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Tag: neural network

Google Officially Releases Bard, Its ChatGPT Competitor

Google today announced that it’s officially releasing Bard, the new generative language model that it unveiled several weeks ago. While it’s still a research product, Google is eager to get Bard into the hands of tes Read more…

Data Is Everywhere, But Harvest Your Own for Peak AI Performance

The rapid proliferation of data marketplaces has made it easy for organizations to get their hands on third-party data. And pre-trained deep learning models are also readily available on the Internet. But just as plastic Read more…

Are Neural Nets the Next Big Thing in Search?

Many, if not most, search engines in use today are based on keywords, in which the search engine attempts to find the best match for a word or set of words used as input. It’s a tried-and-true method that has been depl 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…

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…

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…

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…

Researchers Evaluate Neural Language Models, Find XLNet Excellent

Lexical substitution is essentially the process that a thesaurus helps humans to perform: replacing words in a sentence without changing the meaning. Now, researchers from the Skolkovo Institute of Science and Technology 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…

AI Opens Door to Expanded Use of LIDAR Data

When it comes to big data, LIDAR is right up there with the biggest generators. But outside of a few niche use cases, LIDAR--which uses lasers to build a three-dimensional model of physical objects--has not been widely a Read more…

Low-Code Can Lower the Barrier to Entry for AI

Organizations that want to get started quickly with machine learning may be interested in investigating emerging low-code options for AI. While low-code techniques will never completely replace hand-coded systems, they c Read more…

Deep Learning Has Hit a Wall, Intel’s Rao Says

The rapid growth in the size of neural networks is outpacing the ability of hardware to keep up, said Naveen Rao, vice president and general manager of Intel's AI Products Group, at the company’s AI Summit yesterday. S Read more…

Intel Debuts New VPU Chip at AI Summit

Intel today unveiled a new vision processing unit (VPU) designed to power neural networks on edge devices like cameras and drones. The company also used its AI Summit event in San Francisco to demonstrate two recently re Read more…

Why Every Python Developer Will Love Ray

There are many reasons why Python has emerged as the number one language for data science. It's easy to get started and relatively forgiving for beginners, yet it's also powerful and extensible enough for experts to take Read more…

Facial Recognition in the Ethical Crosshairs

Facial recognition has become one of the most visible forms of AI, thanks to recent advances in deep learning and neural networks that have increased the accuracy to unprecedented levels. However, despite the progress, f Read more…

How Advanced Analytics Is Helping to Flush Out Insurance Fraud

Advanced analytics and machine learning modeling require lots of data to be trained, and in the insurance business, there's no better place to get data than Verisk Analytics. Here's how the Jersey City, New Jersey-based Read more…

PayPal Feeds the DL Beast with Huge Vault of Fraud Data

PayPal is no stranger to fraud. As one of the Internet's first online payment services, PayPal has been exposed to every type of wire fraud imaginable (and some beyond imagination). Sometimes the fraudsters had the upper Read more…

Product Naming with Deep Learning

We do not usually associate artificial intelligence (AI) with creativity. Generally, AI algorithms are used to automatize repetitive tasks or predict new outcomes based on previously seen examples. The creative process c Read more…

AI to Displace 40% of World’s Jobs, Predicts ‘Oracle of AI’

Artificial intelligence will displace 40% of jobs, predicted Chinese AI expert Kai-Fu Lee, who was dubbed the "Oracle of AI" by "60 Minutes" this week. Lee also said that China is on the cusp of surpassing Silicon Valley Read more…

Deep Learning: The Confluence of Big Data, Big Models, Big Compute

Fueled by enterprises seeking greater insight from their analytics, deep learning is now seeing widespread adoption. While this artificial intelligence (AI) discipline was first conceived in the late 1950s, the recent ju Read more…

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