News
As the CEO of Bhashini, Nag is helping build the government's platform to make digital content and services more accessible ...
According to Hugging Face, advancements in robotics have been slow, despite the growth in the AI space. The company says that ...
In this paper, we implement and parallelize batch learning for a Sequence-to- Sequence (Seq2Seq) model, which is the most basic model of NMT, without using a padding strategy. More specifically, our ...
Waste Image Segmentation Using Convolutional Neural Network Encoder-Decoder with SegNet Architecture
In this paper, we propose a waste segmentation method using Convolutional Neural Network based on the Encoder-Decoder approach ... setups of the architecture based on the number of filters in each ...
Humans naturally learn by making connections between sight and sound. For instance, we can watch someone playing the cello ...
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
The Summit is the premier conference for innovators focused on computer vision and edge AI technologies. Dr. Lewis' presentation, titled "State-Space Models vs Transformers at the Extreme Edge: ...
Indeed, electrosensation could offer a window into the fundamental neural systems of sensory processing, including human vision or hearing ... They validated the model with results from previous ...
A new AI model, H-CAST, groups fine details into object-level concepts as attention moves from lower to high layers, outputting a classification tree—such as bird, eagle, bald eagle—rather than ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results