AI

Synthesis of new visions has witnessed significant advances recently, with Neural Radiance Fields (NeRF) pioneering 3D representation techniques through neural rendering. While NeRF introduced innovative methods to reconstruct scenes by accumulating RGB values ​​along sampling rays using multilayer perceptrons (MLPs), it encountered significant computational challenges. The extensive ray point sampling and large neural network volumes … Read more

Progress in multimodal intelligence depend on processing and understanding images and videos. Images can reveal static scenes by providing information about details such as objects, text, and spatial relationships. However, this comes at the cost of being extremely challenging. Video understanding involves tracking changes over time, among other operations, while ensuring consistency across frames, which … Read more

Artificial intelligence models have advanced significantly in recent years, especially in tasks that require reasoning, such as mathematics, programming, and scientific problem solving. But these advances come with challenges: computational inefficiency and a tendency to overthink. Overthinking in artificial intelligence occurs when models engage in overly lengthy reasoning, leading to increased inference costs and slower … Read more

Advances in artificial intelligence (AI) and machine learning (ML) have enabled transformative advances across various fields. However, the “systems domain” that focuses on optimizing and managing basic AI infrastructure remains relatively underexplored. This domain involves critical tasks such as diagnosing hardware problems, optimizing configurations, managing workloads, and evaluating system performance. These tasks often pose significant … Read more

Pretrained vision models have been the foundation of modern computer vision advances across various domains, such as image classification, object detection, and image segmentation. There is a fairly massive amount of data inflow, creating dynamic data environments that require a continuous learning process for our models. New data protection regulations require specific information to be … Read more

Artificial intelligence has made significant progress, yet some challenges persist in fostering multimodal reasoning and planning capabilities. Tasks that require abstract reasoning, scientific understanding, and precise mathematical calculations often reveal the limitations of current systems. Even leading AI models have trouble integrating different types of data effectively and maintaining logical coherence in their responses. Furthermore, … Read more

OpenAI plans to launch Orion, its next frontier model, by December, The edge have learned. Unlike the release of OpenAI’s last two models, the GPT-4o and o1, Orion will not initially be widely released through ChatGPT. Instead, OpenAI plans to first give access to companies it works closely with to build their own products and … Read more

Pigs make noise, but AI may be able to interpret their sounds and tell us what they’re feeling based on them. A group of scientists has developed an AI algorithm that can decode the emotions of pigs based on their grunts, squeals and sniffles. The research aims to help farmers understand the emotional and physical … Read more

The Week 8 NFL schedule has arrived and one of the most anticipated matchups is Brock Purdy and the San Francisco 49ers hosting Dak Prescott, the Dallas Cowboys. The Cowboys are coming off their bye week after suffering a lopsided 47-9 loss at home to the Detroit Lions. The 49ers, meanwhile, are limping into Sunday’s … Read more