Efficiency Innovation IoT Network 
DZone
FEBRUARY 8, 2023
Go is expressive, clean, and efficient. Its concurrency mechanism makes it easy to write programs that maximize the use of multicore and network machines, and its innovative type system enables flexible and modular program construction.
Apica
OCTOBER 18, 2019
The two buzz words this year have been the “Connected Car” and “IoT Device.” ” The automotive industry has taken the lead in ensuring both are integrated into their innovations and even the services they offer. Why is this different from monitoring IoT devices today?
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Dynatrace
APRIL 5, 2021
The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? The Amazon Web Services ecosystem.
Testsigma
FEBRUARY 12, 2021
From AI to ML, the shifting technology world is constantly innovating and making significant progress. IoT Test Automation. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. Many changes are rendered through automated testing.
Enprowess
JANUARY 12, 2022
Internet of Things (IoT). Internet of Things (IoT). IoT can be defined as a technology of interconnected devices where human involvement is not required for data transfer. IoT is one of the most vibrant tech trends among current trends in web application development. How does IoT work? IoT tracking systems.
Dynatrace
JUNE 1, 2021
However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Increased time spent on innovation. What does APM stand for? Better user experiences.
ACM Sigarch
DECEMBER 6, 2018
One such example is activity recognition in motion video (such as LRCN , Convnets ) which may entail running combinations of both convolutional as well as recurrent neural networks simultaneously. Last but not least, the ability to auto-generate optimal neural networks (e.g. Generative and Interactive Visual Workloads.
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