New York – There is no question that we are all more dependent on technology than ever. So what happens when that tech does not work? In the past, Emily Dreyfuss used an old-school strategy: She yelled. When Amazon's Alexa spat out wrong answers or misunderstood questions, Dreyfuss let the virtual assistant have it. "I used her as a scapegoat for my feelings," said Dreyfuss, a writer and editor for Harvard's Shorenstein Center.
In a recent New Yorker article about the Capitol siege, Ronan Farrow described how investigators used a bevy of online data and facial recognition technology to confirm the identity of Larry Rendall Brock Jr., an Air Force Academy graduate and combat veteran from Texas. Brock was photographed inside the Capitol carrying zip ties, presumably to be used to restrain someone. Brock was arrested Sunday and charged with two counts.) Even as they stormed the Capitol, many rioters stopped to pose for photos and give excited interviews on livestream. Each photo uploaded, message posted, and stream shared created a torrent of data for police, researchers, activists, and journalists to archive and analyze.
New York (CNN Business)Disinfectant gadgets, next-generation fitness equipment and robots that help you cook dinner. Those are a few of the countless new products expected to be unveiled next week at the Consumer Electronics Show, the annual splashy tech conference that typically sets the tone for the biggest trends of the year. Home automation, health and 5G will once again be buzzy topics, but many companies will also introduce pandemic-specific features to reflect our increased time at home. Each year, reporters, exhibitors and investors typically explore Las Vegas showrooms filled with giant TVs, smart cars and robots fixing martinis, but CES will be online only for the first time in its 54-year history due to Covid-19. The Consumer Electronics Association, the nonprofit behind the four-day event starting Monday, said 1,800 exhibitors from around the world will fill its "digital venue" this year -- a number that's down significantly from 4,000 in-person exhibitors last year.
In 1964, the Civil Rights Act barred the humans who made hiring decisions from discriminating on the basis of sex or race. Now, software often contributes to those hiring decisions, helping managers screen résumés or interpret video interviews. That worries some tech experts and civil rights groups, who cite evidence that algorithms can replicate or magnify biases shown by people. In 2018, Reuters reported that Amazon scrapped a tool that filtered résumés based on past hiring patterns because it discriminated against women. Legislation proposed in the New York City Council seeks to update hiring discrimination rules for the age of algorithms.
Kimari Rennis, an 18-year-old who grew up in the Bronx, first became involved with the NYVGCC through an after-school program at DreamYard Prepatory School. Upon completing the after-school program four years ago, she became a paid intern, and is still in the internship program today. She calls the program "very generous" and "life changing," an opportunity to hone her journalistic skills and also meet luminaries within the video games industry, such as Hideo Kojima and actor Norman Reedus. Eventually, she received a scholarship through the NYVGCC, granting her the ability to enroll in the NYU, where she is currently studying game design.
Imagine life moving at 40,000 times the current speed. A flight from New York to Los Angeles would take a mere half a second, and a tomato would be ripe three minutes after its seed was planted. A research team at the Sandia National Laboratories (Sandia) in the U.S. has found a way to improve machine learning so that the design process of materials for new technologies could be 40,000 times faster. Their research was published in Computational Materials on Monday. The team at Sandia managed to use machine learning to complete materials science calculations at 40,000 times the regular speed.
CBS MarketWatch declared 2020: The Year of the SPAC (Special Purpose Acquisition Corporation). A record 219 companies went public through this fundraising vehicle that uses a reverse merger with an existing private business to create a publicly-listed entity. This accounted for more than $73 billion dollars of investment, providing private equity startups a new outlet to raise capital and provide shareholder liquidity. According to Goldman Sachs, the current trends represents a "year-over-year jump of 462% and outpacing traditional IPOs by $6 billion." In response to the interest in SPACs, the Securities and Exchange Commission agreed last week to allow private companies to raise capital through direct listings, providing even more access to the public markets outside of Wall Street's traditional institutional gatekeepers.
This time last year we were commemorating the end of a decade and looking ahead to the next one. Enter the year that felt like a decade all by itself: 2020. News written in January, the before-times, feels hopelessly out of touch with all that came after. Stories published in the early days of the pandemic are, for the most part, similarly naive. The year’s news cycle was swift and brutal, ping-ponging from pandemic to extreme social and political tension, whipsawing economies, and natural disasters. Hope. Despair. Loneliness. Grief. Grit. More hope. Another lockdown. It’s been a hell of a year. Though 2020 was dominated by big, hairy societal change, science and technology took significant steps forward. Researchers singularly focused on the pandemic and collaborated on solutions to a degree never before seen. New technologies converged to deliver vaccines in record time. The dark side of tech, from biased algorithms to the threat of omnipresent surveillance and corporate control of artificial intelligence, continued to rear its head. Meanwhile, AI showed uncanny command of language, joined Reddit threads, and made inroads into some of science’s grandest challenges. Mars rockets flew for the first time, and a private company delivered astronauts to the International Space Station. Deprived of night life, concerts, and festivals, millions traveled to virtual worlds instead. Anonymous jet packs flew over LA. Mysterious monoliths appeared and disappeared worldwide. It was all, you know, very 2020. For this year’s (in-no-way-all-encompassing) list of fascinating stories in tech and science, we tried to select those that weren’t totally dated by the news, but rose above it in some way. So, without further ado: This year’s picks. How Science Beat the Virus Ed Yong | The Atlantic “Much like famous initiatives such as the Manhattan Project and the Apollo program, epidemics focus the energies of large groups of scientists. …But ‘nothing in history was even close to the level of pivoting that’s happening right now,’ Madhukar Pai of McGill University told me. … No other disease has been scrutinized so intensely, by so much combined intellect, in so brief a time.” ‘It Will Change Everything’: DeepMind’s AI Makes Gigantic Leap in Solving Protein Structures Ewen Callaway | Nature “In some cases, AlphaFold’s structure predictions were indistinguishable from those determined using ‘gold standard’ experimental methods such as X-ray crystallography and, in recent years, cryo-electron microscopy (cryo-EM). AlphaFold might not obviate the need for these laborious and expensive methods—yet—say scientists, but the AI will make it possible to study living things in new ways.” OpenAI’s Latest Breakthrough Is Astonishingly Powerful, But Still Fighting Its Flaws James Vincent | The Verge “What makes GPT-3 amazing, they say, is not that it can tell you that the capital of Paraguay is Asunción (it is) or that 466 times 23.5 is 10,987 (it’s not), but that it’s capable of answering both questions and many more beside simply because it was trained on more data for longer than other programs. If there’s one thing we know that the world is creating more and more of, it’s data and computing power, which means GPT-3’s descendants are only going to get more clever.” Artificial General Intelligence: Are We Close, and Does It Even Make Sense to Try? Will Douglas Heaven | MIT Technology Review “A machine that could think like a person has been the guiding vision of AI research since the earliest days—and remains its most divisive idea. …So why is AGI controversial? Why does it matter? And is it a reckless, misleading dream—or the ultimate goal?” The Dark Side of Big Tech’s Funding for AI Research Tom Simonite | Wired “Timnit Gebru’s exit from Google is a powerful reminder of how thoroughly companies dominate the field, with the biggest computers and the most resources. …[Meredith] Whittaker of AI Now says properly probing the societal effects of AI is fundamentally incompatible with corporate labs. ‘That kind of research that looks at the power and politics of AI is and must be inherently adversarial to the firms that are profiting from this technology.’i” We’re Not Prepared for the End of Moore’s Law David Rotman | MIT Technology Review “Quantum computing, carbon nanotube transistors, even spintronics, are enticing possibilities—but none are obvious replacements for the promise that Gordon Moore first saw in a simple integrated circuit. We need the research investments now to find out, though. Because one prediction is pretty much certain to come true: we’re always going to want more computing power.” Inside the Race to Build the Best Quantum Computer on Earth Gideon Lichfield | MIT Technology Review “Regardless of whether you agree with Google’s position [on ‘quantum supremacy’] or IBM’s, the next goal is clear, Oliver says: to build a quantum computer that can do something useful. …The trouble is that it’s nearly impossible to predict what the first useful task will be, or how big a computer will be needed to perform it.” The Secretive Company That Might End Privacy as We Know It Kashmir Hill | The New York Times “Searching someone by face could become as easy as Googling a name. Strangers would be able to listen in on sensitive conversations, take photos of the participants and know personal secrets. Someone walking down the street would be immediately identifiable—and his or her home address would be only a few clicks away. It would herald the end of public anonymity.” Wrongfully Accused by an Algorithm Kashmir Hill | The New York Times “Mr. Williams knew that he had not committed the crime in question. What he could not have known, as he sat in the interrogation room, is that his case may be the first known account of an American being wrongfully arrested based on a flawed match from a facial recognition algorithm, according to experts on technology and the law.” Predictive Policing Algorithms Are Racist. They Need to Be Dismantled. Will Douglas Heaven | MIT Technology Review “A number of studies have shown that these tools perpetuate systemic racism, and yet we still know very little about how they work, who is using them, and for what purpose. All of this needs to change before a proper reckoning can take pace. Luckily, the tide may be turning.” The Panopticon Is Already Here Ross Andersen | The Atlantic “Artificial intelligence has applications in nearly every human domain, from the instant translation of spoken language to early viral-outbreak detection. But Xi [Jinping] also wants to use AI’s awesome analytical powers to push China to the cutting edge of surveillance. He wants to build an all-seeing digital system of social control, patrolled by precog algorithms that identify potential dissenters in real time.” The Case For Cities That Aren’t Dystopian Surveillance States Cory Doctorow | The Guardian “Imagine a human-centered smart city that knows everything it can about things. It knows how many seats are free on every bus, it knows how busy every road is, it knows where there are short-hire bikes available and where there are potholes. …What it doesn’t know is anything about individuals in the city.” The Modern World Has Finally Become Too Complex for Any of Us to Understand Tim Maughan | OneZero “One of the dominant themes of the last few years is that nothing makes sense. …I am here to tell you that the reason so much of the world seems incomprehensible is that it is incomprehensible. From social media to the global economy to supply chains, our lives rest precariously on systems that have become so complex, and we have yielded so much of it to technologies and autonomous actors that no one totally comprehends it all.” The Conscience of Silicon Valley Zach Baron | GQ “What I really hoped to do, I said, was to talk about the future and how to live in it. This year feels like a crossroads; I do not need to explain what I mean by this. …I want to destroy my computer, through which I now work and ‘have drinks’ and stare at blurry simulations of my parents sometimes; I want to kneel down and pray to it like a god. I want someone—I want Jaron Lanier—to tell me where we’re going, and whether it’s going to be okay when we get there. Lanier just nodded. All right, then.” Yes to Tech Optimism. And Pessimism. Shira Ovide | The New York Times “Technology is not something that exists in a bubble; it is a phenomenon that changes how we live or how our world works in ways that help and hurt. That calls for more humility and bridges across the optimism-pessimism divide from people who make technology, those of us who write about it, government officials and the public. We need to think on the bright side. And we need to consider the horribles.” How Afrofuturism Can Help the World Mend C. Brandon Ogbunu | Wired “…[W. E. B. DuBois’] ‘The Comet’ helped lay the foundation for a paradigm known as Afrofuturism. A century later, as a comet carrying disease and social unrest has upended the world, Afrofuturism may be more relevant than ever. Its vision can help guide us out of the rubble, and help us to consider universes of better alternatives.” Wikipedia Is the Last Best Place on the Internet Richard Cooke | Wired “More than an encyclopedia, Wikipedia has become a community, a library, a constitution, an experiment, a political manifesto—the closest thing there is to an online public square. It is one of the few remaining places that retains the faintly utopian glow of the early World Wide Web.” Can Genetic Engineering Bring Back the American Chestnut? Gabriel Popkin | The New York Times Magazine “The geneticists’ research forces conservationists to confront, in a new and sometimes discomfiting way, the prospect that repairing the natural world does not necessarily mean returning to an unblemished Eden. It may instead mean embracing a role that we’ve already assumed: engineers of everything, including nature.” At the Limits of Thought David C. Krakauer | Aeon “A schism is emerging in the scientific enterprise. On the one side is the human mind, the source of every story, theory, and explanation that our species holds dear. On the other stand the machines, whose algorithms possess astonishing predictive power but whose inner workings remain radically opaque to human observers.” Is the Internet Conscious? If It Were, How Would We Know? Meghan O’Gieblyn | Wired “Does the internet behave like a creature with an internal life? Does it manifest the fruits of consciousness? There are certainly moments when it seems to. Google can anticipate what you’re going to type before you fully articulate it to yourself. Facebook ads can intuit that a woman is pregnant before she tells her family and friends. It is easy, in such moments, to conclude that you’re in the presence of another mind—though given the human tendency to anthropomorphize, we should be wary of quick conclusions.” The Internet Is an Amnesia Machine Simon Pitt | OneZero “There was a time when I didn’t know what a Baby Yoda was. Then there was a time I couldn’t go online without reading about Baby Yoda. And now, Baby Yoda is a distant, shrugging memory. Soon there will be a generation of people who missed the whole thing and for whom Baby Yoda is as meaningless as it was for me a year ago.” Digital Pregnancy Tests Are Almost as Powerful as the Original IBM PC Tom Warren | The Verge “Each test, which costs less than $5, includes a processor, RAM, a button cell battery, and a tiny LCD screen to display the result. …Foone speculates that this device is ‘probably faster at number crunching and basic I/O than the CPU used in the original IBM PC.’ IBM’s original PC was based on Intel’s 8088 microprocessor, an 8-bit chip that operated at 5Mhz. The difference here is that this is a pregnancy test you pee on and then throw away.” The Party Goes on in Massive Online Worlds Cecilia D’Anastasio | Wired “We’re more stand-outside types than the types to cast a flashy glamour spell and chat up the nearest cat girl. But, hey, it’s Final Fantasy XIV online, and where my body sat in New York, the epicenter of America’s Covid-19 outbreak, there certainly weren’t any parties.” The Facebook Groups Where People Pretend the Pandemic Isn’t Happening Kaitlyn Tiffany | The Atlantic “Losing track of a friend in a packed bar or screaming to be heard over a live band is not something that’s happening much in the real world at the moment, but it happens all the time in the 2,100-person Facebook group ‘a group where we all pretend we’re in the same venue.’ So does losing shoes and Juul pods, and shouting matches over which bands are the saddest, and therefore the greatest.” Did You Fly a Jetpack Over Los Angeles This Weekend? Because the FBI Is Looking for You Tom McKay | Gizmodo “Did you fly a jetpack over Los Angeles at approximately 3,000 feet on Sunday? Some kind of tiny helicopter? Maybe a lawn chair with balloons tied to it? If the answer to any of the above questions is ‘yes,’ you should probably lay low for a while (by which I mean cool it on the single-occupant flying machine). That’s because passing airline pilots spotted you, and now it’s this whole thing with the FBI and the Federal Aviation Administration, both of which are investigating.” Image Credit: Thomas Kinto / Unsplash Continue reading →
New York (CNN Business)Talk of a possible Apple car is back. Apple (AAPL) hasn't commented publicly on its plans for the project, nicknamed Titan, so it's not clear exactly what will come of the effort. Some who follow the company think it could release a whole Apple-branded, electric, self-driving car. Others think it's more likely Apple will partner with existing automakers to sell an operating system (iDrive, maybe?), self-driving tools or other technology. There are some clues available, though.
New York (CNN Business)Longstanding speculation that Apple will release its own electric, self-driving car was reignited last week when Reuters, citing unnamed sources, reported that Apple plans to produce a passenger vehicle by 2024. Talk of the iPhone maker's ambitions to break into the auto industry has been swirling for about five years. Expectations for the effort, named Project Titan, range from the company developing its own Apple-branded car to providing operating system software to existing car manufacturers. In April 2017, Apple received a permit from the California Department of Motor Vehicles to test self-driving vehicles there. An Apple car has the potential to be "a transformative event" for the automobile and mobility industry in the coming decades, Morgan Stanley analysts wrote in a note to investors last week -- much as the iPhone changed the game for mobile phones.