News & Insights for the AI Journey|Sunday, August 25, 2019
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Talk to Me: Nvidia Claims NLP Inference, Training Records

Nvidia says it’s achieved significant advances in conversation natural language processing (NLP) training and inference, enabling more complex, immediate-response interchanges between customers and chatbots. And the company says it ...Full Article

Hacker Traffic Havoc: Stalled Autonomous Cars and City-wide Gridlock

Another potential source of skepticism about self-driving cars has cropped up, one that the auto industry may need to quell in the public mind: a new report depicts hackers ...Full Article

Applied Materials Embedding New Memory Technologies in Chips

Applied Materials, the $17 billion Santa Clara-based materials engineering company for the semiconductor industry, today announced manufacturing systems enabling new memory technologies to be deposited “with atomic-level precision” within ...Full Article

At ISC19: HPC on Pace for 5-Year 6.8% CAGR; Guess Which Hyperscaler Spent $10B+ on IT Last Year?

In the neck-and-neck horse race for HPC server market share, HPE has hung on to a slim, shrinking lead over Dell EMC – but if server and storage market ...Full Article

Deep Learning that Keeps Learning – Near-Time Training at the Edge

Deep learning is still a stick-figure emulation of human learning. DL can be trained to a supercharged IQ based on an astounding amount of information, enabling it to execute ...Full Article

Needed for Voice-Assisted Technologies: Context

Modern voice-assistant technology has only been in the market inside of a decade but in that time, has quickly become a ubiquitous example of recent advances in the field ...Full Article

Nvidia on the Spot: Answering Autonomous Driving Ethical Questions

We’ve all heard the question: An autonomous car carrying an adult comes around a blind turn and detects a child in the middle of the road. To the left ...Full Article

Six Skills Separating Intelligent AI from Basic Automation

Managing the modern customer experience today means most businesses are implementing, or at least investigating, an automated, digital, workforce. Since coming to market almost a decade ago, RPA (robotic ...Full Article

Study: AI’s Not Just in the Future of Work – it’s Big Now

Pundits trumpet AI as the future for U.S. employment, but new research indicates AI's prevalence on the job is already here. How do we know? Because workers told us. ...Full Article

The Process Industry: 4 AI Questions to Ask before Implementation

Food processing, beverage production, chemical manufacturing, water treatment, and other verticals in the process industry know that performance monitoring of industrial assets and processes plays a critical role. It’s ...Full Article
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