NVIDIA

JULY 29, 2024

NVIDIA announced at SIGGRAPH generative physical AI advancements including the NVIDIA Metropolis reference workflow for building interactive visual AI agents and new NVIDIA NIM microservices that will help developers train physical machines and improve how they handle complex tasks.

Generative AI 107

Generative AI Visual AI Robotics Computer Vision 107

Viso.ai

OCTOBER 9, 2024

Enterprise computer vision pipeline with Viso Suite We provide an overview of Emotion AI technology, trends, examples, and applications: What is Emotion AI? How does visual AI Emotion Recognition work? Facial Emotion Recognition Datasets What Emotions Can AI Detect? Get a personalized demo for your organization.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Emotion AI 98

IBM Journey to AI blog

JANUARY 11, 2024

Overcoming the limitations of generative AI We’ve seen numerous hypes around generative AI (or GenAI) lately due to the widespread availability of large language models (LLMs) like ChatGPT and consumer-grade visual AI image generators.

Generative AI 329

Generative AI AI AI DevOps 329

Unite.AI

AUGUST 1, 2024

Secure Redact uses advanced machine learning and computer vision techniques to recognize and redact personally identifiable information (PII) in various image and video contexts, such as faces and license plates. Pimloc’s AI models accurately detect and redact PII even under challenging conditions.

Machine Learning 147

Machine Learning Deep Learning Automation Computer Vision 147

Flipboard

AUGUST 11, 2023

Powered by a low-energy AI model, Aigen’s robot can run on solar power and send real-time crop information to a cloud-based mobile app. Pollen Systems is a Seattle-area ag-tech startup that uses aerial imagery and individual per-plant data to train its models. They decided to focus on agriculture.

Robotics 123

Robotics Machine Learning Computer Vision Large Language Models 123

NVIDIA

DECEMBER 6, 2023

A member of the NVIDIA Metropolis vision AI partner ecosystem, Zensors helped the Toronto Pearson operations team significantly reduce wait times in customs lines, decreasing the average time it took passengers to go through the arrivals process from an estimated 30 minutes during peak periods in 2022 to just under six minutes last summer.

Visual AI 114

Visual AI Neural Network AI AI 114

DataRobot Blog

DECEMBER 20, 2022

Datarobot enables users to easily combine multiple datasets into a single training dataset for AI modeling. Because our training dataset is multimodal and contains imagery data of residential properties in Madrid, DataRobot used machine learning models that contain deep learning based image featurizers.

Explainability 59

Explainability Automation Machine Learning AI 59