Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...
News Highlights AI adoption is accelerating faster than enterprise oversight. Despite 200% AI usage growth in key sectors, many organizations ...
SRC, Inc. will use a $24 million contract to develop next-generation, embedded artificial intelligence and machine-learning ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
Embedded Machine Learning Based IoT for In Situ Soil Fertility Estimation Utilizing Low-Cost Sensors
Abstract: For testing soil fertility i.e., available nutrients like nitrogen, phosphorus and potassium (NPK), various chemical methods are available which are mostly laboratory based and are expensive ...
Chen, T. and Liu, D. (2025) Machine Learning and Big Data on Raspberry Pi: A Performance Evaluation.
ABSTRACT: The context of inclusive education for blind people lacks suitable learning materials and traditional devices are difficult to expand, creating a need for a personalized technological ...
SAN JOSE, Calif., Nov. 18, 2025 (GLOBE NEWSWIRE) -- zSpace, Inc. (NASDAQ: ZSPC), a global leader in immersive augmented reality (AR) learning solutions for education, today announced the zStylus One , ...
A PCB business card is a great way for electrical engineers to impress employers with their design skills, but the software they run can be just as impressive as the card itself. As a programmer with ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Python = 3.10.14 PyTorch = 1.13.1 torchvision = 0.14.1 Numpy = 1.26.4 matplotlib = 3.8.0 ...
TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...
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