Some of the latest AI research projects address a fundamental issue in the performance of large auto-regressive language models (LLMs) such as GPT-3 and GPT-4. This issue, referred to as the "Reversal Curse," pertains to the...
Robotic manipulation is advancing towards the goal of enabling robots to swiftly acquire new skills through one-shot imitation learning and foundational models. While the field has made strides in simple tasks like object manipulation, hurdles impede...
An innovative advancement in the domain of Artificial Intelligence is scaling up Transformers. It has made major advancements possible in a number of applications,...
Fuel cells are electrochemical devices that convert the chemical energy from a fuel and an oxidizing agent like Oxygen into electrical energy through a...
We are already in a new era of artificial intelligence, which will have far-reaching consequences for our interactions using technological devices. Now that chat...
In recent years, vision transformers (ViTs) have become a potent architecture for various vision applications, including object identification and picture classification. This is because,...
Numerous real-world graphs include crucial temporal domain data. Both spatial and temporal information are crucial in spatial-temporal applications like traffic and weather forecasting.
Researchers have...
Person re-identification (ReID) aims to identify individuals across multiple non-overlapping cameras. The challenge of obtaining comprehensive datasets has driven the need for data augmentation,...
The scaling rule of language models has produced success like never before. These huge language models have gotten novel emerging capabilities in addition to...
In the realm of video content organization, the segmentation of lengthy videos into chapters emerges as an important capability, allowing users to pinpoint their...
In recent years, the brain-computer interface venture Neuralink Corp., has been on a mission to achieve a groundbreaking symbiosis with artificial intelligence. After conducting...
The rise of large language models (LLMs) has presented both opportunities and challenges. Leveraging these powerful models for complex applications requires intricate workflows that...
Large language models (LLMs) are helpful in various contexts since they can carry out various text-based activities with simple instructions. Applications include content creation,...
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