AI & RoboticsNews

Coronavirus is prompting companies to adopt AI call center solutions

As the continued spread of COVID-19 disrupts workplaces and travel plans around the globe, customer service centers are experiencing an unprecedented uptick in overall call volume. This week, travelers looking to modify their itineraries with Canadian airline WestJet experienced waits in excess of 10 hours. Banks and credit card companies, including Capital One, are seeing longer-than-average hold…
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AI & RoboticsNews

Bnh.ai is a new law firm focused only on AI

When VentureBeat asked Andrew Burt why he was starting an AI-focused law firm, Burt was quick to clarify that it’s about AI analytics. But that didn’t answer the underlying question of why the world needs a law firm focused so precisely on this one key area. “The…
AI & RoboticsNews

AI photo app Luminar 4.2 adds augmented sky, facial skin editing tools

Skylum’s photo editing app Luminar has used AI and machine learning tricks to bolster its last two major releases, bringing AI sky enhancement and object removal tools to version 3, then ML-automated sky replacement and face cleaning tools to version 4. Today, the company is adding a new AI Augmented Sky tool and facial shine removal feature to its arsenal, as well as some improvements to past…
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AI & RoboticsNews

Intel debuts Pohoiki Springs, a powerful neuromorphic research system for AI workloads

This morning, Intel announced the general readiness of Pohoiki Springs, a powerful self-contained neuromorphic system that’s about the size of five standard servers. It says the system will be available to members of the Intel Neuromorphic Research Community via the cloud using Intel’s Nx SDK and community-contributed software components, giving them a tool to scale up their neuromorphic…
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AI & RoboticsNews

Researchers detail TrojAI, a framework for hardening AI models against adversarial attacks

One way to test machine learning models for robustness is with what’s called a trojan attack, which involves modifying a model to respond to input triggers that cause it to infer an incorrect response. In an attempt to make these tests more repeatable and scalable, researchers at Johns Hopkins University developed a framework dubbed TrojAI, a set of tools that generate triggered data sets and…
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