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Computer vision deployments drive retail productivity gains

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, AI Market Trends, Artificial Intelligence, automation, Computer vision, Deep Dives, Features, How It Works, Infrastructure & Hardware, Inside AI, inventory control, physical ai, productivity, Retail, Retail & Logistics AI, shelf hardware, simbe robotics, store intelligence, World of Work

Computer vision deployments are driving retail productivity gains as operators automate physical shelf tracking to protect eroding margins. This hardware deployment directly addresses the persistent in-store execution failures currently costing the industry billions. A study authored by Coresight Research – in partnership with technology providers Simbe and RELEX Solutions – calculates the exact cost of […]

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Could AI tell you where you left your keys?

Aeronautical and astronautical engineering, ai, AI (Artificial Intelligence), Algorithms, Artificial Intelligence, Autonomous vehicles, Computer science and technology, Computer vision, Electrical engineering and computer science (EECS), Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, Research, Robotics, School of Engineering

An auto factory worker can remember the storage bin where she left a partly assembled component the night before, and quickly return to that spot to pick it up. But robots that may work side-by-side with her would struggle to develop and access this same type of “spatiotemporal” memory.Now, MIT researchers have developed a long-term

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Zyphra Release Zamba2-VL: Hybrid Mamba2–Transformer Vision-Language Models That Cut Time-to-First-Token by About an Order of Magnitude

ai, AI (Artificial Intelligence), AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, Software engineering, Staff, Tech News, Technology, Uncategorized, Vision Language Model

Zyphra has released Zamba2-VL, a family of open vision-language models. The release covers three sizes: 1.2B, 2.7B, and 7B parameters. Each model is built on the Zamba2 hybrid SSM–Transformer backbone. Vision-language models (VLMs) read images and text together. They answer questions about charts, documents, and photos. Most open VLMs use a dense Transformer as the

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Aviva deploys AI to stop £230M in sophisticated insurance fraud

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, AI Market Trends, Artificial Intelligence, asset protection, Aviva, Computer vision, deep learning, Enterprise AI, Featured News, Features, Finance AI, Fintech, Fraud, fraud detection, How It Works, Inside AI, Insurance, Machine Learning, Natural Language Processing (NLP), risk management, Trust, Bias & Fairness, World of Work

Aviva has uncovered a record £230 million in insurance fraud claims and is using AI tools to counter the growing problem. The battleground has changed, and the culprits are also coming armed with a new generation of tools. We’re now in an environment where AI is being used not just to defend against fraud, but

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Weis Markets adds Instacart AI-powered shopping carts to stores

ai, AI (Artificial Intelligence), AI in Action, Artificial Intelligence, Computer vision, Marketing AI, physical ai, Retail, Retail & Logistics AI

Weis Markets is adding Instacart’s AI-powered shopping carts, Caper Carts, to select stores in Pennsylvania, bringing digital coupons, loyalty features, and repeat-purchase recommendations into the grocery aisle. The Pennsylvania-based grocery chain is working with Instacart to deploy the smart carts, which include cameras, certified scales, location systems, and a touchscreen. According to Instacart, Caper Carts

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A Hands-On Coding Tutorial on Qualcomm AI Hub Models for Classification, Object Detection, and Hardware-Aware Deployment

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer vision, Editors Pick, Staff, Technology, Tutorials

In this tutorial, we work through an end-to-end workflow for Qualcomm AI Hub Models. We start by setting up the required package, discovering the available model collection, and loading MobileNet-V2 for local PyTorch inference. We also handle an important input-shape issue by converting NHWC image tensors into the NCHW format expected by the model. From

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MIT researchers teach AI models to interpret charts

ai, AI (Artificial Intelligence), Artificial Intelligence, Business and management, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, data, Electrical engineering and computer science (EECS), Machine Learning, MIT Schwarzman College of Computing, MIT-IBM Computing Research Lab, Research, School of Engineering

To accelerate and refine decision-making in a fast-paced, global marketplace, enterprises may deploy generative artificial intelligence models to help summarize and interpret the charts that often fill market summaries and financial reports.But even the latest vision-language models sometimes struggle with this task, since it requires a model to integrate visual, numerical, and linguistic understanding. A

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Image Recognition in AI: How It Works

ai, AI (Artificial Intelligence), AI image recognition, Artificial Intelligence, Computer vision, convolutional neural networks, deep learning, Facial recognition, image classification, image recognition, image segmentation, neural networks, object detection, vision transformers

Why it matters: How does image recognition work? See the full pipeline from pixels to predictions, real accuracy data, top uses, and the risks every team should know.

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NBA plans AI system for automatic out-of-bounds calls

ai, AI (Artificial Intelligence), AI in Action, Artificial Intelligence, automation, Computer vision, digital transformation, entertainment, Entertainment & Media, Featured, Features

NBA Commissioner Adam Silver said the league plans to introduce an automated system for certain officiating decisions, including out-of-bounds calls. The system would use AI and cameras placed around the court to determine possession. Silver compared the approach to Hawk-Eye, the tracking technology used for line calls in tennis. Disputed call preceded Silver’s comments Silver’s

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