​ We’ve all heard of the possibilities of artificial intelligence, machine learning, and deep learning. There have been many situations where artificial intelligence has made a measurable impact on an organization, and there have also been situations where organizations have wasted millions of dollars on… Read More »Artificial Intelligence vs Machine Learning vs Deep Learning Narender Kumar Spark By {Examples}

​Generative adversarial networks (GANs), trained on a large-scale image dataset, can be a good approximator of the natural image manifold. GAN-inversion, using a pre-trained generator as a deep generative prior, is a promising tool for image restoration under corruptions. However, the performance of GAN-inversion can… Read More »RGI: Robust GAN-inversion for Mask-free Image Inpainting and Unsupervised Pixel-wise Anomaly Detection Apple Machine Learning Research

​Unsupervised pixel-level defective region segmentation is an important task in image-based anomaly detection for various industrial applications. The state-of-the-art methods have their own advantages and limitations: matrix-decomposition-based methods are robust to noise but lack complex background image modeling capability; representation-based methods are good at defective… Read More »PAEDID: Patch Autoencoder-based Deep Image Decomposition for Unsupervised Anomaly Detection Apple Machine Learning Research

​ The $ifNull operator in MongoDB is used to check if a specified expression is null and returns either the specified expression or a default value. Also, this operator can be very useful when we want to handle null values in MongoDB queries. Here, we… Read More »Using $ifNull Operator in MongoDB AQSA Spark By {Examples}

​ The performance accuracy of models employed in various speech translation tasks has greatly increased due to recent scientific advances. Although these models perform better than ever, they are still far from perfect. One of the primary reasons for this shortcoming is background noise. Different… Read More »Meta AI Releases MuAViC: A New Benchmark For Audio-Visual Learning For Robust Speech Translation Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ Recent years have seen remarkable advances in developing large language models (LLMs), including T5, BLOOM, and GPT-3. ChatGPT, based on InstructGPT, is a major advancement because it is taught to hold on to conversational context, respond appropriately to follow-up inquiries, and generate accurate responses.… Read More »Microsoft Research Introduces Visual ChatGPT That Incorporates Different Visual Foundation Models Enabling Users To Interact With ChatGPT Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ In this paper, researchers from OpenAI, who are behind state-of-the-art work on diffusion models, propose “consistency models.” Inspired by diffusion models, they allow for the generation of realistic samples in a single forward pass. Diffusion models have made spectacular breakthroughs in recent years, surpassing… Read More »Open AI Proposes Consistency Models: A New Family of Generative Models That Achieve High Sample Quality Without Adversarial Training Simon Benaïchouche Artificial Intelligence Category – MarkTechPost

​ Random Face Generator creates random faces using cutting-edge image processing methods. Big data techniques may make random faces that seem genuine but are not truly present in the real world. These faces are certain to feature genuine facial details, matching gender, age, and emotions.… Read More »Top AI Random Face Generator Apps (2023) Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

​ 3D detectors equipped with LiDAR points for autonomous driving have exhibited outperforming performance. Unfortunately, LiDAR sensors are often expensive and weather-sensitive, restricting their use. In contrast, stereo cameras are gaining popularity due to their excellent balance of affordability and accuracy. Due to stereo matching’s… Read More »Baidu AI Introduces StereoDistill: A Cross-Modal Distillation Method That Narrows The Gap Between Stereo And LiDAR-Based Approaches For 3D Object Detection Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Deep learning has made significant strides in text generation, translation, and completion in recent years. Algorithms trained to predict words from their surrounding context have been instrumental in achieving these advancements. However, despite access to vast amounts of training data, deep language models still… Read More »Deep Language Models are getting increasingly better by learning to predict the next word from its context: Is this really what the human brain does? Niharika Singh Artificial Intelligence Category – MarkTechPost