Browsing: AI News
In image recognition, researchers and developers constantly seek innovative approaches to enhance the accuracy and efficiency of computer vision systems. Traditionally, Convolutional Neural Networks (CNNs) have…
A team of researchers from Lehigh University, Massachusetts General Hospital, and Harvard Medical School recently performed a thorough evaluation of GPT-4V, a state-of-the-art multimodal language model,…
In computer vision and robotics, simultaneous localization and mapping (SLAM) systems enable machines to navigate and understand their surroundings. However, the accurate mapping of dynamic environments,…
The health, fashion, and fitness industries are highly interested in the difficult computer vision problem of 3D reconstructing human body parts from pictures. They tackle the…
NeRF stands for Neural Radiance Fields, a deep learning technique for 3D scene reconstruction and view synthesis from 2D images. It typically requires multiple images or…
A team of researchers from Hong Kong introduced two open-source diffusion models for high-quality video generation. The text-to-video (T2V) model generates cinematic-quality videos from text input,…
ChipNeMo explores the utilisation of LLMs for industrial chip design, employing domain adaptation techniques rather than relying on off-the-shelf LLMs. These techniques involve custom tokenisation, domain-adaptive…
In the ever-evolving landscape of robotics and Artificial Intelligence, an interesting and challenging problem is how to educate robots to do jobs on completely unique objects,…
FreeNoise is introduced by researchers as a method to generate longer videos conditioned on multiple texts, overcoming limitations in existing video generation models. It enhances pretrained…
Training a large language model requires significant computational resources, including powerful GPUs and TPUs, as well as specialized hardware such as AI accelerators. These resources can…