Chief Marketing Officer at Interactions, a conversational AI company, where he oversees all aspects of communications, sales and marketing. Let's face it: When a company develops artificial intelligence (AI) that can offer us a medical diagnosis, care for our elderly grandparents or autonomously drive a vehicle, ethics aren't the flashiest elements to focus on. It's tempting for companies to get caught up in the excitement of creating the latest cutting-edge technology and vow to sort out ethical considerations after the fact. That works just as well, right? Late last year, I had a conversation with Thomas Arnold, a research associate at Tufts' Human-Robot Interaction Lab, for my company's podcast.
One of the challenges with modern machine learning systems is that they are very heavily dependent on large quantities of data to make them work well. This is especially the case with deep neural nets, where lots of layers means lots of neural connections which requires large amounts of data and training to get to the point where the system can provide results at acceptable levels of accuracy and precision. Indeed, the ultimate implementation of this massive data, massive network vision is the currently much-vaunted Open AI GPT-3, which is so large that it can predict and generate almost any text with surprising magical wizardry. However, in many ways, GPT-3 is still a big data magic trick. Indeed, Professor Luis Perez-Breva makes this exact point when he says that what we call machine learning isn't really learning at all.
TL;DR: Get a taste of nostalgia with the Polycade Home: Plug and Play Mounted Arcade for $3,899, a $100 savings as of Aug 1. The golden age of arcade video games (the late 1970s to the mid-1980s) died with the birth of home video game consoles. It's tragic, as there's truly no video game console that feels as authentic and wistful as playing Pac-Man or Street Fighter at the local arcade. While there's no guarantee genuine arcades will ever make a comeback -- especially not in the age of coronavirus -- there is a way you can bring that nostalgic vibe into your home. It's called the Polycade and it's designed with all the functions you'd want in an arcade machine, but with the form of a modern-day piece of art. If the arcade machine was first designed in 2020, what do you think it would look like?
Assistant HHS Secretary Admiral Brett Giroir weighs in on the coronavirus pandemic on'The Daily Briefing.' The leaders of the House Problem Solvers Caucus Friday expressed optimism that Republicans and Democrats will soon come together on a major coronavirus deal to continue supplemental unemployment benefits, help struggling small businesses and fund the reopening of schools. Tom Reed, R-N.Y., and Josh Gottheimer, D-N.J., predict an agreement will come within a matter of days. Negotiators are under pressure to act due to Friday's expiration of $600-per-week federal unemployment benefits, schools needing help to reopen this month and lawmakers wanting to preserve their August recess. "I think we're going to get this done this coming week," Gottheimer said in an interview with Fox News on Friday.
Perhaps you've heard of AI conducting interviews. Or maybe you've been interviewed by one yourself. Companies like HireVue claim their software can analyze video interviews to figure out a candidate's "employability score." The algorithms don't just evaluate face and body posture for appearance; they also tell employers whether the interviewee is tenacious, or good at working on a team. These assessments could have a big effect on a candidate's future.
Tesla and SpaceX CEO Elon Musk has claimed that Artificial Intelligence will be'vastly smarter' than any human and would overtake us by 2025. "We are headed toward a situation where AI is vastly smarter than humans. I think that time frame is less than five years from now. But that doesn't mean that everything goes to hell in five years. It just means that things get unstable or weird," Musk said in an interview with New York Times over the weekend.
CES 2021 will go all-digital this year since its organizers feel that's the only way they can protect attendees during the pandemic. The Consumer Technology Association (CTA) stages the biggest technology trade show of the year, drawing around 180,000 people to Las Vegas each January. But there will be no physical event in 2021, said CTA CEO Gary Shapiro in an interview with VentureBeat. That's going to be a severe blow to tech marketers who rely on CES to showcase upcoming products at an event that draws tons of press, tech enthusiasts, and buyers. The digital show's new format will still enable exhibitors, attendees, the press, and tech leaders to engage with each other through online talks and virtual meetings, Shapiro said.
If you need a reason to feel good about the direction technology is going, look up Dell Technologies CTO John Roese on Twitter. The handle he composed back in 2006 is @theICToptimist. ICT stands for information and communication. This podcast episode was produced by Insights, the custom content arm of MIT Technology Review. It was not produced by MIT Technology Review's editorial staff. "The reason for that acronym was because I firmly believed that the future was not about information technology and communication technology independently," says Roese, president and chief technology officer of products and operations at Dell Technologies. "It was about them coming together." Close to two decades later, it's hard not to call him right. Organizations are looking to the massive amounts of data they're collecting and generating to become fully digital, they're using the cloud to process and store all that data, and they're turning to new wireless technologies like 5G to power data-hungry applications such as artificial intelligence (AI) and machine learning. In this episode of Business Lab, Roese walks through this confluence of technologies and its future outcomes. For example, autonomous vehicles are developing fast, but fully driverless cars aren't plying are streets yet. And they won't until they tap into a "collaborative compute model"--smart devices that plug into a combination of cloud and edge-computing infrastructure to provide "effectively infinite compute." "One of the biggest problems isn't making the device smart; it's making the device smart and efficient in a scalable system," Roese says. So big things are ahead, but technology today is making huge strides, Roese says. He talks about machine intelligence, which taps AI and machine learning to mimic human intelligence and tackle complex problems, such as speeding up supply chains, or in health care, more accurately detecting tumors or types of cancer.
Toronto and the corridor that stretches west to Kitchener and Waterloo is already Canada's capital of finance and technology--and naturally, the region's leaders want to set an example for the rest of the world. That's part of the reason why in 2017, municipal organizations in Toronto tapped Google's sister company Sidewalk Labs to redevelop a disused waterfront industrial district as a high-tech prototype for the "smarter, greener, more inclusive cities" of tomorrow. But within three years the deal had collapsed, a victim of conflicting visions, public concerns over privacy and surveillance, and (to hear Sidewalk Labs tell it) pandemic-era economic change. Journalist Brian Barth, who trained in urban planning and spent seven years living and working in Toronto before returning to the US this summer, says the Sidewalk fiasco also symbolizes a larger difference: the contrast between Silicon Valley's hard-charging, individualist, libertarian ethos and a Canadian business style that emphasizes collaboration, respect, and social responsibility. In this edition of Deep Tech, Barth talks about the tensions that led to Sidewalk Labs' departure and the strategies Canadian CEOs are following to build a more open and inclusive tech sector. Toronto would like to be seen as the nice person's Silicon Valley, if that's not too much trouble, June 17, 2020 Wade Roush: Is Toronto like Silicon Valley for nice people?
The words, "person, woman, man, camera, TV," have haunted Americans for a week, and now, thanks to a man named Jason Kravits, they will live on forever in song. For those who somehow missed this news cycle, "person, woman, man, camera, TV" are the five words that President Donald Trump repeated in an interview with Fox News while bragging that he passed a cognitive test that wasn't designed to be particularly challenging. Trump's blabbering of random words inspired many jokes and memes on Twitter, but they reminded Kravits of the "Cell Block Tango" song from Chicago, so he spliced together clips from Trump's interview and the 2001 movie and created a hilarious "Brain-cell Block Tango" remix. "It's not a hard connection to put the two together, once you hear it. I'm sure I wasn't the first person to think of it," Kravits, a middle-aged actor currently sheltering-in-place in New York, said in an email. He explained that he was struck with inspiration at around midnight on Friday, so instead of going to sleep he spent three hours making the parody music video.