AWS Machine Learning Blog

MAY 10, 2023

Sleepme is an industry leader in sleep temperature management and monitoring products, including an Internet of Things (IoT) enabled sleep tracking sensor suite equipped with heart rate, respiration rate, bed and ambient temperature, humidity, and pressure sensors. This is a guest post co-written with Trey Robinson, CTO at Sleepme Inc.

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AWS Machine Learning Blog

JANUARY 13, 2023

On the edge, the framework facilitates training and deployment of edge models to mobile phones and internet of things (IoT) devices. in Computer Science from the University of Southern California , Los Angeles, USA. in Electrical Engineering and Computer Sciences from UC Berkeley in 2008.

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Dataconomy

APRIL 20, 2023

Edge computing: Edge computing is a distributed computing paradigm that involves processing and analyzing data at the “edge” of the network, closer to where it is generated. Biocomputing: Biocomputing is an emerging field that aims to develop computing systems using biological materials like DNA and proteins.

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Dataconomy

APRIL 6, 2023

As the use of digital devices continues to grow, the demand for computer forensics experts is likely to continue to increase. The Open University has a great article examining the history of computer forensics.

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Dataconomy

APRIL 6, 2023

As the use of digital devices continues to grow, the demand for computer forensics experts is likely to continue to increase. The Open University has a great article examining the history of computer forensics.

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Pickl AI

NOVEMBER 8, 2023

Artificial Intelligence and IoT Python is well-suited for developing AI applications and Internet of Things (IoT) solutions, contributing to the growth of these cutting-edge technologies. Education Python is widely used in education for teaching programming and computer science concepts due to its simplicity and readability.

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AWS Machine Learning Blog

JANUARY 20, 2023

A trusted leader in AI, Internet of Things (IoT), customer experience, and network and workflow management, CCC delivers innovations that keep people’s lives moving forward when it matters most. Christopher earned his Bachelor of Science in Computer Science from Northeastern Illinois University.

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Pickl AI

NOVEMBER 5, 2023

Internet of Things (IoT) Integration The Internet of Things (IoT) is all about connectivity. The impact of AI in automating routine tasks and improving decision-making processes is undeniable. It’s not just about chatbots and virtual assistants anymore; AI is becoming the backbone of modern technology.

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Dataconomy

APRIL 20, 2023

Edge computing: Edge computing is a distributed computing paradigm that involves processing and analyzing data at the “edge” of the network, closer to where it is generated. Biocomputing: Biocomputing is an emerging field that aims to develop computing systems using biological materials like DNA and proteins.

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AWS Machine Learning Blog

MARCH 29, 2023

Mustafa Aldemir (BSc in Electrical-Electronics Engineering, MSc in Mechatronics and PhD-candidate in Computer Science) is the Robotics Prototyping Lead at Amazon Web Services. Since 2016 he mentored hundreds of entrepreneurs at startup incubation programs pro-bono.

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Dataconomy

FEBRUARY 24, 2023

Existing and future technologies like big data, robotics, and the Internet of Things all have this as their major driver. The field of computer science known as “artificial intelligence” (AI) focuses on creating intelligent machines that can accomplish jobs that would normally need human intelligence.

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AWS Machine Learning Blog

JANUARY 13, 2023

FedML supports several out-of-the-box deep learning algorithms for various data types, such as tabular, text, image, graphs, and Internet of Things (IoT) data. in Computer Science from the University of Southern California , Los Angeles, USA. Define the model. Chaoyang He is Co-founder and CTO of FedML, Inc.,

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Flipboard

DECEMBER 25, 2023

In the rapidly evolving landscape of artificial intelligence (AI) and edge computing, model quantization emerges as a pivotal technique bridging the …

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Pickl AI

AUGUST 1, 2024

Integration with Edge Computing The rise of Internet of Things (IoT) devices has created a demand for real-time processing and decision-making at the edge of networks. Integrating Deep Learning with edge computing allows for the deployment of models directly on devices, reducing latency and bandwidth usage.

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