In a paper published on the preprint server Arxiv.org, researchers at IBM propose StarNet, an end-to-end trainable image classifier that’s able to localize what it believes to be the key regions supporting its predictions. Besides addressing the task of visual classification, StarNet supports the task of weakly supervised few-shot object detection, such that only a small amount of noisy data is…
In a new study, researchers at Amazon describe a technique that factors in information about knowledge graphs to perform entity alignment, which entails determining which elements of different graphs refer to the same “entities” (which might be anything from products to…
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…
Ada Support, a Toronto-based company developing AI-driven customer experiences, today revealed that it nabbed a $44 million series B tranche. Cofounder and CEO Mike Murchison says it will be used to scale Ada’s platform and provide enhanced functionality across traditional business silos, which could help organizations optimize customer service operations while improving overall customer…
Bnh.ai is a new law firm focused only on AI
March 19, 2020
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…
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…
Members of the Google Brain team and Google AI this week open-sourced EfficientDet, an AI tool that achieves state-of-the-art object detection while using less compute. Creators of the system say it also achieves faster performance when used with CPUs or GPUs than other popular objection detection models like YOLO or AmoebaNet.
When tasked with semantic segmentation, another task related to object…
In a preprint paper, Microsoft researchers describe a machine learning system that reasons out the correct actions to take directly from camera images. It’s trained via simulation and learns to independently navigate environments and conditions in the real world, including…
Intel debuts Pohoiki Springs, a powerful neuromorphic research system for AI workloads
March 18, 2020
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…
Over the past four years, the strongest demand for candidates with AI skills hasn’t come from IT departments, but from other business units within organizations. That’s according to a Gartner report that found that the number of AI jobs posted by IT was less than half of that from other departments, indicating that hiring strategies haven’t kept pace with demand in the AI labor market.
In…
