In July, the California Department of Fair Employment and Housing sued video-game giant Activision Blizzard, alleging, more or less, that the company has a workplace environment from hell. Regulators said a two-year investigation into the company revealed an alcohol-drenched "frat boy" culture that included inappropriate conduct by executives, men openly joking about rape, and a general "breeding ground for harassment and discrimination against women." The company called the lawsuit "truly meritless and irresponsible" (though it seemed to have some trouble figuring out how to respond), and more than 2,000 current and former employees responded by putting their names on an open letter that said, "We no longer trust that our leaders will place employee safety above their own interests." In early August, employees shared their salaries en masse, Bloomberg reported, to pressure the company into confronting pay inequities. One executive, Blizzard head J. Allen Brack, resigned.

This is a rush transcript of "Fox News Sunday" on August 27, 2021. This copy may not be in its final form and may be updated. A drone strike takes out two high profile ISIS-K targets, as U.S. troops continue their evacuation mission with just 48 hours to go in Afghanistan. JOHN KIRBY, PENTAGON PRESS SECRETARY: They lost a planner and they lost a facilitator and that got one wounded. WALLACE (voice-over): But warnings the threat is far from over. JEN PSAKI, WHITE HOUSE PRESS SECRETARY: Our troops are still in danger, that continues to be the case every day that they are there. WALLACE: With the clock ticking down, what does it mean for the security of our troops and civilians looking to get out of harm's way? We'll ask White House national security advisor Jake Sullivan about the situation on the ground and the danger in the final days of the mission. MITCH MCCONNELL (R-KY), MINORITY LEADER: The Taliban should not be allowed to tell us how long we are there to get our personnel out. WALLACE: We'll get reaction from Senate Republican leader Mitch McConnell, who's calling on the president to extend the evacuation beyond Tuesday. We'll ask our Sunday panel about the latest test for the nation's schools. We begin with breaking news on two stories. But first, the next two days could be the most tense and dangerous for U.S. They are trying to evacuate some of the thousands of Americans and Afghan civilians while at the same time rolling up their own operation. Meanwhile, President Biden making good on his promise to retaliate for the deadly suicide bombing in Kabul, ordering a drone strike that killed two ISIS-K planners and wounded another -- as his advisors warn another attack the airport is likely before the U.S. completes its exit. In a moment, we'll discuss all this with the president's national security advisor, Jake Sullivan. We begin with FOX team coverage. David Spunt is at the White House, but first, Trey Yingst in Doha, Qatar, with the latest on the ongoing withdrawal -- Trey.

The love between a human and a robot is no longer just the plot of a science fiction movie or'Black Mirror' . Futuristic predictions caught up with us and the proof of this is that cases have been reported of users ending up in psychological therapy for falling in love with the robot XiaoIce, the most popular virtual assistant with Artificial Intelligence (AI) in China. XiaoIce is an advanced AI system, designed as a chatbot to create emotional bonds with its users, and is found on most Chinese smartphones and social platforms. Today, XiaoIce has 150 million users in China alone, and 660 million worldwide. According to Li Di, founder and CEO of the firm, it currently attends about 60% of global interactions between humans and AI, placing it among the top virtual assistants in the market, according to statements to AFP.

Coronavirus Diaries is a series of dispatches exploring how the coronavirus is affecting people's lives. This as-told-to essay is based on a conversation with An Luu, a 21-year-old senior at Rice University in Houston, who got a false positive due to a COVID-19 test glitch earlier this month. Luu was one of many Rice students whose positive (later discovered to be false positive) test results caused the university to move classes online. Ninety-five percent of the student population of Rice is vaccinated, including Luu. Slate reached out to Rice University's Crisis Management Team for comment on Luu's experience.

AI and Machine Learning systems have proven a boon to scientific research in a variety of academic fields in recent years. They've assisted scientists in identifying genomic markers ripe for cutting-edge treatments, accelerating the discovery of potent new drugs and therapeutics, and even publishing their own research. Throughout this period, however, AI/ML systems have often been relegated to simply processing large data sets and performing brute force computations, not leading the research themselves. But Dr. Hiroaki Kitano, CEO of Sony Computer Science Laboratories, has plans for a "hybrid form of science that shall bring systems biology and other sciences into the next stage," by creating an AI that's just as capable as today's top scientific minds. To do so, Kitano seeks to launch the Nobel Turing Challenge and develop a AI smart enough to win itself a Nobel Prize by 2050.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Rahul Singhal, who led IBM Watson products and now serves as chief product officer at Innodata, has a few strong beliefs about AI. One is that Google CEO Sundar Pichai is right: AI will have more impact on society than electricity. The other is a saying you've probably heard before: "garbage in, garbage out." Managing an AI pipeline is all about the data, he believes.

Maths PhD student, Alex Terenin, recently presented his group's work at the 2021 International Conference of Artificial Intelligence and Statistics. AISTATS is a prestigious event that brings together researchers from the machine learning and statistics communities. One of the group's papers, Matérn Gaussian Processes on Graphs, won the Best Student Paper award at the event – congratulations! We caught up with Alex to find out more about his experience at the conference and as a PhD student at Imperial, why he's fascinated with research into uncertainty, and to get his thoughts on why the visual aspect of machine learning is vital. My research focuses on artificial intelligence, particularly on learning-based decision-making systems.

In this new release of our series showcasing the plenary and keynote talks from the IEEE/RSJ IROS2020 (International Conference on Intelligent Robots and Systems) you'll meet Steve LaValle (University of Oulu) talking about the area of perception, action and control, and Sarah Bergbreiter (Carnegie Mellon University) talking about bio-inspired microrobotics. Bio: Steve LaValle is Professor of Computer Science and Engineering, in Particular Robotics and Virtual Reality, at the University of Oulu. From 2001 to 2018, he was a professor in the Department of Computer Science at the University of Illinois. He has also held positions at Stanford University and Iowa State University. His research interests include robotics, virtual and augmented reality, sensing, planning algorithms, computational geometry, and control theory.

How representative is a SPARQL benchmark?

For more than 30 years, Geoffrey Hinton hovered at the edges of artificial intelligence research, an outsider clinging to a simple proposition: that computers could think like humans do--using intuition rather than rules. The idea had taken root in Hinton as a teenager when a friend described how a hologram works: innumerable beams of light bouncing off an object are recorded, and then those many representations are scattered over a huge database. Hinton, who comes from a somewhat eccentric, generations-deep family of overachieving scientists, immediately understood that the human brain worked like that, too--information in our brains is spread across a vast network of cells, linked by an endless map of neurons, firing and connecting and transmitting along a billion paths. He wondered: could a computer behave the same way? The answer, according to the academic mainstream, was a deafening no. Computers learned best by rules and logic, they said. And besides, Hinton's notion, called neural networks--which later became the groundwork for "deep learning" or "machine learning"--had already been disproven. In the late '50s, a Cornell scientist named Frank Rosenblatt had proposed the world's first neural network machine. It was called the Perceptron, and it had a simple objective--to recognize images. The goal was to show it a picture of an apple, and it would, at least in theory, spit out "apple." The Perceptron ran on an IBM mainframe, and it was ugly.