This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. In their 1980 book “Metaphors we live by”, cognitive linguists George Lakoff and Mark Johnson famously argue that practically all human thought is governed by metaphors – creative analogies that help explain one thing in terms of […]
Can Neural Networks “Think” in Analogies? Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. More than 1,000 companies transform their spaces and processes with vision AI using NVIDIA Metropolis, which comprises developer tools downloaded over 1 million times. With AI at its tipping point, AI-enabled computer vision is being used to
Delivering new performance and code-migration capabilities The just-released Intel® oneAPI 2023.1 tools augment the latest Intel® architecture features with high-bandwidth memory analysis, photorealistic ray tracing and path guiding, and extended CUDA-to-SYCL code migration support. Additionally, they continue to support the latest update of Codeplay’s oneAPI plugins for NVIDIA and AMD that make it easier to
Now Available: Intel oneAPI 2023.1 Tools Read More +
This article was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Working in a hazardous environment always requires protection to prevent injuries. In most fatal accidents the workers are not wearing the right protection or using it properly. Due to the dynamic nature of some work, danger
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA TAO Toolkit provides a low-code AI framework to accelerate vision AI model development suitable for all skill levels, from novice beginners to expert data scientists. With NVIDIA TAO (Train, Adapt, Optimize) Toolkit, developers can use the power
Access the Latest in Vision AI Model Development Workflows with NVIDIA TAO Toolkit 5.0 Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How we are pushing the boundaries of integer quantization and making it possible at scale. Artificial intelligence (AI) is enhancing our daily lives, whether it’s improving collaboration, providing entertainment, or transforming industries through autonomous vehicles, digital health,
The Future of Model Efficiency for Edge AI Read More +
We launched Edge Impulse to help developers and companies embed data-driven machine learning algorithms into physical devices, bridging the gap between technology and real life. I’m in awe every day of the incredible products our customers are building — like Oura, who are improving lives with best-in-class sleep tracking, and Advantech, who have unlocked extreme
Unveiling BYOM and the Edge Impulse Python SDK Read More +
Ludimila Centeno, Director of Product Line Management at Immervision, demonstrates the company’s latest edge AI and vision technologies and products at the March 2023 Edge AI and Vision Innovation Forum. Specifically, Centeno demonstrates the company’s Imvisio-ML, a revolutionary ultra wide-angle camera module with low-light capabilities that meet the highest standards within the Blue UAS Framework,
Immervision Demonstration of the Imvisio-ML Ultra Wide-angle Camera Module Read More +
Shashi Chilappagari, Co-Founder and Chief Architect at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the March 2023 Edge AI and Vision Innovation Forum. Specifically, Chilappagari demonstrates machine learning model multiplexing on the company’s ORCA AI hardware accelerator. Developing real-world edge AI applications often requires using multiple machine learning (ML)
DeGirum Demonstration of Machine Learning Model Multiplexing on ORCA Read More +
This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. NVIDIA announced today TAO Toolkit 5, which now supports the ONNX quantized format, thus opening STM32 engineers to a new way of building machine learning applications by making the technology more accessible. The ST demo featured an
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