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Archive for the ‘information science’ category

Jun 28, 2018

‘Breakthrough’ algorithm exponentially faster than any previous one

Posted by in categories: biotech/medical, information science, robotics/AI

What if a large class of algorithms used today—from the algorithms that help us avoid traffic to the algorithms that identify new drug molecules—worked exponentially faster?

Computer scientists at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a completely new kind of algorithm, one that exponentially speeds up computation by dramatically reducing the number of parallel steps required to reach a solution.

The researchers will present their novel approach at two upcoming conferences: the ACM Symposium on Theory of Computing (STOC), June 25–29 and International Conference on Machine Learning (ICML), July 10 −15.

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Jun 28, 2018

Ubiquitous Computing (The Future of Computing)

Posted by in categories: computing, information science, neuroscience

Recommended Books ➤

📖 Life 3.0 — http://azon.ly/ij9u
📖 The Master Algorithm — http://azon.ly/excm
📖 Superintelligence — http://azon.ly/v8uf

Continue reading “Ubiquitous Computing (The Future of Computing)” »

Jun 26, 2018

How your brain decides between knowledge and ignorance

Posted by in categories: food, information science, neuroscience

We have a ‘thirst for knowledge’ but sometime ‘ignorance is bliss’, so how do we choose between these two mind states at any given time?

UCL psychologists have discovered our brains use the same algorithm and neural architecture to evaluate the opportunity to gain information, as it does to evaluate rewards like food or money.

Funded by the Wellcome Trust, the research, published in the Proceedings of the National Academy of Sciences, also finds that people will spend money to both obtain advance knowledge of a good upcoming event and to remain ignorant of an upcoming bad event.

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Jun 21, 2018

What Is Optical Computing (Computing At The Speed of Light)

Posted by in categories: computing, information science

Recommended Books ➤

📖 Life 3.0 — http://azon.ly/ij9u
📖 The Master Algorithm — http://azon.ly/excm
📖 Superintelligence — http://azon.ly/v8uf

Continue reading “What Is Optical Computing (Computing At The Speed of Light)” »

Jun 20, 2018

10 Charts That Will Change Your Perspective On Artificial Intelligence’s Growth

Posted by in categories: biotech/medical, business, employment, information science, mapping, robotics/AI, security

  • There has been a 14X increase in the number of active AI startups since 2000. Crunchbase, VentureSource, and Sand Hill Econometrics were also used for completing this analysis with AI startups in Crunchbase cross-referenced to venture-backed companies in the VentureSource database. Any venture-backed companies from the Crunchbase list that were identified in the VentureSource database were included.

  • The share of jobs requiring AI skills has grown 4.5X since 2013., The growth of the share of US jobs requiring AI skills on the Indeed.com platform was calculated by first identifying AI-related jobs using titles and keywords in descriptions. Job growth is a calculated as a multiple of the share of jobs on the Indeed platform that required AI skills in the U.S. starting in January 2013. The study also calculated the growth of the share of jobs requiring AI skills on the Indeed.com platform, by country. Despite the rapid growth of the Canada and UK. AI job markets, Indeed.com reports they are respectively still 5% and 27% of the absolute size of the US AI job market.

  • Machine Learning, Deep Learning and Natural Language Processing (NLP) are the three most in-demand skills on Monster.com. Just two years ago NLP had been predicted to be the most in-demand skill for application developers creating new AI apps. In addition to skills creating AI apps, machine learning techniques, Python, Java, C++, experience with open source development environments, Spark, MATLAB, and Hadoop are the most in-demand skills. Based on an analysis of Monster.com entries as of today, the median salary is $127,000 in the U.S. for Data Scientists, Senior Data Scientists, Artificial Intelligence Consultants and Machine Learning Managers.

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Jun 19, 2018

Google says its AI is better at predicting death than hospitals

Posted by in categories: biotech/medical, information science, robotics/AI

Nature article presents an AI developed by Google’s Medical Brain team which outperforms hospitals’ own warning system in predicting the death risk among hospit…al patients.


Google’s Medical Brain team is now training its AI to predict the death risk among hospital patients — and its early results show it has slightly higher accuracy than a hospital’s own warning system.

Bloomberg describes the healthcare potential of the Medical Brain’s findings, including its ability to use previously unusable information in order to reach its predictions. The AI, once fed this data, made predictions about the likelihood of death, discharge, and readmission.

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Jun 17, 2018

The big picture: We’re getting closer to AI doctors

Posted by in categories: biotech/medical, information science, robotics/AI

It’s not unrealistic to think that 80% of what doctors do will be replaced by algorithms and artificial intelligence. The idea, evangelized by venture capitalist Vinod Khosla two years ago, is that machines can more accurately diagnosis us — and that will reduce deadly medical errors and free doctors up to do other things.

The bottom line: We’re getting closer to this reality. Algorithms, for example, can already diagnose diseases from imaging scans better than human radiologists. Computers possibly could take over the entire radiology specialty.

Read more toggle.

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Jun 16, 2018

Here’s who’s going to win the World Cup, according to A.I.

Posted by in categories: information science, internet, robotics/AI

Robots aren’t playing professional soccer just yet, but they can certainly help predict it! With the FIFA World Cup kicking off, San Francisco-based tech firm Unanimous A.I. has used its considerable artificial intelligence expertise to predict the outcome of the 32-team men’s soccer tournament. Given that the startup has previously predicted the Super Bowl results successfully right down to the exact final score, we totally think this is worth taking seriously.

“These predictions were generated using swarm A.I. technology,” Louis Rosenberg, founder and CEO of Unanimous A.I., told Digital Trends. “This means it uses a unique combination of human insights and artificial intelligence algorithms, resulting in a system that is smarter than the humans or the machines could be on their own. It works by connecting a group of people over the internet using A.I. algorithms, enabling them to think together as a system, and converge upon predictions that are the optimized combination of their individual knowledge, wisdom, instincts, and intuitions.”

The technology is modeled on the remarkable abilities of swarms in nature, such as swarms of bees, schools of fish, or flocks of birds. These natural swarms combine the insights of large groups in optimized ways. Unanimous’ swarms utilize this same principle to answer complex questions — such as giving precise probability-based outcomes on each game in the World Cup.

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Jun 16, 2018

What Is Quantum Computing (Future of AI Computing)

Posted by in categories: information science, quantum physics, robotics/AI

Recommended Books ➤

📖 Life 3.0 — http://azon.ly/ij9u
📖 The Master Algorithm — http://azon.ly/excm
📖 Superintelligence — http://azon.ly/v8uf

Continue reading “What Is Quantum Computing (Future of AI Computing)” »

Jun 14, 2018

The Brilliant Ways UPS Uses Artificial Intelligence, Machine Learning And Big Data

Posted by in categories: biotech/medical, business, drones, information science, robotics/AI

Autonomous deliveries and drones

UPS execs insist that the UPS driver is a core element to its success and the face of the company, but they have tested the use of drone deliveries for some applications including dropping essential supplies in Rwanda and demonstrating how medicine could be delivered to islands. In rural areas, where drones have open air to execute deliveries and the distance between stops makes it challenging for the drivers to be efficient, drones launched from the roofs of UPS trucks offer a solid solution to cut costs and improve service. Drones could also be deployed in UPS sorting facilities and warehouses to get items on high shelves or in remote areas.

The technology used by UPS generates a cache of data that opens up even more opportunities to become more efficient, improve the customer experience, innovate delivery solutions, and more. From optimizing the UPS network to driving operational improvements, big data and artificial intelligence are at the core of UPS’s business performance.

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