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Video games becoming a new frontier in digital rights

The Japan Times

New York – Critical digital rights battles over privacy, free speech and anonymity are increasingly being fought in video games, a growing market that is becoming a "new political arena," experts and insiders said on Thursday. With the industry set to more than double annual revenues to $300 billion by 2025, questions about how video game operators, designers and governments handle sensitive issues take on added urgency, said participants at RightsCon, a virtual digital rights conference. In recent months, a Hong Kong activist staged a protest against Beijing's rule inside a popular social simulator game called Animal Crossing, and a member of the U.S. Congress, Alexandria Ocasio-Cortez, campaigned in the game as well. The game Minecraft, meanwhile, has been used to circumvent censorship, with groups using it to create digital libraries and smuggle banned texts into repressive countries. "Video games have become this new political arena," said Micaela Mantegna, founder of GeekyLegal, an Argentinian group that focuses on tech policy.


OpenAI's latest breakthrough is astonishingly powerful, but still fighting its flaws

#artificialintelligence

The most exciting new arrival in the world of AI looks, on the surface, disarmingly simple. It's not some subtle game-playing program that can outthink humanity's finest or a mechanically advanced robot that backflips like an Olympian. You start typing and it predicts what comes next. But while this sounds simple, it's an invention that could end up defining the decade to come. The program itself is called GPT-3 and it's the work of San Francisco-based AI lab OpenAI, an outfit that was founded with the ambitious (some say delusional) goal of steering the development of artificial general intelligence or AGI: computer programs that possess all the depth, variety, and flexibility of the human mind. For some observers, GPT-3 -- while very definitely not AGI -- could well be the first step toward creating this sort of intelligence.


A Robust Experimental Evaluation of Automated Multi-Label Classification Methods

arXiv.org Artificial Intelligence

Automated Machine Learning (AutoML) has emerged to deal with the selection and configuration of algorithms for a given learning task. With the progression of AutoML, several effective methods were introduced, especially for traditional classification and regression problems. Apart from the AutoML success, several issues remain open. One issue, in particular, is the lack of ability of AutoML methods to deal with different types of data. Based on this scenario, this paper approaches AutoML for multi-label classification (MLC) problems. In MLC, each example can be simultaneously associated to several class labels, unlike the standard classification task, where an example is associated to just one class label. In this work, we provide a general comparison of five automated multi-label classification methods -- two evolutionary methods, one Bayesian optimization method, one random search and one greedy search -- on 14 datasets and three designed search spaces. Overall, we observe that the most prominent method is the one based on a canonical grammar-based genetic programming (GGP) search method, namely Auto-MEKA$_{GGP}$. Auto-MEKA$_{GGP}$ presented the best average results in our comparison and was statistically better than all the other methods in different search spaces and evaluated measures, except when compared to the greedy search method.


Predictability and Fairness in Social Sensing

arXiv.org Artificial Intelligence

In many applications, one may benefit from the collaborative collection of data for sensing a physical phenomenon, which is known as social sensing. We show how to make social sensing (1) predictable, in the sense of guaranteeing that the number of queries per participant will be independent of the initial state, in expectation, even when the population of participants varies over time, and (2) fair, in the sense of guaranteeing that the number of queries per participant will be equalised among the participants, in expectation, even when the population of participants varies over time. In a use case, we consider a large, high-density network of participating parked vehicles. When awoken by an administrative centre, this network proceeds to search for moving, missing entities of interest using RFID-based techniques. We regulate the number and geographical distribution of the parked vehicles that are "Switched On" and thus actively searching for the moving entity of interest. In doing so, we seek to conserve vehicular energy consumption while, at the same time, maintaining good geographical coverage of the city such that the moving entity of interest is likely to be located within an acceptable time frame. Which vehicle participants are "Switched On" at any point in time is determined periodically through the use of stochastic techniques. This is illustrated on the example of a missing Alzheimer's patient in Melbourne, Australia.


Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology: Using Natural Language Processing and Deep Learning for Decision Aid

arXiv.org Artificial Intelligence

Over time, different models have emerged to help us to solve DM problems. In particular, multi-person multi-criteria decision making (MpMcDM) models consider the evaluations of multiple experts to solve a decision situation analyzing all possible solution alternatives according to several criteria [45]. Computational DM process, as the human DM one, requires of useful, complete and insightful information for making the most adequate decision according to the input information. The input of DM models is usually a set of evaluations from the experts. They wish to express their evaluations in natural language, but raw text is not directly processed by DM models. Accordingly, several approaches are followed for asking and elaborating a computational representation of the evaluations, namely: (1) using a numerical representation of the evaluations [35] and (2) using a predefined set of linguistic terms [13]. These approaches for asking evaluations constrain the evaluative expressiveness of the experts, because they have to adapt their evaluation to the numerical or linguistic evaluation alternatives. We claim that experts in a DM problem have to express their evaluations in natural language, and the DM model has to be able to process and computationally represent them. Natural language processing (NLP) is the artificial intelligence area that combines linguistic and computational language backgrounds for understanding and generating human language [16, 28].


The Tactician (extended version): A Seamless, Interactive Tactic Learner and Prover for Coq

arXiv.org Artificial Intelligence

Tactician helps users make tactical proof decisions while they retain control over the general proof strategy. To this end, Tactician learns from previously written tactic scripts and gives users either suggestions about the next tactic to be executed or altogether takes over the burden of proof synthesis. Tactician's goal is to provide users with a seamless, interactive, and intuitive experience together with robust and adaptive proof automation. In this paper, we give an overview of Tactician from the user's point of view, regarding both day-to-day usage and issues of package dependency management while learning in the large. Finally, we give a peek into Tactician's implementation as a Coq plugin and machine learning platform.


A Survey on Concept Factorization: From Shallow to Deep Representation Learning

arXiv.org Machine Learning

The quality of learned features by representation learning determines the performance of learning algorithms and the related application tasks (such as high-dimensional data clustering). As a relatively new paradigm for representation learning, Concept Factorization (CF) has attracted a great deal of interests in the areas of machine learning and data mining for over a decade. Lots of effective CF based methods have been proposed based on different perspectives and properties, but note that it still remains not easy to grasp the essential connections and figure out the underlying explanatory factors from exiting studies. In this paper, we therefore survey the recent advances on CF methodologies and the potential benchmarks by categorizing and summarizing the current methods. Specifically, we first re-view the root CF method, and then explore the advancement of CF-based representation learning ranging from shallow to deep/multilayer cases. We also introduce the potential application areas of CF-based methods. Finally, we point out some future directions for studying the CF-based representation learning. Overall, this survey provides an insightful overview of both theoretical basis and current developments in the field of CF, which can also help the interested researchers to understand the current trends of CF and find the most appropriate CF techniques to deal with particular applications.


Businesses Tap New Digital Tools to Reopen the Workplace

WSJ.com: WSJD - Technology

Just getting workers to the office can be a challenge, amid ongoing travel restrictions aimed at containing the pandemic, said Gaston Silva Maldonado, project and systems analyst at Chilean food processor giant Agrosuper SA. "Our employees have been prevented from moving from one city to another, or even from one point of the city to another," Mr. Maldonado said, citing local lockdown rules. Based in Rancagua, Agrosuper employs about 3,500 office workers, in addition to thousands more in its production plants. So far, he said, only administrative staff and production plant workers deemed essential have returned to the workplace. With the Chilean government in July announcing a five-week plan to gradually ease travel restrictions within the country, the company is hoping to bring back more in the weeks ahead. To do that, Agrosuper has started using robotic process automation to scan and relay employment data on its more than 12,000 workers to a government website that issues emergency travel passes required at health checkpoints scattered throughout the country.


News at a glance

Science

SCI COMMUN### Conservation A company seeking to build a controversial gold and copper mine in Alaska won a major victory on 24 July when the U.S. Army Corps of Engineers issued an environmental analysis saying the mine wouldn't endanger the world's most productive sockeye salmon fishery. The decision clears the way for the Corps to issue permits needed by promoters of the Pebble Mine, located at the headwaters of two major watersheds that form part of the Bristol Bay salmon runs, just north of the Aleutian Islands. Environmental and Native Alaskan groups and some salmon scientists blasted the new study, saying it understated risks by focusing on the mine's small, initial footprint over 20 years of mining rather than its potential impacts if it expands to become one of the world's largest gold and copper mines, as its promoters hope. Mine backers have said such an expansion would get a closer environmental review later if they pursue it. Scientists have raised concerns that even the smaller mine could have wide impacts, because the resilience of the salmon runs hinges on access to a wide variety of spawning habitats. Environmental groups have vowed to file lawsuits to block the project. 90% —Accuracy of a new artificial intelligence system trained to identify individual weaver birds, which human birders generally cannot tell apart unless they are tagged ( Methods in Ecology and Evolution ). ### Planetary science China's first independent mission to Mars blasted off from the Xichang Satellite Launch Center on 23 July. To arrive in February 2021, Tianwen-1, a “quest for heavenly truth,” comprises an orbiter, lander, and rover. Only the United States and the Soviet Union have successfully landed on Mars. Instruments on the three Tianwen-1 craft will study the planet's magnetic field and atmosphere, map its surface, and characterize its geology. Tianwen-1 is the second in a trio of fresh martian missions: The United Arab Emirates launched its Hope orbiter on 19 July, and NASA planned to launch its Perseverance rover as early as 30 July, after Science went to press. ### Funding A bill in France would increase research spending over the next 10 years and add tenure-track faculty positions, a novelty in France. But critics say the plan's increases would be too small and slow. By 2030, the annual public research budget would rise by about one-third, to €20 billion, toward a goal of lifting overall R&D spending from 2.2% of gross domestic product to 3%. The National Research Agency, which funds researchers through competitive calls, would get €1 billion more over 7 years, reaching about €1.7 billion in 2027, to help raise its grant success rates from 16% to a target of 30%. The new, nonpermanent tenure-track positions would complement the permanent entry-level research positions traditionally offered by the French system, but critics fear the growth may lead to a decline in the permanent ones. Parliament is expected to approve the bill. ### Drug trials A monoclonal antibody given to babies has strongly protected them from severe disease caused by respiratory syncytial virus (RSV), a leading cause of infant death. As reported this week in The New England Journal of Medicine , a placebo-controlled study of nearly 1500 babies born preterm—who are at higher risk of severe symptoms of RSV—in 23 countries found that a single injection of the antibody before RSV season starts in the fall led to 78.4% fewer hospitalizations for lower respiratory infections associated with the disease. The antibody, being developed by AstraZeneca and Sanofi Pasteur, could replace one now on the market that is rarely used. (It is recommended only for infants at highest risk, requires five shots, and is very expensive.) The companies plan to seek regulatory approval of the new prophylaxis if larger studies now underway in preterm and full-term infants confirm that it is safe and effective. ### Graduate studies The American Astronomical Society last week launched the Astronomy Genealogy Project, which maps 5000 astronomers to their academic “descendants”—the 28,000 doctorate recipients they supervised. The discipline's family tree, at astrogen.aas.org, stretches back to 1766, but half of the listed doctorates were awarded since 2002. Organizers hope the data will help historians and sociologists of science analyze patterns across countries, universities, and subfields. U.S. universities awarded slightly more than half of the doctorates listed, and about two-thirds of the theses are online. ### Climate Environmental groups last week denounced as weak a plan announced by the U.S. Environmental Protection Agency (EPA) to limit greenhouse gas emissions from aircraft. The new standard would match an existing one adopted in 2016 by a U.N. body, the International Civil Aviation Organization (ICAO), that required emissions cuts by 2028. But recently manufactured planes already meet the standard, and EPA conceded its new rule would not reduce overall airplane emissions. Manufacturers have supported such a U.S. regulation to help them meet ICAO certification requirements. IACO has predicted that even under its standard, airplane emissions will grow by at least 3% a year globally. U.S. aviation accounts for 3% of the country's greenhouse gas emissions. ### Extreme life Bacteria from seafloor sediments buried 101 million years ago have been grown in the lab, raising the possibility they are as old as their muddy home. They had somehow survived in an area of the Pacific Ocean almost devoid of organic matter or other nutrients most bacteria need, although the sediments recovered do contain oxygen, the researchers report in Nature Communications . The finding pushes back the documented age of bacteria living in marine sediment from 15 million years and provides new insights on the limits of life under extreme conditions. A team led by researchers from the Japan Agency for Marine-Earth Science and Technology harvested the microbes from core samples drilled up to 5700 meters below sea level and took precautions against contaminating them with modern bacteria. The group argues the microbes likely didn't have enough food to keep replicating, and instead may have survived for eons without dividing by repairing age-related cellular damage. The microbes identified are known members of more than eight bacterial groups, many of which are commonly found elsewhere on Earth. ### Biotechnology Scientists announced last week that they used CRISPR gene editing to modify a cow embryo so that the resulting calf, named Cosmo, should produce more offspring bearing male traits. Bulls are 15% more efficient than cows at converting feed into weight gain, so the new method may allow cattle farmers to raise fewer cattle, benefiting the environment, say the researchers at the University of California, Davis. The researchers inserted a gene called SRY , which initiates male development and is normally found on the male sex chromosome, into an embryo's chromosome 17. Next, the researchers plan to determine whether Cosmo's offspring that inherit the SRY gene look and grow like males. Fifty percent of the calf's progeny will naturally be male; another 25% will be genetically female but will carry the SRY gene. ### Conservation Florida's governor this month signed a bill to establish a 162,000-hectare marine sanctuary in the Gulf of Mexico and protect one of the state's last remaining stretches of seagrass. Florida's coast boasts the most continuous expanse of seagrass beds in the United States, but these diverse habitats, home to blue crabs and manatees, have been damaged by nutrient-driven algal blooms and boat propellers. Authorities plan to create a management plan for the new Nature Coast Aquatic Preserve to balance protection with ecotourism, boating, and fishing. ### A magic ride for science In 1984, artist Bruce Degen met writer Joanna Cole at a publisher's office in New York City to discuss creating a children's book about science. They went on to collaborate and publish 13 colorful, zany books in The Magic School Bus series, featuring the ebullient, intrepid teacher Ms. Frizzle (above, right), who takes her students on fantastic adventures into the ocean, across the Solar System, and through the human body, for example. Cole died on 12 July at age 75. But the series continues to teach young readers and their parents about the natural world. > Q: Did you expect to create such a legacy? > A: I was in art school doing very serious art, and I realized that, in my heart of hearts, I wanted to do children's books. In the beginning, it was darn hard work. Some book sketch dummies have five layers of rewrites and reillustrations. The first book was a one-book contract to see if this would work. [The reception] was like the world was waiting for somebody to make this happen. People say, “[As a child,] I [used to] read these books, now I read them to my kids!” I could never have imagined it. > Q: Does scientific accuracy get in the way of storytelling? > A: Frequently. You have to tell kids what is true, but you can't give them all the truth—it's too much. For example, the evolution book goes from now [back] to the beginning of the Earth. I [initially] tried to show every era, year, and life form. It was too complicated. So it ended up as a nice, open spiral with a few representations of each era. > Q: Why use the format of adventures? > A: By following the story, it gave kids a mental filing system—they could retrieve and remember information because it was given to them in a memorable trip. ### Dispatches from the pandemic Read additional Science coverage of the pandemic at [sciencemag.org/tags/coronavirus][1]. #### U.S. vaccine efficacy trials begin The first large-scale efficacy trials of COVID-19 vaccines in the United States began last week. On 27 July, the National Institutes of Health, working with Moderna, announced the start of one that aims to recruit 30,000 people. Later that day, a partnership between Pfizer and BioNTech announced separately it was launching a similarly sized study at sites in the United States and elsewhere. Both the Moderna and the Pfizer/BioNTech vaccines contain messenger RNA that prompts cells to make a protein that studs the surface of the COVID-19 virus. If the vaccines work, this viral protein will safely teach the immune system how to battle the virus if a person later is exposed to it. Operation Warp Speed, the Trump administration's push to accelerate development of a COVID-19 vaccine, has committed nearly $3 billion to these two R&D projects, about half its total investment. Other efficacy trials of various COVID-19 vaccines have begun in Brazil, the United Arab Emirates, and the United Kingdom. Results are expected in late fall at the earliest. #### CDC slammed over school rules Guidance issued by the U.S. Centers for Disease Control and Prevention (CDC) last week for safely reopening schools downplays risks that teachers, other staff members, and students will spread or contract COVID-19, many public health specialists say. Provoking claims that CDC's advice had been politicized, the agency revised an earlier draft that President Donald Trump had panned as “very tough and expensive.” The nonbinding recommendations, released 23 July, emphasize the social and developmental benefits of in-person schooling and highlight that young children are at low risk for contracting the disease and transmitting the virus that causes it. The document also recommends against screening students for symptoms. Nevertheless, the Trump administration did advise communities with high infection rates to consider not beginning in-person classes. Large school districts, such as those in Atlanta, Houston, Los Angeles, and San Diego, have already announced that they will begin the 2020–21 school year with online instruction only. #### Anti-Fauci TV segment canceled Following heavy criticism from scientists and others, Sinclair Broadcast Corp. this week canceled plans for its chain of local TV stations to air a segment featuring widely challenged accusations that Anthony Fauci, director of the National Institute of Allergy and Infectious Diseases, intentionally created the virus responsible for COVID-19 and sent it to China. Fauci has helped lead the U.S. effort to control the pandemic despite tangling with President Donald Trump. The allegation came from Judy Mikovits, a virologist and antivaccine activist who appears in a documentary about the coronavirus that was also widely debunked as false and misleading (). The Sinclair segment, a new interview with Mikovits, was available online until the company pulled it for review on 25 July, after Media Matters reported its existence. Sinclair announced on 27 July that it would not air the segment on the nearly 200 TV stations it owns or operates in 89 U.S. markets—but not before one in Charleston, West Virginia, had broadcast it. [1]: http://sciencemag.org/tags/coronavirus


FICO Appoints Louise Lunn to Lead Global Analytics Delivery

#artificialintelligence

As head of EMEA analytics, Lunn has led the team responsible for delivering analytics projects to customers throughout Europe, the Middle East and Africa, and for bringing advances in analytics technology to customer projects. In her new role, she will oversee regional delivery teams in EMEA, Latin America, Asia-Pacific and North America, as well as the company's Global Analytic Delivery Center based in Bangalore, India, applying the latest breakthroughs in analytics to solve specific customers' challenges. "FICO has been a global leader in analytics for more than 60 years, ever since it brought the first credit scoring systems to market," said Louise Lunn, vice president of Global Analytics Delivery. "The explosion in data and the increasing use of AI and machine learning have brought the power of FICO analytics to more businesses worldwide, in every industry. I'm proud to be on the front lines of this effort, and to lead a global team of data scientists addressing the specific challenges of businesses worldwide."