The Department of Justice recently sued Google for allegedly monopolizing the market for search engines. The Department's complaint alleges that Google took numerous actions well before 2010 that formed part of the claimed antitrust violations. I have no comment about the merits. What I do want to call attention to, however, are the dates: a lawsuit beginning in 2020 to try to correct the market consequences of actions that began more than 10 years ago. The revolution that some scholars call "regulating by robot" is already underway.

It was August last year and I was in the process of giving interviews. By that point in time, I was already interviewing for Google India and Amazon India for Machine Learning and Data Science roles respectively. And then my senior advised me to apply for a role in Facebook London. Contacted a recruiter on LinkedIn, who introduced me to another one and my process started after a few days for the role of Machine Learning Engineer. Now Facebook has a pretty different process when it comes to hiring Machine learning engineers. They do coding rounds, system design, and machine learning design interviews to select future employees.

OneZero is partnering with the Big Technology Podcast from Alex Kantrowitz to bring readers exclusive access to interview transcripts with notable figures in and around the tech industry. This week, Kantrowitz sits down with Meredith Whittaker, an A.I. researcher who helped lead Google's employee walkout in 2018. This interview, which took place at World Summit A.I, has been edited for length and clarity. To subscribe to the podcast and hear the interview for yourself, you can check it out on Apple Podcasts, Spotify, and Overcast. When I interviewed Tristan Harris about The Social Dilemma earlier this month, my mentions filled with people saying, "You should speak to the people who were critical of the social web long before the film." One name stood out: Meredith Whittaker. An A.I. researcher and former Big Tech employee, Whittaker helped lead Google's walkout in 2018 amid a season of activism inside the company. On this edition of the Big Technology Podcast, we spoke not only about her views on the film, but also of the future of workplace activism inside tech companies in a moment where some are questioning if it belongs at all. Alex Kantrowitz: It seems like your perspective on The Social Dilemma is a little bit different from Tristan's.

The continuous growth of scientific literature brings innovations and, at the same time, raises new challenges. One of them is related to the fact that its analysis has become difficult due to the high volume of published papers for which manual effort for annotations and management is required. Novel technological infrastructures are needed to help researchers, research policy makers, and companies to time-efficiently browse, analyse, and forecast scientific research. Knowledge graphs i.e., large networks of entities and relationships, have proved to be effective solution in this space. Scientific knowledge graphs focus on the scholarly domain and typically contain metadata describing research publications such as authors, venues, organizations, research topics, and citations. However, the current generation of knowledge graphs lacks of an explicit representation of the knowledge presented in the research papers. As such, in this paper, we present a new architecture that takes advantage of Natural Language Processing and Machine Learning methods for extracting entities and relationships from research publications and integrates them in a large-scale knowledge graph. Within this research work, we i) tackle the challenge of knowledge extraction by employing several state-of-the-art Natural Language Processing and Text Mining tools, ii) describe an approach for integrating entities and relationships generated by these tools, iii) show the advantage of such an hybrid system over alternative approaches, and vi) as a chosen use case, we generated a scientific knowledge graph including 109,105 triples, extracted from 26,827 abstracts of papers within the Semantic Web domain. As our approach is general and can be applied to any domain, we expect that it can facilitate the management, analysis, dissemination, and processing of scientific knowledge.

Intel's new Tiger Lake processors for ultra-thin laptops are packed with new silicon building blocks for AI, graphics and other technologies to serve a "spectrum of needs" in the mobile computing space, according to top Intel engineer Boyd Phelps. In an interview with CRN, Phelps said the Santa Clara, Calif.-based company has taken a holistic and balanced approach to the engineering and design of the new processors, which are the first CPUs in the 11th-generation Intel Core family. This means that the company has devised ways, for instance, to offload certain AI workloads, like blurring the background in a Zoom video call, to new accelerators within the chip to make the workloads run faster while also saving on power. "For us, we thought about it in the context of how the different workloads have evolved and emerged. They all have kind of a different sweet spot, so for us, we geared Tiger Lake to meet that spectrum of needs," said Phelps, who is vice president of the Client Engineering Group and general manager of Client and Core Development Group at Intel.

This year's Nobel prize in physics has been awarded to Sir Roger Penrose (1/2), Reinhard Genzel (1/4), and Andrea Ghez (1/4) for their research on Blackhole. Even last year it was in astronomy and cosmology. These are exciting times for astronomy since the last one before that was in 2006. There is a common trait in astronomy and AI. The work started sometime in the 20th century and was not proved then due to the limitation of the technology. And now when the technologies are developed, we are able to provide pieces of evidence.

Clint Hocking marked his return to Ubisoft in 2015 with a big idea. His new project "Watch Dogs: Legion" was ambitious, and its concept was born from a single question: What if you could play as anyone? It had never been done before. In open-world games, players normally control a single protagonist, or a couple of carefully crafted main characters. But Hocking envisioned a Watch Dogs game where players could explore a metropolitan city and, with the press of a button, switch perspectives to inhabit the body of a spy, construction worker or an average Joe walking to their office job. Every passerby is their own person, primed with a web of relationships, an occupation and a personality.

"Look with thine ears," Lear tells poor blind Gloucester, and that is exactly what the rest of us should do now we know that the majority of New York theatres will not open their doors until, at the most optimistic guesstimate, the middle of next year. Zoom fatigue set in months ago, but audio is stepping into the breach to take us places that glazed screen-gazing can't. The eyes tend toward the literal, while what we only hear can bloom, the way a novel does, in the privacy of the mind, as is the case with two new productions--one radical, one retro--that use audio to light a path forward for performance in the COVID era and beyond. "A Thousand Ways" (produced by the Brooklyn-based ArKtype) was created by the duo Abigail Browde and Michael Silverstone, who go by the moniker 600 Highwaymen and are known for devising inventive, sincere theatre of a kind that makes urbane audiences fatted on cynicism feel wonder afresh. In "This Great Country," from 2012, seventeen performers, some experienced, some green, acted out scenes from "Death of a Salesman," transforming that classic into something rich and strange; "Employee of the Year," staged in 2014, had five girls under the age of eleven tell the story of one woman's adulthood.

On a bright Tuesday afternoon in Paris last fall, Alex Karp was doing tai chi in the Luxembourg Gardens. He wore blue Nike sweatpants, a blue polo shirt, orange socks, charcoal-gray sneakers and white-framed sunglasses with red accents that inevitably drew attention to his most distinctive feature, a tangle of salt-and-pepper hair rising skyward from his head. Under a canopy of chestnut trees, Karp executed a series of elegant tai chi and qigong moves, shifting the pebbles and dirt gently under his feet as he twisted and turned. A group of teenagers watched in amusement. After 10 minutes or so, Karp walked to a nearby bench, where one of his bodyguards had placed a cooler and what looked like an instrument case. The cooler held several bottles of the nonalcoholic German beer that Karp drinks (he would crack one open on the way out of the park). The case contained a wooden sword, which he needed for the next part of his routine. "I brought a real sword the last time I was here, but the police stopped me," he said matter of factly as he began slashing the air with the sword. Those gendarmes evidently didn't know that Karp, far from being a public menace, was the chief executive of an American company whose software has been deployed on behalf of public safety in France. The company, Palantir Technologies, is named after the seeing stones in J.R.R. Tolkien's "The Lord of the Rings." Its two primary software programs, Gotham and Foundry, gather and process vast quantities of data in order to identify connections, patterns and trends that might elude human analysts. The stated goal of all this "data integration" is to help organizations make better decisions, and many of Palantir's customers consider its technology to be transformative. Karp claims a loftier ambition, however. "We built our company to support the West," he says. To that end, Palantir says it does not do business in countries that it considers adversarial to the U.S. and its allies, namely China and Russia. In the company's early days, Palantir employees, invoking Tolkien, described their mission as "saving the shire." The brainchild of Karp's friend and law-school classmate Peter Thiel, Palantir was founded in 2003. It was seeded in part by In-Q-Tel, the C.I.A.'s venture-capital arm, and the C.I.A. remains a client. Palantir's technology is rumored to have been used to track down Osama bin Laden -- a claim that has never been verified but one that has conferred an enduring mystique on the company. These days, Palantir is used for counterterrorism by a number of Western governments.

Theoretical computer science is everywhere, for TCS is concerned with the foundations of computing and computing is everywhere! In the last three decades, a vibrant Latin American TCS community has emerged: here, we describe and celebrate some of its many noteworthy achievements. Computer science became a distinct academic discipline in the 1950s and early 1960s. The first CS department in the U.S. was formed in 1962, and by the 1970s virtually every university in the U.S. had one. In contrast, by the late 1970s, just a handful of Latin American universities were actively conducting research in the area. Several CS departments were eventually established during the late 1980s. Often, theoreticians played a decisive role in the foundation of these departments. One key catalyst in articulating collaborations among the few but growing number of enthusiastic theoreticians who were active in the international academic arena was the foundation of regional conferences.