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Manufacturer's Monthly
APRIL 13, 2025
Key hardware features that are essential for successful industrial deployment include: Industrial-Grade Design: The fanless, rugged design is ideal for environments with dust or particulate matter, such as factories or construction sites.
E&T
OCTOBER 11, 2023
In order to make the new requirements possible, the legislation also mandates that all data brokers register with the California Privacy Protection Agency (CPPA), which would create a single form for residents to request that their data is deleted.
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E&T
JULY 7, 2023
In order to avoid it, peers have suggested adding a regulatory exemption to the legislation that would cover sites which are considered low risk for harm and provide a public good. The Online Safety Bill has been presented by the government as a ground-breaking law that will protect the privacy and safety of children online.
E&T
JULY 4, 2023
A look into Threads / Meta Image credit: Meta (via Apple Store) The launch of Threads has been made public shortly after Twitter was criticised for introducing a temporary cap on the number of tweets users can read on the social media site. However, thanks to the power of Instagram, Threads could be Twitter's most threatening opponent.
E&T
JUNE 7, 2023
The Cabinet Office said it would publish a timeline for the removal of surveillance equipment produced by companies subject to China’s National Intelligence Law from sensitive central government sites. This will lead to a precautionary approach being taken towards suppliers which may pose a risk to sensitive areas of government such as GCHQ.
Additive Manufacturing
SEPTEMBER 7, 2022
And now, the company has launched an upgraded version of its B9Captivate material development software with Dark Site capabilities. The post B9Creations Launches Dark-Site-Capable Material Development Software appeared first on Additive Manufacturing (AM).
Automation Mag
OCTOBER 21, 2024
Data privacy To understand Federated Learning (FL, also called joint or separated learning) let’s do a quick review of machine learning in the robotic picking context. But if different robots doing unique picking tasks at different companies can pool what they learn, improvement will be much faster and at all sites.
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