New Artifitial Intelligence that can predicts Human Actions

Artificial Intelligence that can predict human actions

BY:MEERA SHETTYSHREYA SHETTYREBEKAH WICKET

IntroductionClaiming to be able to recreate the capabilities of the human mind, is both a challenge and an inspiration for philosophy.

• It is the science and engineering of making intelligent machines, especially intelligent computer programs.

Are there limits to how intelligent machines can be?

Intelligence:“the capacity to learn and solve problems”Artificial Intelligence:

◦ Artificial intelligence (AI) is the intelligence of machines and robots and the branch of computer science that aims to create it the ability to solve problems the ability to act rationally the ability to act like humans

Can AI System Work As Efficient As Human Brain?????

How complicated is our brain?◦Neuron◦10 12 neurons in a human brain◦many more synapses (10 14) connecting these

neurons◦cycle time: 10 -3 seconds (1 millisecond)

How complex can we make computers?◦108 or more transistors per CPU ◦supercomputer: hundreds of CPUs, 1012 bits of RAM ◦cycle times: order of 10 - 9 seconds

ConclusionYES◦Less interconnections (wires or synapses) ◦Faster

Natural Language ProcessingTo design and build software that

will analyze understand and generate languages that human use naturally.

Modes of communication

Text based.

Dialogue based.

Advantages of artifical intelligenceJobsIncrease our technological

growth rateThey don’t sleepNo risk of harmAct as aids

DisadvantagesOver reliance on AIHuman feelInferiorMisuseEthically wrong

New AI that can predict human actions. In a breakthrough, scientists have developed an

artificial intelligence (AI) system - using videos from YouTube and popular TV shows - that can predict whether two people will hug, kiss or shake hands.

Scientists at Massachusetts Institute of Technology (MIT) in the US have made an important new breakthrough in predictive vision, developing an algorithm that can anticipate interactions more accurately than ever before.

They have also trained these computer systems that they could also anticipate what object is likely to appear in a video five seconds later.

Make them watch more videos so the computer can gain as much knowledge and can predict their surroundings.

Just like human beings making them more interested to create such an algorithm.

About the Algorithm Researchers created an algorithm that can predict "visual

representations," which are basically freeze-frames showing different versions of what the scene might look like.

The algorithm employs techniques from deep-learning, a field of artificial intelligence that uses systems called "neural networks" to teach computers to pore over massive amounts of data to find patterns on their own. Each algorithm predicts an action.

After training the algorithm on 600 hours of unlabelled video, the team tested it on new videos showing both actions and objects.

When shown a video of people who are one second away from performing one of the four actions, the algorithm correctly predicted the action more than 43 per cent of the time, which compares to existing algorithms that could only do 36 per cent of the time.

Fields of AI Computer science:Graphical User InterfaceAutomatic Storage managementObject Oriented ProgrammingData mimingcomputer gaming

Telecommunication: Automated Online Assistants Voice dialing Speech Recognization

Fields of AIRobotics:Assembling

RobotsWelding RobotsBehavior based

roboticsDancing RobotsRobot

HousekeeperRobot

Wife/Girlfriend

How AI is different?Artificial Intelligence

Non Creative

Precise

Consistency

Multitasking

Natural Intelligence

Creative

May Contain Error

Non Consistent

Can’t Handle

Thanks