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OneSizeFitsAll

deepfakes regulation: ‘One-size-fits-all’ approach not fit for deepfakes: BSA to MeitY

: There should not be a one-size-fits-all approach to government’s upcoming regulation on deepfakes, a software industry group which counts enterprise firms like Microsoft as its clients said in its representation to the ministry of electronics and information technology (MeitY). Washington DC-headquartered software industry group BSA The Software Alliance said that business-to-business and enterprise software services may not pose the same risk to user safety and public order and that the government should consider…

When it comes to science skepticism, there’s no one-size-fits-all

Vaccine segment distributions within the Concerned climate segment for politically conservative, moderate, and liberal across each age group. Credit: Scientific Reports (2023). DOI: 10.1038/s41598-022-26959-5 The idea that science can be wrong—science denialism—isn't new. As this New York Academy of Sciences infographic shows, it goes way back—Brazilian riots against vaccines in 1904; the link between cancer and coal ignored…

Cardano (ADA) Founder Slams SEC’s “One-Size-Fits-All” Staking Regulation, Ripple Lawyer Shares Plans if Ripple (XRP) Triumphs in XRP-SEC…

More and more people are looking to invest in cryptocurrencies as their value has increased over the past several years. It might be difficult to decide which cryptocurrency to put your money into, however, given the wide variety now available. Cardano (ADA) and Ripple (XRP) are two of the most well-known digital currencies in the market. In contrast to these two tokens, TMS Network (TMSN) is gaining support for a number of reasons. This article will cover the latest developments of Cardano (ADA), Ripple (XRP), and TMS…

The Overpromise of End-to-End ML Platforms: Why One-Size-Fits-All Solutions Don’t Always Work | by Christian Freischlag | Dec, 2022

OpinionThe Importance of Customization and Flexibility in Machine Learning InfrastructureDALL·E - A illustration of a vendor lock in costing a company too much moneyIn the recent year, my inbox was flooded by MLOps companies trying to sell their one-size-fits-all infrastructure. But not only there, in comparison to pre-covid years, exhibitors at conferences were also dominated by ML(Ops) platforms. You can also find a lot of spam under every related article here on medium, and even a paid workshop was simply a sales demo…