Visual data modeling, such as photographs and videos, is a canonical problem in deep learning. Many current deep learning backbones with good performance on...
Deep learning methods have been a game-changer in lots of applications. They have been the core components of field advancements in the last decades,...
While open-source software has made AI accessible to more people, there are still two significant barriers to its widespread use: inference delay and cost.
System...
Open-source hardware and software have been indispensable to growing industries' demand to scale innovations, especially in AI. Almost every industry is adopting AI in...
Information is processed by microprocessors in computers, data centers, and smartphones by manipulating electrons that pass through solid semiconductors. However, our brains have a...
The ground-breaking research conducted in the last ten years is mainly responsible for the remarkable achievements gained in machine learning. Machine learning applications are...
We all saw the importance of good-quality video conferencing tools during COVID lockdowns. Education, entertainment, work meetings, and family visits became video conferences, and...
Word embeddings can capture semantic and syntactic similarities between words meaningfully. Word2Vec, GloVe, and FastText are popular embeddings. Despite the growing popularity of contextual...
By prompting a text-to-image model we can generate images of a wide variety of objects. With clever prompting, it’s also possible to synthesize different...
In many commercial and scientific applications, the challenge of forecasting or predicting future values based on historical values is crucial. This is because forecasting...
Many people who regularly use social media, cell phones, home security cameras, and location trackers don't realize the full extent of their data. They...
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