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University Hospital of Basel Unveils TotalSegmentator: A Deep Learning Segmentation Model that can Automatically Segment Major Anatomical Structures in Body CT Images
Researchers at the Clinic of Radiology and Nuclear Medicine at University Hospital Basel have developed a deep learning model called TotalSegmentator that can automatically segment anatomical structures in CT images. The model has been trained on a large dataset and can accurately segment a wide range of organs with minimal user input. The researchers have…
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OpenAI DevDay: what’s new in the world of artificial intelligence
OpenAI’s DevDay showcased innovative features, offering exciting opportunities in the field of artificial intelligence. Discover the latest advancements and explore a world of endless possibilities in our article.
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This AI Paper Introduces Grounding Large Multimodal Model (GLaMM): An End-to-End Trained Large Multimodal Model that Provides Visual Grounding Capabilities with the Flexibility to Process both Image and Region Inputs
Grounding Large Multimodal Model (GLaMM) is introduced as a novel model for visually grounded conversations. GLaMM allows for natural language replies combined with object segmentation masks, providing improved user engagement. The researchers also introduce the Grounded Conversation Generation (GCG) task and the Grounding-anything Dataset (GranD) to aid in model training and evaluation.
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UCLA Researchers Introduce ‘Rephrase and Respond’ (RaR): A New Artificial Intelligence Method that Enhances LLMs’ Understanding of Human Questions
Researchers at UCLA have developed a method called Rephrase and Respond (RaR) to improve the performance of Language Model LLMs. RaR allows LLMs to rephrase and expand human questions in a single prompt, demonstrating effectiveness across different tasks. The approach enhances translation and exhibits significant performance improvements compared to other methods. It also complements the…
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The World’s Smallest Data Pipeline Framework
The World’s Smallest Data Pipeline Framework is a simple and fast foundation for data pipelines with advanced functionality. It outlines a process for cleaning and transforming data, and introduces the concept of a pipeline to streamline the process. The framework also includes features like filtering, parallel processing, and visualization.
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Fine-tune Whisper models on Amazon SageMaker with LoRA
Whisper is an Automatic Speech Recognition (ASR) model trained on 680,000 hours of supervised data from the web. However, it has low-performance on low-resource languages like Marathi and Dravidian languages. Fine-tuning Whisper is challenging due to high computational and storage requirements. LoRA is a unique approach to fine-tuning that reduces trainable parameters and GPU memory…
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Neurodiversity and invisible disabilities in Agile
This post discusses the importance of embracing neurodiversity and addressing invisible disabilities within Agile teams. It also provides practical tips for creating an inclusive and efficient team.
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The Creative, Occasionally Messy World of Textual Data
This article discusses the emergence of large language models in the field of natural language processing (NLP) and the innovative ways in which they are being used. It highlights various applications such as text-to-image and text-to-speech, as well as techniques like prompt engineering and knowledge graph augmentation. The article also mentions other recent standout articles…
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Learn AI for Free: 10 Best AI Courses to Take Right Now (2023)
Artificial intelligence (AI) is revolutionizing various industries and daily life. Learning about AI is essential for professionals in many fields, and luckily, there are free resources available online. This article presents the top five free AI courses in 2023, covering topics such as AI in software testing, generative AI, machine learning, AI chatbots, and machine…
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Microsoft Creates Custom AI Chips
Microsoft has introduced two new chips, the Azure Maia AI Accelerator and the Azure Cobalt CPU, as part of its efforts to enhance AI infrastructure. The chips have been carefully designed to cater to the growing demand for AI applications. These chips will initially be deployed in Microsoft’s datacenters and will power internal services like…