​ The remarkable performance of language models (LMs) suggests that large-scale next-word prediction could effectively distill knowledge from text corpora into interactive agents. LMs have achieved impressive results on various natural language processing benchmarks, surpassing state-of-the-art methods and even outperforming humans in tasks requiring complex… Read More »This AI Paper Evaluates LLMs’ Ability to Adapt to New Variants of Existing Tasks Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Advances in Deep Learning Methodologies are greatly impacting the Artificial Intelligence community. With some great innovations and developments, a number of tasks are getting easier. Deep Learning techniques are being widely used in almost every industry, be it healthcare, social media, engineering, finance, or… Read More »Meet DeepOnto: A Python Package for Ontology Engineering with Deep Learning Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ The recent couple of years were full of eureka moments for various disciplines. We have witnessed revolutionary methods emerging that resulted in colossal advancements. It was ChatGPT for language models, stable diffusion for generative models, and neural radiance fields (NeRF) for computer graphics and… Read More »The Magic Brush That Works in 3D: Blended-NeRF is an AI Model That Does Zero-Shot Object Generation in Neural Radiance Fields Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ A crack NVIDIA team of five machine learning experts spread across four continents won all three tasks in a hotly contested, prestigious competition to build state-of-the-art recommendation systems. The results reflect the group’s savvy applying the NVIDIA AI platform to real-world challenges for these… Read More »Score! Team NVIDIA Takes Trophy in Recommendation Systems Rick Merritt – Archives Page 1 | NVIDIA Blog

​ Startup MosaicML is on a mission to help the AI community improve prediction accuracy, decrease costs and save time by providing tools for easy training and deployment of large AI models. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with MosaicML… Read More »MosaicML Helps AI Users Boost Accuracy, Cut Costs and Save Time Brian Caulfield – Archives Page 1 | NVIDIA Blog

​ Artificial neural networks have advanced significantly over the past few decades, propelled by the notion that more network complexity results in better performance. These networks may carry out a range of human-like activities, including face recognition, speech recognition, object identification, natural language processing, and… Read More »A New AI Research Proposes VanillaNet: A Novel Neural Network Architecture Emphasizing the Elegance and Simplicity of Design while Retaining Remarkable Performance in Computer Vision Tasks Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Large Language Models have been able to dive into almost every domain. From Natural Language Processing and Natural Language Understanding to Computer vision, these models have incredible capabilities to provide solutions in every field of Artificial Intelligence. Developments in Artificial Intelligent and Machine Learning… Read More »Meet ProtST: A Framework That Enhances Protein Sequence Pre-Training and Understanding By Biomedical Texts Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ To have a discovery via a Machine Learning algorithm, we need to have a large dataset of training data. There was a problem in predicting the molecular properties and generating new molecules. This can be solved via Machine Learning and Deep Learning approaches. But,… Read More »MIT Researchers Have Developed a Unified Framework that Uses Machine Learning to Simultaneously Predict Molecular Properties and Generate New Molecules Using Only a Small Amount of Data for Training Artificial Intelligence Category – MarkTechPost

​ Matching corresponding points between images is crucial to many computer vision applications, such as camera tracking and 3D mapping. The conventional approach involves using sparse interest points and high-dimensional representations to match them based on their visual appearance. However, accurately describing each issue becomes… Read More »Researchers From ETH Zurich and Microsoft Introduce LightGlue: A Deep Neural Network That Learns To Match Local Features Across Images Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Federated learning (FL) is a new machine learning (ML) environment in which a logically centralized coordinator orchestrates numerous dispersed clients (e.g., cellphones or laptops) to train or assess a model collectively. It enables model training and assessment of end-user data while avoiding significant costs… Read More »University of Michigan Researchers Open-Source ‘FedScale’: a Federated Learning (FL) Benchmarking Suite with Realistic Datasets and a Scalable Runtime to Enable Reproducible FL Research on Privacy-Preserving Machine Learning Aneesh Tickoo Artificial Intelligence Category – MarkTechPost