Businesses can consider PSMs as a factor in modeling advanced analytics, such as forecast modeling. But the behavioral d

Would a launch of a pumpkin spice cereal create extra demand for milk? A market basket analysis would help a grocer determine if it should plan a promotion with milk and cereal

Apple said that the first MacBook with an Apple Silicon chip will arrive by the end of 2020. It seems like this new Mac will be either the 12-inch MacBook or a new 13-inch MacBook Pro, or even a MacBook air.

Gebru told OneZero she was let go via email by Megan Kacholia, a vice president of engineering at Google Research, who in turn reports to the company’s famous A.I. lead, Jeff Dean. Gebru said the move stemmed from an email Gebru had sent to a pair of internal Google employee groups, which upset Google executives. She said she could not immediately provide the contents of that email because she had been cut off from her corporate accounts.

Overall, you just can’t be prepared for a seasonal event without the right strategy. Identifying the pumpkin spice metrics in your business is the right strategy of creating sweet campaign ideas from seasonal customer interest.

One advanced technique that can be used is a basket analysis. This analysis identifies the likelihood that one or more items are purchased alongside another item. A toothbrush alongside a toothpaste or mouthwash may make sense, but there could be other products that trigger the sales. The result from an analysis are suggestions for how products are mentioned on website pages, app pages, or in value coupons. Even having them appear alongside in a video would be helpful.

Gebru’s exit comes a year after another prominent A.I. ethicist, Meredith Whittaker, publicly resigned from Google, saying she and others had faced internal retaliation for helping to organize employee walkouts. Whittaker’s recent interview with Alex Kantrowitz about political power in tech is worth reading.

At WWDC Apple revealed a Mac mini as the first such Mac to have an Apple Silicon chip inside, and this was an Apple A12Z, the same chip as inside the iPad Pro 2020 — but this Mac mini is only for developers.

Timnit Gebru, a pioneering researcher on algorithmic bias, said Wednesday night that she had been abruptly let go by Google, where she was technical co-lead of the company’s Ethical Artificial Intelligence Team, after she had privately threatened to resign.

Overall, you just can’t be prepared for a seasonal event without the right strategy. Identifying the pumpkin spice metrics in your business is the right strategy of creating sweet campaign ideas from seasonal customer interest.

According to Gebru, the email led to an exchange with managers in which Gebru apparently laid out conditions under which she’d continue working for the company. Otherwise, Gebru told them, she would work with her direct superior to find an appropriate end date to her employment there. Gebru posted on Twitter what she said was the text of Kacholia’s response, which said Google could not meet those conditions and as a result would be accepting Gebru’s resignation—but that it would be effective immediately, rather than at a future date.

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the year, month, and date. After that, you will get the time with GMT-7 for the Los Angeles location. It is beneficial for you to work with a specified date and time, for example, astronomers. Astronomers need this parameter to track the ‘wanderer’ celestial bodies like planets in Solar System, asteroids, comets, etc.

Gebru’s tweets prompted an outpouring of public support on Twitter late Wednesday and early Thursday from fellow A.I. researchers, Black tech leaders, and even some Google employees.

Just this week, the National Labor Relations Board filed a complaint alleging that Google illegally surveilled and fired employees for participating in organizing efforts last year, as my OneZero colleague Sarah Emerson reported.

Gebru is known for her co-authorship with Joy Buolamwini of an influential 2018 paper on bias in facial recognition software, among other work. The study found that three leading facial recognition systems were far more likely to misidentify women and people of color than white men. The findings helped to fuel a backlash against facial recognition that has led some major companies and jurisdictions to stop developing or using the technology. OneZero’s Dave Gershgorn wrote in June about the study’s profound impact.

Gebru’s tweets prompted an outpouring of public support on Twitter late Wednesday and early Thursday from fellow A.I. researchers, Black tech leaders, and even some Google employees.