The researchers at Upstage (a South Korean AI company) have tackled the challenge of maximizing the performance of language models while minimizing their parameters. In large language models (LLMs), where…
Kinara, a pioneering entity in energy-efficient artificial intelligence at the edge, has introduced its groundbreaking Ara-2 processor, touting its capability to empower large language models (LLMs) and various generative AI…
Video super-resolution, aiming to elevate the quality of low-quality videos to high fidelity, faces the daunting challenge of addressing diverse and intricate degradations commonly found in real-world scenarios. Unlike previous…
Large language models such as GPT-3 require substantial energy due to their computational needs during training and inference. The energy usage varies significantly based on factors like the model’s size,…
The intersection of neuroscience and artificial intelligence has seen remarkable progress, notably through the development of an open-source Python library known as “snnTorch.” This innovative code, which simulates spiking neural…
NVFi tackles the intricate challenge of comprehending and predicting the dynamics within 3D scenes evolving over time, a task critical for applications in augmented reality, gaming, and cinematography. While humans…
Google Researchers have introduced a foundation of models fine-tuned for the healthcare industry, MedLM, which is currently available in the US. It is built on earlier research of Google in…
Primary liver cancer, encompassing hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICCA), poses significant challenges due to their distinct characteristics. The emergence of combined hepatocellular-cholangiocarcinoma (cHCC-CCA), showcasing features of both HCC…
Researchers at the GrapheneX-UTS Human-centric Artificial Intelligence Centre (University of Technology Sydney (UTS)) have developed a noteworthy system capable of decoding silent thoughts and converting them into written text. This…
Researchers from various universities in the UK have developed an open-source artificial intelligence (AI) system, X-Raydar, for comprehensive chest x-ray abnormality detection. Trained on a dataset from six UK hospitals,…