- 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.
Continue reading “Experts Predict When Artificial Intelligence Will Exceed Human Performance”
- 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.
Continue reading “Framework: The role of Humans in the Future of Work”
- 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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- Apple just bought another company to make Siri better
- Apple has bought Tuplejump, a machine learning…
- Apple continues to buy companies with machine learning expertise.
- ” Apple buys smaller technology companies from time to time, and we generally do not discuss our purpose or plans.”
- Apple confirmed the purchase to TechCrunch with its standard non-denial.Â
Apple has bought Tuplejump, a small machine learning technology company with operations in both India and the United States.
Continue reading “Apple buys Tuplejump, makers of FiloDB”
- BEIJING-Chip maker Nvidia Corp. and Chinese internet giant Baidu Inc. said Thursday that they are forming a partnership to develop a self-driving, artificially intelligent car.
- A 911 Lifeline for Your Car, No Fees Required
- EU’s Tax Decision Invites More Scrutiny of Apple
- EU Looks to Rein In Alleged Excesses of U.S. Tech Giants
- Apple Squeezes Suppliers to Protect Margins
Chip maker Nvidia and Chinese internet giant Baidu said they are forming a partnership to develop a self-driving, artificially intelligent car.
Continue reading “Chip-Maker Nvidia Teams Up With Baidu to Develop an Artificially Intelligent, Self-Driving Car”