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Google could use AI to extend search monopoly, DOJ says as trial begins

The Japan Times

Alphabet's Google needs strong measures imposed on it to prevent it from using its artificial intelligence products to extend its dominance in online search, a U.S. Department of Justice attorney said as a trial in the historic antitrust case began on Monday. The outcome of the case could fundamentally reshape the internet by unseating Google as the go-to portal for information online. The Justice Department is seeking an order that would require Google to sell its Chrome browser and take other measures to end what a judge found was its monopoly in online search. Prosecutors have compared the lawsuit to past cases that resulted in the breakup of AT&T and Standard Oil.


Trial begins for political consultant accused of sending AI-generated robocalls mimicking Biden

FOX News

New deep fakes are all over the internet -- and you won't believe the new ones Raymond Arroyo has located. The trial has begun of a Democratic political consultant who has admitted to sending artificial intelligence (AI) generated robocalls mimicking President Biden ahead of the 2024 New Hampshire primary. Steve Kramer faces a 6 million fine and more than two dozen criminal charges after he hired a magician to create a deepfake of President Biden urging New Hampshire voters not to participate in the primary. The fines, proposed by the Federal Communications Commission (FCC), are the first involving AI technology. Former president Joe Biden speaks on the phone during a National Small Business Week event in the Rose Garden of the White House in Washington, DC, on May 1, 2023, left.


Trial begins of AI scan that could reduce risk of stillbirth and other conditions

#artificialintelligence

Although the placenta can be visualised using ultrasound, measuring it, and all the tiny blood vessels supplying it, is extremely time consuming, making this impractical for routine early pregnancy screening. So the University of Oxford has used machine learning to develop a tool, trained on thousands of ultrasound images where the placenta has been painstakingly marked out by hand, to automate the recognition process.


Trials begin of machine learning system to help hospitals plan and manage COVID-19 treatment resources developed by NHS Digital and University of Cambridge - NHS Digital

#artificialintelligence

Trials have begun of a system that will use machine learning to help predict the upcoming demand for intensive care (ICU) beds and ventilators needed to treat patients with COVID-19 at individual hospitals and across regions in England. The COVID 19 Capacity Planning and Analysis System (CPAS), developed by NHS Digital data scientists and a team of researchers from the University of Cambridge, and using data from Public Health England, will support hospitals to plan more accurately and help ensure that resources are deployed to best effect to support COVID-19 throughout the NHS. The first stage alpha trials began this week at four hospitals, aiming to demonstrate the relative accuracy of the system and fine tune it to best meet the needs of hospitals. "With the pressure being placed on intensive care by the current coronavirus pandemic it is essential to be able to predict demand for critical care beds, equipment and staff,"says NHS Digital Chief Medical Officer Professor Jonathan Benger. "CPAS allows individual hospitals to plan ahead, ensuring they can give the best care to every patient. At the same time, the wider NHS can ensure that the ventilators, other equipment and drugs that each intensive care unit will need are in place at exactly the time they are required. In the longer term, it is hoped that CPAS can be used to predict hospital length of hospital stay, discharge planning and wider intensive care demand in the time that will come after the pandemic."