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Material-handling activities can be dangerous because they require repetitive tasks that may cause strain or injuries. Additionally, employees must learn specifics such as proper lifting techniques and ergonomic posture principles to increase their chances of staying safe on the job.
Understandably, many executives wonder if there is an easier, more effective way. Some have…
Long Video Segmentation involves breaking down a video into certain parts to analyze complex processes like motion, occlusions, and varying light conditions. It has various applications in autonomous driving, surveillance, and video editing. It is challenging yet critical to accurately segment objects in long video sequences. The difficulty lies in handling extensive memory requirements and…
This work was made possible by core research and engineering efforts from Andrea Agostinelli, Zalán Borsos, George Brower, Antoine Caillon, Cătălina Cangea, Noah Constant, Michael Chang, Chris Deaner, Timo Denk, Chris Donahue, Michael Dooley, Jesse Engel, Christian Frank, Beat Gfeller, Tobenna Peter Igwe, Drew Jaegle, Matej Kastelic, Kazuya Kawakami, Pen Li, Ethan Manilow, Yotam Mann,…
And how much I made my first year Photo by Amy Hirschi on UnsplashCongratulations, you have landed a data science position! You open your offer letter and … Well, you’re a bit disappointed. This is completely normal, at least for most companies, and especially if you are a junior or just starting out in the…
The rapid progress of text-to-image (T2I) diffusion models has made it possible to generate highly detailed and accurate images from text inputs. However, as the length of the input text increases, current encoding methods, such as CLIP (Contrastive Language-Image Pretraining), encounter various limitations. These methods struggle to capture the full complexity of long text descriptions,…
Vision-Language-Action Models (VLA) for robotics are trained by combining large language models with vision encoders and then fine-tuning them on various robot datasets; this allows generalization to new instructions, unseen objects, and distribution shifts. However, various real-world robot datasets mostly require human control, which makes scaling difficult. On the other hand, Internet video data offers…
How to build ML products users love. 23 min read · Oct 14, 2024 Photo by Pavel Danilyuk: https://www.pexels.com/photo/a-robot-holding-a-flower-8438979/Data science offers rich opportunities to explore new concepts and demonstrate their viability, all towards building the ‘intelligence’ behind features and products. However, most machine learning (ML) projects fail! And this isn’t just…