At least that’s what Masayoshi Son, founder, chairman, and chief executive of Softbank, said at the Mobile World Congress. He believes that by then there will be 10 billion smart robots (including smart cars), greatly surpassing mankind’s population.
All sorts of dates have been thrown around for when robots will overtake humans intellectually. Ray Kurzweil thinks it will be in 2029, Richard Coren thinks it will take place around 2140, and the list goes on. What do you think? Click an answer below and please leave a comment as well.
Masayoshi Son, founder, chairman and chief executive of Softbank painted a picture of the future at MWC, predicting that smart machines will both outnumber and out-think consumers.
The company’s ARM chipsets, which are present in 99% of smartphones, he claimed, will redefine genius. A human genius clocks in at around an IQ
of 200 IQ, (roughly Einstein level), the chips being shipped by the company will reportedly reach an IQ of 10,000.
“The chips in our shoes in the next 20 years will be smarter than our brains, we are less than our shoes and we are stepping of them.”
An article was recently written in Scientific American which argued that we are in the middle of a technological upheaval that will transform the way society is organized and that we must make the right decisions now.
The authors write, “It can be expected that supercomputers will soon surpass human capabilities in almost all areas—somewhere between 2020 and 2060. Experts are starting to ring alarm bells. Technology visionaries, such as Elon Musk from Tesla Motors, Bill Gates from Microsoft and Apple co-founder Steve Wozniak, are warning that super-intelligence is a serious danger for humanity, possibly even more dangerous than nuclear weapons. Is this alarmism?” The rest of the lengthy article explores the effects of this drastic technological shift. Spoiler alert: democracy is greatly threatened.
Handle is a research robot that stands 6.5 ft tall, travels at 9 mph and jumps 4 feet vertically. It uses electric power to operate both electric and hydraulic actuators, with a range of about 15 miles on one battery charge. Handle uses many of the same dynamics, balance and mobile manipulation principles found in the quadruped and biped robots we build, but with only about 10 actuated joints, it is significantly less complex. Wheels are efficient on flat surfaces while legs can go almost anywhere: by combining wheels and legs Handle can have the best of both worlds.
Founded in 2014, the Bangalore, India-based company helps organizations discover, engage and hire top, relevant talent at the right time using a data-driven
solution that it claims helps hiring teams spot candidates who best fit their requirements and are most inclined to move and engage with them through personalized interactions.
Belong is seeking to address a challenge in the hiring solutions market that sees diminishing returns on inbound hiring as top talent no longer applies for jobs. By using machine intelligence, Belong’s platform helps recruiters target “high relevant candidates” who are “open to pursuing new opportunities,” or put less pleasantly the AI uses online data to work out whether someone is unhappy in their current role and might be interested in being recruited.
As with other technologies introduced in the past decade, AI is the subject of many market predictions. But what exactly is current commercial adoption of AI beyond academic labs? In this ten-page report, Spiderbook cofounder Aman Naimat provides the results of a data-driven analysis into the U.S. industries and companies using or building AI products right now.
Although some so-called AI applications aren’t actually cognitive, there are technologies capable of achieving human- or superhuman-level intelligence on given tasks. Naimat and his team canvassed nearly 500,000 companies and used Spiderbook’s graph-based machine-learning model to read the business Internet and classify businesses into different levels of AI maturity.
Eric Jang, Research Engineer at Google Brain, has given his thoughts about which companies he believes are the biggest players in AI research on Quora.
He places DeepMind and Google at the top of the ranks, but believes that Facebook and OpenAI are not far behind. Next on the list are Baidu, Microsoft Research, Apple, and IBM. He provides a concise, but informative, analysis of the companies’ research and why he believes the ranking should be as such.
At Workfit, they have been heads-down building Eva, an enterprise voice AI. Eva will intelligently facilitate meetings by making them searchable, taking note of decisions, and encouraging follow-up on action items. Eva for Enterprise will go even further, engaging beyond meetings to help employees feed data into, and query data out of, a variety of CRM, task management, and customer service platforms.
Their mission is to make people vastly more productive, by leveraging AI techniques that augment their skills. They call this flavor of AI ‘Augmented Intelligence’ because it helps people become more skilled rather than replacing their jobs.
Bloq has acquired Skry, a pioneer in blockchain analytics, to enhance its suite of analysis tools and position the firm to maximize the value of blockchain data sets through artificial intelligence and machine learning.
“Blockchain networks need more than a rudimentary finder or explorer,” said Jeff Garzik, CEO and Co-founder of Bloq. “We’re ensuring that enterprises won’t have to ‘fly blind’ without a complete understanding of the performance, economics and irregularities of their underlying networks.”
Skry’s platform allows clients to manage, visualize and analyze blockchain data from disparate sources. It allows users to detect anomalies – such as a DDoS attack, spike in transaction fees or certain block dynamics – both on public and private blockchains.