The idea of these so-called perception-driven systems is to interpret raw sensor data and convert it into actionable understanding. So, they capture the images as traditional machine vision would, but ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

BITS Pilani Work Integrated Learning Programmes (WILP) has announced the launch of new, industry-focused programmes in Artificial Intelligence & Machine Learning (AI & ML) and ...

Machine learning enables real-time PCB defect detection using a FOMO model on a Raspberry Pi. Learn how with this straightforward approach.

Plainsight, the open developer platform for vision AI, today announced the general availability of the Plainsight Platform, ...

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

Key opportunities in the surface vision and inspection market include rising demand for AI-driven 3D inspection, robotic ...

The use of AI in assessing grain quality is improving in capability and uptake as stakeholders build relationships which are putting their machines in the field...Read More ...

Raft's AI Mission System empowers CENTCOM operators with on-demand computer vision tailored to real-world missions – broad-area satellite search, distributed maritime monitoring, and counter-UxS ...

PACSystems IPC 6010, IPC 7010 and IPC 8010 industrial computing platforms expand Emerson’s family industrial personal computer (IPC) models applications, including artificial intelligence (AI), ...

Paramount Business Jets reports that advances in aviation tech enhance safety by improving turbulence prediction, situational ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...