When we talk about the risks of using AI, we usually think of scenes from movies like A Space Odyssey or The Terminator, where robots turn against humans. While the consequences are significant, they're far less dramatic than the dystopian future often portrayed in movies. The risks are much more nuanced and subtle, and many people fail to recognize them until it is too late. Recently, AI-assisted writing has been hailed as a way to create content faster, but hardly anyone talks about the risks involved. When companies like Open AI commercialized AI text generation, it also intensified the risk landscape.

This week'In the NVIDIA Studio' creators can now pick up the GeForce RTX 4090 GPU, available from… Read article Julien Salinas wears many hats. South Korea's most popular AI voice assistant, GiGA Genie, has conversed with 8 million people. The age of electric vehicles has arrived and, with it, an entirely new standard for premium SUVs.

Welcome to The Digital Eye, your weekly roundup of the latest technology news. Our team of experts have scoured the internet for the most interesting and informative articles, so you can stay up-to-date on all things digital, data, blockchain, AI & analytics. We hope you find this information valuable and would appreciate your help in sharing it with others who may also be interested. Stay tuned for next week's edition! "As technology costs reduce, more people will start adopting technology to improve their business."

Welcome to your new weekly Briefing from The Digital Eye. This has been compiled for busy professionals who have limited time but want to stay up to date with the latest digital news. We hope you have found these articles informative. Would you please share with others who might also be interested? "Virtually every function that enters the digital ecosphere will be empowered by AI before long."

Welcome to your new weekly Briefing from The Digital Eye. This has been compiled for busy professionals who have limited time but want to stay up to date with the latest digital news. VIDEO - What is NLP? We hope you have found these articles informative. Would you please share with others who might also be interested?

Welcome to your new weekly Briefing from The Digital Eye. This has been compiled for busy professionals who have limited time but want to stay up to date with the latest digital news. VIDEO: What can we do to improve work performance? We hope you have found these articles informative. Would you please share with others who might also be interested?

Welcome to your new weekly Briefing from The Digital Eye. This has been compiled for busy professionals who have limited time but want to stay up to date with the latest digital news. We hope you have found these articles informative. Would you please share with others who might also be interested? TuSimple aims to test self-driving trucks on public roads without human safety operator by end of the year.

In recent years, many new clinical diagnostic tools have been developed using complicated machine learning methods. Irrespective of how a diagnostic tool is derived, it must be evaluated using a 3-step process of deriving, validating, and establishing the clinical effectiveness of the tool. Machine learning–based tools should also be assessed for the type of machine learning model used and its appropriateness for the input data type and data set size. Machine learning models also generally have additional prespecified settings called hyperparameters, which must be tuned on a data set independent of the validation set. On the validation set, the outcome against which the model is evaluated is termed the reference standard.

Data Science in Python: Pandas Cheat Sheet -- This cheat sheet, along with explanations, was first published on DataCamp. Click on the picture to zoom in. To view other cheat sheets (Python, R, Machine Learning, Probability, Visualizations, Deel Learning, Data Science, and so on) click here. To read the article, click here. Will Trump Kill Statistician's Jobs? -- Today Trump met with leaders of pharmaceutical companies, to discuss "astronomical" drug prices and reduce regulations, so that drug companies can still make hefty profits while charging less for drugs.