Social Media Sidebar


Please sign up, comment on articles and bring your friends!

Current poll

PlanetTech is asking:

What do you think about our new web site?

Love it, indeed
Really good solution
Same as old one
The old one was better
This is a new option

Quote of the day

Just because something doesn’t do what you planned it to do doesn’t mean it’s useless.


Thomas Edison

Harvard is trying to build an AI like the human brain

Posted in Science on 26th Jan, 2016 04:21 PM by AlexMuller

Harvard University has been awarded $28 million (£19m) to investigate why brains are so much better at learning and retaining information than artificial intelligence. The award, from the Intelligence Advanced Projects Activity (IARPA), could help make AI systems faster, smarter and more like human brains. 

While some computers have a comparable storage capacity, their ability to recognise patterns and learn information does not match the human brain. But a better understanding of how neurons are connected could help develop more complex artificial intelligence.
Most neuroscientists estimate that the 'storage capacity' for the human brain ranges between 10 and 100 terabytes, with some evaluations putting the number at close to 2.5 petabytes. In terms of functionality, the human brain has a huge range, data analysis, pattern recognition and an ability to learn and retain information are just a few processes the brain goes through on a daily basis. 
A human being only need look at a car a few times to recognise one, but an AI system may need to process hundreds or even thousands of samples before it's able to retain the information. Conversely, while functionality may be more complex and varied, the human brain is unable to process the same volume of data as a computer.
Harvard's John A. Paulson School of Engineering and Applied Sciences (SEAS), Centre for Brain Studies (CBS) and Department of Molecular and Cellular Biologies will work together to record activity inside the visual cortex.
This, they hope, will help us understand how neurons are connected to each other with the end goal of creating a more accurate and complex artificial intelligence system. These learnings could allow the creation of the first computer systems that can interpret, analyse and learn information as quickly and successfully as human beings. 
The systems could be used to detect network invasions, read MRIs, drive cars, or complete just about any task normally reserved for human brains. The project will generate over a petabyte of data, which will be analysed by a series of complex algorithms to create a detailed 3D neural map.
"The pattern-recognition and learning abilities of machines still pale in comparison to even the simplest mammalian brains," said Hanspeter Pfister, professor of computer science at Harvard.
"The project is not only pushing the boundaries of brain science, it is also pushing the boundaries of what is possible in computer science. We will reconstruct neural circuits at an unprecedented level from petabytes of structural and functional data. It requires us to make new advances in data management, high-performance computing, computer vision and network analysis". 
Once the detailed neural map has been collated, the teams will try to understand exactly how connections between neurons allows the system to process information. These 'biologically-inspired' algorithms will far outperform current AI capabilities, and could see major improvements in computer vision, navigation and recognition. 
"This is a moonshot challenge," said project leader David Cox, assistant professor of molecular and cellular biology and computer science. "The scientific value of recording the activity of so many neurons and mapping their connections alone is enormous, but that is only the first half of the project. 
"As we figure out the fundamental principles governing how the brain learns, it's not hard to imagine that we'll eventually be able to design computer systems that can match, or even outperform, humans."
“We have a huge task ahead of us in this project, but at the end of the day, this research will help us understand what is special about our brains," he added. "One of the most exciting things about this project is that we are working on one of the great remaining achievements for human knowledge, understanding how the brain works at a fundamental level."

Tags: brainAIartificial intelligenceresearchneurosciencesoftware

Read original article » Back to category


Author: Guest
Posted: 2016-01-27
This is a big challenge and hopefully an important part of a huge task to better understand fundamental working of the human brain, lets hope it will bring expected advances Reply
Author: Guest
Posted: 2016-01-27
Just the first part-neuroscience- is very ambitious. Second, computer science part is even more so. One has to make a big push .... Reply


Recent headlines

  • Posted in Medicine on 2018-06-18 20:18:46
    Insight into role gut bacteria play in more
    Posted in Science on 2018-06-18 20:12:58
    Blood-based biomarker may predict whether you’ll more
    Posted in Science on 2018-06-17 23:45:17
    SpinLaunch raises $40M from Airbus, Google and others more
    Posted in Science on 2018-06-17 01:08:50
    New eyedrops could repair corneas, make glasses more
    Posted in Science on 2018-06-17 01:02:51
    121 giant exoplanets in habitable zones may more
Posted in Business on 2013-10-10 01:33
China is working towards a manned lunar mission in more
Posted in Business on 2013-10-20 07:17
Spacex says China is their main competitor for more
Posted in Software on 2013-10-20 06:43
Pirate Bay Browser Clocks 1,000,000 more
Posted in Medicine on 2013-10-10 02:10
Google reportedly investing hundreds of millions into more
Posted in Medicine on 2013-10-14 03:13
Endothelial Cells Can Repair and Regenerate Organs, more
Posted in Science on 01.01.2010
Spacex says China is their main competitor for more
Posted in Science on 01.01.2010
Staring at Your Phone Could Be Making You Short more
Posted in Science on 01.01.2010
Oculus Rift virtual reality headset coming to mobile, more
Posted in Science on 01.01.2010
China is working towards a manned lunar mission in more
Posted in Science on 01.01.2010
Delivering drugs via nanoparticles to target more

Recent Blog Posts

  • Posted by AlexMuller
    In five years quantum computing will be more
    Posted by AlexMuller
    Google partners with Johnson and Johnson to make lower more
    Posted by AlexMuller
    Electron holography microscope with spatial resolution down more
    Posted by AlexMuller
    Lower cost advanced Nuclear power could dominate future US more
    Posted by AlexMuller
    Why Hasn’t AI Mastered Language Translation? more

Login to your Account

Login to your PlanetTech Account here

Remember me

Create a New Account

You just need username and password

The following errors occured:
Verify password:
Remember me