​ Diffusion models have revolutionized text-to-image synthesis, unlocking new possibilities in classical machine-learning tasks. Yet, effectively harnessing their perceptual knowledge, especially in vision tasks, remains challenging. Researchers from CalTech, ETH Zurich, and the Swiss Data Science Center explore using automatically generated captions to enhance text-image… Read More »Researchers from Caltech and ETH Zurich Introduce Groundbreaking Diffusion Models: Harnessing Text Captions for State-of-the-Art Visual Tasks and Cross-Domain Adaptations Adnan Hassan Artificial Intelligence Category – MarkTechPost

​ Arabic is the national language of more than 422 million people and is ranked the fifth most extensively used language globally. However, it has been largely overlooked in Natural Language Processing. The common language to use has been English. Is it because it is… Read More »University of Sharjah Researchers Develop Artificial Intelligence Solutions for Inclusion of Arabic and Its Dialects in Natural Language Processing Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​ Deciphering speech from brain activity, a longstanding goal in healthcare and neuroscience, has recently seen progress with invasive devices. Deep-learning algorithms trained on intracranial recordings can decode basic linguistic elements. However, extending this to natural speech and non-invasive brain recordings poses a challenge. Researchers… Read More »Meta AI Researchers Introduce a Machine Learning Model that Explores Decoding Speech Perception from Non-Invasive Brain Recordings Adnan Hassan Artificial Intelligence Category – MarkTechPost

​Posted by Nicholas Rubin, Senior Research Scientist, and Ryan Babbush, Head of Quantum Algorithms, Quantum AI Team If you’ve paid attention to the quantum computing space, you’ve heard the claim that in the future, quantum computers will solve certain problems exponentially more efficiently than classical… Read More »Developing industrial use cases for physical simulation on future error-corrected quantum computers Google AI Google AI Blog

​ At one of the U.K.’s largest technology festivals, top enterprises and startups are this week highlighting their latest innovations, hosting workshops and celebrating the growing tech ecosystem based in the country’s southwest. The Bristol Technology Festival today showcased the work of nine startups that… Read More »UK Tech Festival Showcases Startups Using AI for Creative Industries Jamie Allan – Archives Page 1 | NVIDIA Blog

​ The animation, gaming, and fashion sectors may all benefit from the cutting-edge field of expressive human pose and shape estimation (EHPS) from monocular photos or videos. To accurately portray the complex human anatomy, face, and hands, this job often uses parametric human models (like… Read More »This AI Research Proposes SMPLer-X: A Generalist Foundation Model for 3D/4D Human Motion Capture from Monocular Inputs Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ The computer vision community faces a wide range of challenges. Numerous seminar papers were discussed during the pretraining era to establish a comprehensive framework for introducing versatile visual tools. The prevailing approach during this period involves pretraining models on large volumes of problem-related data… Read More »From Specialists to General-Purpose Assistants: A Deep Dive into the Evolution of Multimodal Foundation Models in Vision and Language Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Billions of minuscule particles densely packed into rechargeable lithium-ion battery electrodes play a pivotal role in storing and supplying energy. Visualizing this process through X-ray movies has provided valuable insights, but comprehending the intricate details of particle behavior has remained a challenge. Researchers faced… Read More »A New AI Study Unravels the Secrets of Lithium-Ion Batteries through Computer Vision Niharika Singh Artificial Intelligence Category – MarkTechPost

​ In the field of artificial intelligence, a persistent challenge has been developing interactive AI assistants that can effectively navigate and assist in real-world tasks. While significant progress has been made in the digital domain, such as language models, the physical world presents unique hurdles… Read More »Researchers from Microsoft and ETH Zurich Introduce HoloAssist: A Multimodal Dataset for Next-Gen AI Copilots for the Physical World Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ By producing high-quality and varied outcomes, text-to-image diffusion models trained on large-scale data have considerably dominated generative tasks. In a recently developed trend, typical image-to-image transformation tasks like image alteration, enhancement, or super-resolution are guided by the generated outcomes with external image conditions using… Read More »Researchers from Google and John Hopkins University Reveal a Faster and More Efficient Distillation Method for Text-to-Image Generation: Overcoming Diffusion Model Limitations Aneesh Tickoo Artificial Intelligence Category – MarkTechPost