopting Ray

What if you could use your favorite machine learning library to code an AI program on your laptop, and have it automatically transferred to run in a massive, distributed fashion on the cloud? That’s the general idea be Read more…

How AI Plus HPC Equals the Future of Advanced Analytics

Combining artificial intelligence (AI) and high-performance computing (HPC) can unlock the potential of each of these powerful analytics disciplines. This in turn can drive increased business agility, innovation, and Read more…

A Nutrition Label for AI

It can be difficult to understand exactly what’s going on inside of a deep learning model, which is a real problem for companies concerned about bias, ethics, and explainability. Now IBM is developing something called Read more…

LLNL Uses ‘Self-Trained’ Deep Learning for Better Diagnosis

Improving disease diagnosis is one of the most popular applications for deep learning researchers – and now, they’re looking to streamline the process: new research from Lawrence Livermore National Laboratory (LLNL) Read more…

Five Real-World Applications for Sports Analytics

When Moneyball first published nearly two decades ago, it was a chronicle of an industry slow to adopt advanced statistical methods for evaluating player worth. Since then however, and due in no small part to the book it Read more…

DeepCube Unveils Deep Learning Suite

DeepCube is launching a new suite of products and services, including a software-based deep learning accelerator which runs on a range of current and next-generation hardware. The suite targets neural network training Read more…

One Model to Rule Them All: Transformer Networks Usher in AI 2.0, Forrester Says

The recent advent of massive transformer networks is ushering in a new age of AI that will give customers advanced natural language capabilities with just a fraction of the skills and data previously required, according Read more…

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