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Cybord Secures $8.7M in Series A Funding to Revolutionize Electronics Manufacturing with Traceability

Unite.AI

Cybord , a company at the forefront of visual AI technology for electronic manufacturing, has raised $8.7 Cybord's solution addresses these challenges head-on by offering a cutting-edge platform that integrates deep learning and AI to analyze and verify each component used in the assembly of printed circuit boards (PCBA).

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AI Gets Physical: New NVIDIA NIM Microservices Bring Generative AI to Digital Environments

NVIDIA

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.

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AI Emotion Recognition and Sentiment Analysis (2025)

Viso.ai

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.

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Modernizing mainframe applications with a boost from generative AI

IBM Journey to AI blog

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.

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5 Ways AI Created Smarter Spaces in 2023

NVIDIA

Zensors is making visual AI easy for all to use,” said Anuraag Jain, the company’s cofounder and head of product and technology. PepsiCo’s AI Pop Beverage giant PepsiCo has deployed vision AI from KoiReader Technologies, an NVIDIA Metropolis partner, for efficiency gains in reading warehouse labels.

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Simon Randall, CEO and Co-Founder of Pimloc – Interview Series

Unite.AI

Pimloc’s AI models accurately detect and redact PII even under challenging conditions. These deep learning algorithms are trained on domain-specific videos from sources like CCTV, body-worn cameras, and road survey footage. This enables the detection of PII in videos, even when the quality is low.

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AI on the farm: Ag-tech startups help zap weeds, fertilize crops — but still face challenges with data

Flipboard

Pollen Systems uses deep learning combined with visual AI to classify plants — counting them, assessing health, and suggesting actions for various fields through tailored crop profiles for each type. It focuses on high-value crops: wine grapes, apples, kiwis, avocados, nuts, citrus fruit, and more.

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