- As Artificial Intelligence (AI) and Machine Learning (ML) get set to take a giant leap in improving day-to-day life, the key is to democratise these new-age tools for all and benefit the communities of developers, users and enterprise customers, a top Google executive said here on Wednesday.
- Google, a pioneer in AI, has been focusing on four key components – computing, algorithms, data and expertise — to organise all the data and make it accessible.
- Google as a company has always been at the forefront of computing AI,” Fei-Fei Li, Chief Scientist of Google Cloud AI and ML, told reporters during a media interaction here.
- Earlier this year, Google announced the second-generation Tensor Processing Units (TPUs) (now called the Cloud TPU) at the annual Google I/O event in the US.
- “We announced the Cloud TPU — the second-generation of our processing unit and our intention is to make it available via Google Cloud,” the top executive added.
Google, a pioneer in AI, has been focussing on computing, algorithms, data and expertise, to organise all the data and make it accessible.
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- Tesla chief executive Elon Musk shot back at Facebook CEO Mark Zuckerberg on Tuesday for saying people worried about artificial intelligence — the capability of machines to perform tasks usually reserved for humans — are “pretty irresponsible,” in a recent Facebook Live interview.
- Musk has been one of the most prominent voices in tech warning of the potential dangers of unchecked artificial intelligence, saying it’s humanity’s “biggest existential threat,” and the “greatest risk we face as a talked to Mark about this.
- — Elon Musk (@elonmusk) July 25, 2017
Beyond AI coming to take everyone’s job in the next 50 years, Musk has been more concerned with the plausible threat of machines moving beyond “narrow AI” — expertise in specific fields — and learning at a more rapid rate than humans can.
- He co-founded OpenAI in 2015, a research company aiming to build “safe AI” through a collaborative effort, rather than individual companies having an arms Rad Projects Elon Musk Has Worked On Musk has been at the forefront of Silicon Valley innovation for two decades.
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The real-life Tony Stark is the poster boy for Silicon Valley Musk has been at the forefront of Silicon Valley innovation for two decades.
Tesla CEO Elon Musk took issue with Mark Zuckerberg’s recent comments on artificial intelligence, saying the Facebook CEO’s knowledge is “limited”
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- They surveyed the world’s leading researchers in artificial intelligence by asking them when they think intelligent machines will better humans in a wide range of tasks.
- And many of the answers are something of a experts that Grace and co coopted were academics and industry experts who gave papers at the International Conference on Machine Learning in July 2015 and the Neural Information Processing Systems conference in December 2015.
- These are two of the most important events for experts in artificial intelligence, so it’s a good bet that many of the world’s experts were on this list.Grace and co asked them all—1,634 of them—to fill in a survey about when artificial intelligence would be better and cheaper than humans at a variety of tasks.
- Grave and co then calculated their median responsesThe experts predict that AI will outperform humans in the next 10 years in tasks such as translating languages (by 2024), writing high school essays (by 2026), and driving trucks (by 2027).
- It’s easy to think that this gives the lie to these predictions.The experts go on to predict a 50 percent chance that AI will be better than humans at more or less everything in about 45 years.That’s the kind of prediction that needs to be taken with a pinch of salt.
Trucking will be computerized long before surgery, computer scientists say.
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- For the last years in addressing the future of work I have often focused on the human capabilities that will drive value as machines become more capable and the work landscape is transformed.
- To help define and clarify these capabilities I created a landscape on the role of Humans in the Future of Work, which I first shared publicly in my keynote yesterday.
- This framework overlaps and builds on my Future of Work Framework, specifically building out the distinctive human capabilities that will be relevant and valued as the work landscape is transformed.
- I have spoken and written before about the three fundamental human capabilities for the future of work: EXPERTISE, RELATIONSHIPS and CREATIVITY.
- Recognizing these distinctive human capabilities allows us to design work, organizations and education to use and develop these capabilities to best effect.
For the last years in addressing the future of work I have often focused on the human capabilities that will drive value as machines become more capable and the work landscape is transformed.
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- Join our CrowdChat about deep learning and Apache Spark to find out what’s going on in the world of Spark-and what’s coming up.
- The CrowdChat, hosted by @IBMBigData , will bring together subject matter experts who will focus on the latest tech and trends in deep learning as well as their overlap with Apache Spark.
- A CrowdChat simply organizes tweets into streams of conversation.
- You’ll even be able to vote for your favorite comments so that they can be featured more prominently in the conversation.
- If the event will be your first experience with CrowdChat, don’t worry.
In this CrowdChat, join 11 experts from inside and outside IBM as you take part in a group exploration of the issues and possibilities that arise at the conjunction of Apache Spark and deep learning.
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- IBM and MIT team up to help AI see and hear like humans
- A human can easily describe what they saw happen in an event and predict what happens next, IBM says, but that’s virtually “impossible” for current AI.
- Google internet balloon uses AI to stay in place for weeks
- IBM will supply the expertise and technology from its Watson cognitive computing platform, while MIT will conduct research.
- Autonomous robots and other AI systems still don’t do a great job of understanding the world around them, but IBM and MIT think they can do better.
Autonomous robots and other AI systems still don’t do a great job of understanding the world around them, but IBM and MIT think they can do better. They’ve begu…
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- Apple acquires Indian machine learning company Tuplejump was last modified: September 23rd, 2016 by applenws
- Apple is increasingly acquiring firms with expertise in machine learning and artificial intelligence.
- Tuplejump offered software services to companies to store, process, and visualize data.
- Apple has confirmed it has acquired Tuplejump, a small Indian machine learning company with operations in India as well as the United States.
- Though the confirmation of Tuplejump’s acquisition came this week, the deal may have occurred sometime in April.
Apple has confirmed it has acquired Tuplejump, a small Indian machine learning company with operations in India as well as the United States.
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