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Tag: machine learning

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…

The Perfect Storm: How the Chip Shortage Will Impact AI Development

This chip shortage has brought to light our dependency on hardware to run high-tech economies and the everyday lives of consumers. Today, chips can be found in everything from gaming consoles like Xbox Series, PlayStatio Read more…

What’s Holding Us Back Now? ‘It’s the Data, Stupid’

The good news is the barrier to entry for data science has lowered dramatically in recent years, thanks to better data science software and cloud computing. The bad news is that getting ahead with big data requires--you 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…

Data Integrity a Major Concern, Precisely Says

Companies are facing considerable headwinds when it comes to their analytics and AI strategies, particularly when it comes to the data, according to Precisely’s new report, titled “Data Integrity Trends: Chief Data O 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…

Drones Put the AI into Aerial Intelligence

Advances in machine learning, data management, and cloud computing are having a significant impact on the market for drone-based mapping and intelligence gathering. Even as satellite-based imaging gains steam, drones app Read more…

Neo4j Sees Graph Data Science Taking Off Following $325 Million Round

Operational use cases such as fraud prediction and recommendation engines have dominated in Neo4j’s existence up to this point. But following today’s announcement of a $325-million funding round that values the graph Read more…

Companies Going ‘All In’ on AI, Appen Study Says

AI budgets are up significantly over the past year as companies compete to survive and grow market share during the global pandemic, according to Appen, which published its State of AI and Machine Learning report this we Read more…

Open Data Hub: A Meta Project for AI/ML Work

Open source software is a critical resource in data science today, but integrating the various open source products together can be a complex task. This is what drove Red Hat to develop Open Data Hub, which brings over t Read more…

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