Today’s Daily AI Round-up covers the latest Artificial Intelligence announcements on Accounting firms, Self-driving cars, Royalty-free sounds, and 3D image recognition technology from Palette Software, Lytx, LANDR, Recurrent Dynamics and Z Advanced Computing, Inc. (ZAC).
Michael Cichy of Palette Software is conducting an educational session at Accountex Boston on Friday, September 6 at 11:30 EDT to share how accounting firms are using technology such as AI and automation to reduce employee and supplier fraud.
Organizations large and small are affected by inefficient and uncontrolled supply chain accounting processes. The session will focus on advances in technology accounting firms can use to help their clients operate more efficiently with controls that handle current and future compliance issues.
Lytx, a leading global provider of machine vision and Artificial Intelligence-powered video telematics solutions for commercial and public sector fleets, today shared its data showing drowsy driving and falling asleep behind the wheel are dramatically declining among commercial drivers who use the Lytx Driver Safety Program.
Lytx data reflects a 39 percent reduction in drowsy driving events among Lytx clients from June 2018 to June 2019 and a 66 percent reduction in drivers falling asleep behind the wheel. The data also shows morning hours between 5 and 8 a.m. had the highest concentration of events recorded for drowsy driving, falling asleep behind the wheel, and collisions, while 6 to 9 p.m. had the fewest instances.
LANDR, the creative platform for musicians, has added one million royalty-free sounds to its samples database and launched the world’s first AI-powered Sample Recommendation Service.
LANDR released a free, curated samples marketplace in 2018 with thousands of royalty-free sounds from renowned artists and producers. The site’s success inspired LANDR’s team to take on a new challenge: use its expertise in artificial intelligence to help musicians find the right sounds, faster.
Recurrent Dynamics, a Toronto based AI start-up announced that it has achieved a computational breakthrough that makes it viable to train Artificial Intelligence continuously, at the edge, on devices such as cell phones, tablets, self-driving cars and any of the worlds 25 billion connected devices.
According to Max Trokhimtchouk, CEO and founder of Recurrent Dynamics, “Advancement in the capabilities of artificial intelligence is hindered by the current paradigm for training. This involves the acquisition of data and training on centralized cloud infrastructure, typically provided by Amazon Web Services, Google Compute Cloud, or Microsoft Azure. The huge upfront cost and complexity of this paradigm mean that only very well funded companies can advance AI capabilities. We are changing that.”
Z Advanced Computing, Inc. (ZAC), a software startup, is funded by the US Air Force, to use ZAC’s detailed 3D image recognition technology, based on Explainable-AI, for drones (unmanned aerial vehicle or UAV) for aerial image/object recognition. ZAC is the first to demonstrate Explainable-AI, where various attributes and details of 3D (three dimensional) objects can be recognized from any view or angle. “With our superior approach, complex 3D objects can be recognized from any direction, using only a small number of training samples,” said Dr. Saied Tadayon, CTO of ZAC.
“You cannot do this with the other techniques, such as Deep Convolutional Neural Networks, even with an extremely large number of training samples. That’s basically hitting the limits of the CNNs,” continued Dr. Bijan Tadayon, CEO of ZAC. “For complex tasks, such as drone vision, you need ZAC’s superior technology to handle detailed 3D image recognition,” emphasized Dr. Saied Tadayon. “This is fairly similar to the ways humans learn and recognize,” added Dr. Bijan Tadayon.
To participate, write to us at email@example.com