Matching vendor item codes to your own inventory is an annoying (but necessary) task that often comes up in NetSuite - especially when you're working with standardized inventory that's available…
The field of Natural Language Processing (NLP) has seen significant advancements in recent years, largely driven by the development of sophisticated models capable of understanding and generating human language. One…
The mining industry is undergoing a large transformation with new technologies such as artificial intelligence (AI). As more companies seek to enhance their operations, AI is becoming the top tool…
Integrating advanced predictive models into autonomous driving systems has become crucial for enhancing safety and efficiency. Camera-based video prediction emerges as a pivotal component, offering rich real-world data. Content generated…
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One image can be worth thousands of words. Image by authorA confusion matrix is a convenient way to present the types of mistakes a machine learning mode makes. It is…
In our hunter-gatherer days, we had to classify objects and beings as food, foe, or friend, for survival. Today our need for classification is less for conservation and more for…
Participants and organizers of the TriCon AI Workshop: (L-R) Travis Wagner (Trinnex), Alana Gildner (BV), Yudu (Sonia) Wu (WSP), Madeleine Driscoll (Hazen and Sawyer), Craig Daley (City of Baltimore), John…
In today's business world, data is everything. However, much of the data we need to make critical decisions is often trapped in PDF documents — invoices and expense reports to…
3D occupancy estimation methods initially relied heavily on supervised training approaches requiring extensive 3D annotations, which limited scalability. Self-supervised and weakly-supervised learning techniques emerged to address this issue, utilizing volume…