Cost of poor quality is top of mind for manufacturers. Quality defects increase scrap and rework costs, decrease throughput, and can impact customers and company reputation. Quality inspection on the production line is crucial for maintaining quality standards. In many cases, human visual inspection is used to assess the quality and detect defects, which can …
Perception Point unveils new detection technology employing AI-powered LLMs and deep learning architecture to identify, thwart BEC attacks.Read More
A new soft robotic glove is lending a ‘hand’ and providing hope to piano players who have suffered a disabling stroke or other neurotrauma. Combining flexible tactile sensors, soft actuators and AI, this robotic glove is the first to ‘feel’ the difference between correct and incorrect versions of the same song and to combine these …
Read more “Robotic glove that ‘feels’ lends a ‘hand’ to relearn playing piano after a stroke”
A study of the soaring use of artificial intelligence in software creation says we are in the midst of “a sea change” in program development that will ultimately boost local global gross domestic product by $1.5 trillion by 2030.
Starting your prompt with product image of _____ really helps your subject stand out. Combine it with a brief background description and what type of surface the object is resting on. These key words are also help bring everything together: macro, depth of field, product imagery, symmetrical, logical design, highly detailed HassanBlend 1.5 50 steps …
Read more “Add “product image” anytime your subject is an object”
Enterprises had been looking for ways to automate business processes since long before Generative AI (or GenAI) broke into the scene. Now that the potential is real and widespread, alarms are sounding about the impact of Generative AI on jobs. Goldman Sachs suggests that as many as 300 million jobs could be affected by GenAI. …
Figure 1: CoarsenConf architecture. Molecular conformer generation is a fundamental task in computational chemistry. The objective is to predict stable low-energy 3D molecular structures, known as conformers, given the 2D molecule. Accurate molecular conformations are crucial for various applications that depend on precise spatial and geometric qualities, including drug discovery and protein docking. We introduce …
When a critical asset like an expensive piece of machinery or infrastructure breaks unexpectedly, it affects customers and can cost companies millions. To be successful, businesses need to have clear, real-time visibility into the condition of their assets and a plan to keep them running smoothly and make repairs quickly when things break. Enterprises are …
Posted by Fabian Pedregosa and Eleni Triantafillou, Research Scientists, Google Deep learning has recently driven tremendous progress in a wide array of applications, ranging from realistic image generation and impressive retrieval systems to language models that can hold human-like conversations. While this progress is very exciting, the widespread use of deep neural network models requires …
Read more “Announcing the first Machine Unlearning Challenge”
Organizations are continuously investing time and effort in developing intelligent recommendation solutions to serve customized and relevant content to their users. The goals can be many: transform the user experience, generate meaningful interaction, and drive content consumption. Some of these solutions use common machine learning (ML) models built on historical interaction patterns, user demographic attributes, …
Read more “Recommend and dynamically filter items based on user context in Amazon Personalize”