Search results
Results from the WOW.Com Content Network
Rachel Hope Mitchell (born 1967) [1] is an American attorney serving as the County Attorney for Maricopa County, Arizona since April 2022. She was appointed to the position following the resignation of Allister Adel and won the 2022 special election . [ 2 ]
Outline is a 2014 novel by British author Rachel Cusk, [1] the first installment in her critically acclaimed The Outline trilogy, [2] followed by Transit (2016) and Kudos (2018).
Kirkus Reviews praised the book, calling it a "densely argued exercise in connecting dots." [5]Publishers Weekly gave the book a mixed review, writing, "the resulting hodgepodge doesn't always support her portrayal of oil and gas as a 'singularly destructive industry' that 'effectively owns' governments; her absorbing account of Putin's skullduggery is really about a vampiric government ...
Strangers to Ourselves: Unsettled Minds and the Stories That Make Us is a 2022 non-fiction book by Rachel Aviv [1] that focuses on mental illness, diagnosis, and people in extreme mental distress. It was listed among the New York Times’ " The 10 Best Books of 2022 ".
Rachel Hawkins (born November 23, 1979) is the author of Hex Hall, a best-selling trilogy of young adult paranormal romance novels. She is from Dothan, Alabama. She is from Dothan, Alabama. [ 1 ] [ 2 ] She also writes as Erin Sterling.
Commenting on the film, director Harron said: "This is a chillingly atmospheric horror story with real emotional depth. I’ve tried to stay true to Rachel Klein’s novel in the way it re-works and updates the Gothic tradition and the whole notion of girl-on-girl vampires." [2]
Writing for The Washington Post, Bethanne Patrick describes how "Rachel Yoder’s debut novel, 'Nightbitch,' may feel as if the author stuck her hand into your brain and rummaged around. Yoder has a powerful understanding of the alienation that can set in for stay-at-home mothers and others."
Mitchell addresses 13 pages to "Trustworthy and Ethical AI". [ 1 ] [ 6 ] Mitchell states artificial intelligence is vulnerable to errors, to racial bias, and to malicious hacking such as surprisingly easy adversarial attacks : "If there are statistical associations in the training data... the machine will happily learn those instead of what you ...