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Tag: deep learning

Three Ways AI Is Helping Manufacturers

Thanks to the global supply chain and growth of middle-class culture, manufacturers are under tremendous pressure to make high quality goods that customer desire at a price they can afford. One technology that’s increa Read more…

New Unicorn Fractal Bolsters Cloud Play with Neal Buy

Artificial intelligence firm Fractal Analytics is having a busy January so far. Early in the month it announced a $360 million investment from enterprise technology asset firm TPG, and on Tuesday the company reported acq Read more…

10 NLP Predictions for 2022

Natural language processing (NLP) has been one of the hottest sectors in AI over the past two years. Will the string of big data breakthroughs continue into 2022? We checked in with industry experts to find out. There Read more…

DeepliteRT Enables Fast and Efficient AI Modeling on Edge Devices

Enterprises today have increasingly complex and expansive datasets that require substantial computing resources to manage. Machine learning with artificial intelligence models has been an indispensable tool for reducing Read more…

Nothing Runs Like a GPU-Powered, Fully Autonomous Deere

We’re still a few years from having self-driving cars take to the roadways en masse. But later this year, farmers will be able to start running fully autonomous John Deere tractors in their fields, enabling them to mon Read more…

Understanding AI’s Limitations Is Key to Unlocking Its Potential

Artificial intelligence (AI) is revolutionizing many processes across industries and applications—digital customer service assistants, autonomous vehicles, robots in retail warehouses. AI can even write a news article Read more…

Data Science and AI Predictions for 2022

The pace of technological change increased in 2021, and if history is any guide, will continue to accelerate in 2022. At the leading edge of high tech are data science and artificial intelligence, two disciplines that pr Read more…

Is Quantum Computing the Future of AI?

Quantum computing has grabbed the imagination of computer scientists as one possible future of the discipline after we’ve reached the limits of digital binary computers. Thanks to its capability to hold many different Read more…

Cerebras Hits the Accelerator for Deep Learning Workloads

When it comes to large neural networks like BERT or GPT-3, organizations often must wait weeks or even months for a training task to complete if they’re using traditional CPU and GPU clusters. But with its massive Wafe Read more…

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…

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