Artificial Intelligence

Business performance forecasting using generative AI & The Hobbit

   ​   For decades Wall Street has used every source of data it can get its hands on to make predictions to guide stock market purchases. In the beginning, it was as simple as reading newspapers and ticker tape. Although these companies don’t usually share their secrets, we know it has evolved to complex hand-written …

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Why and when do you need a purpose-built vector database?

   ​   The increasing popularity of ChatGPT and other large language models (LLMs) has fueled the rise of vector search technologies, including purpose-built vector databases such as Milvus and Zilliz Cloud, vector search libraries such as FAISS, and vector search plugins integrated with traditional databases. However, choosing the best solution for your needs can be …

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Choosing the right machine learning algorithm for your problem

   ​   In this blog, I’ll try to break down how to select an algorithm from a practical approach. However, the Machine Learning training workflow won’t be explained in detail here. Here are five steps you should follow to finish with an optimal algorithm. 1. Identify the type of problem This will certainly help you …

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How AI is driving the future of autonomous vehicles

   ​   Girish Venkataramani, Senior Director, ML Accelerators at Cruise, gave this presentation at the Computer Vision Summit. Hello, everyone. I’m really glad I made it here. I think that a really good topic to talk about today is transportation. But before we get to that, let’s all acknowledge where we are in this AI …

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Transforming industries and everyday life with AI applications

   ​   From utilizing deep learning in tracking devices to help manage sleep routines in infants to computer vision-driven retail stores, AI has found its way into every possible industry sector. This article will cover a couple of highlights in which despite its risks and challenges, AI is transforming society. First up: Education.   Education and …

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How deep learning enhances computer vision in modern manufacturing

   ​   Innovative manufacturers are beginning to harness the potential of Artificial Intelligence (AI), particularly a machine learning niche termed deep learning, for machine vision endeavors. While machine vision systems, comprising both hardware and software, are not novel, their advantages are profoundly evident in sectors like automotive, pharmaceutical, electronic manufacturing, and food and beverage that …

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Kubeflow: Streamlining MLOps with efficient ML workflow management

   ​   Kubeflow is an open-source platform that makes it easy to deploy and manage machine learning (ML) workflows on Kubernetes, a popular open-source system for automating containerized applications’ deployment, scaling, and management. Kubeflow can help you run machine learning tasks on your computer by making it easy to set up and manage a cluster …

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