(A.I) Rise of the Machines | Artificial

“Super” Intelligence – Documentary 2019

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The 5th Kind

8.24.19

As we become ever more reliant on cellular phones and devices to aid in our everyday tasks; rapid development into new technologies and Artificial Intelligence is underway at an alarming rate. Modern devices are now specifically designed to interact with us in ways that mimic a real human being. Applications such as “siri” and “google-cast” are providing the user with a human-like interaction experience. These companies are Creating Artificially intelligent machines. Machines exhibiting cognitive behaviour, with human-like intelligence. For a program to be classed as A.I – it has to pass the Turing test. A test named after Alan Turing, A British mathematician who worked within the early stages of computer system development. He determined that if 30% of humans who interacted with a “machine” believed they were actually interacting with a human being, then the computer qualified as AI. In the race to perfect AI machinery – researchers believe that very soon a “singularity” will be created. A machine that rises beyond human control. Something uncontrollable and irreversible, resulting in catastrophic changes to human civilization. Could it be possible that humanity will soon arrive at a moment in history when artificial intelligence outsmarts human beings? Are Hollywood movies like “the Terminator”, “i-Robot” and “space odyssey 2001” an unintentional warning that this senario could happen within our not so distant future?…

BBC Documentary – Hyper Evolution : Rise Of The Robots

Seeker

Published on Nov 20, 2018

Engineering computers to work like brains could revolutionize technology as we know it. Here’s everything you need to know about neuromorphic computing. Neural Networks: How Do Robots Teach Themselves? – https://youtu.be/BR4dqbUSYDY

Read More: Thinking in Silicon https://www.technologyreview.com/s/52…

“Computers are incredibly inefficient at lots of tasks that are easy for even the simplest brains, such as recognizing images and navigating in unfamiliar spaces. Machines found in research labs or vast data centers can perform such tasks, but they are huge and energy-hungry, and they need specialized programming.” SpiNNaker Home Page http://apt.cs.manchester.ac.uk/projec…

“SpiNNaker is a novel computer architecture inspired by the working of the human brain. A SpiNNaker machine is a massively parallel computing platform, targeted towards three main areas of research: neuroscience, robotics, and computer science. Breakthrough in construction of computers for mimicking human brain https://www.sciencedaily.com/releases…

“A computer built to mimic the brain’s neural networks produces similar results to that of the best brain-simulation supercomputer software currently used for neural-signaling research.”

ADVEXON TV

Premiered Dec 4, 2018

AI (artificial intelligence) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Particular applications of AI include expert systems, speech recognition and machine vision. Types of artificial intelligence AI can be categorized in any number of ways, but here are two examples. The first classifies AI systems as either weak AI or strong AI. Weak AI, also known as narrow AI, is an AI system that is designed and trained for a particular task. Virtual personal assistants, such as Apple’s Siri, are a form of weak AI. Strong AI, also known as artificial general intelligence, is an AI system with generalized human cognitive abilities so that when presented with an unfamiliar task, it has enough intelligence to find a solution. The Turing Test, developed by mathematician Alan Turing in 1950, is a method used to determine if a computer can actually think like a human, although the method is controversial. The second example comes from Arend Hintze, an assistant professor of integrative biology and computer science and engineering at Michigan State University. He categorizes AI into four types, from the kind of AI systems that exist today to sentient systems, which do not yet exist. His categories are as follows:

Type 1: Reactive machines. An example is Deep Blue, the IBM chess program that beat Garry Kasparov in the 1990s. Deep Blue can identify pieces on the chess board and make predictions, but it has no memory and cannot use past experiences to inform future ones. It analyzes possible moves — its own and its opponent — and chooses the most strategic move. Deep Blue and Google’s AlphaGO were designed for narrow purposes and cannot easily be applied to another situation.

Type 2: Limited memory. These AI systems can use past experiences to inform future decisions. Some of the decision-making functions in self-driving cars are designed this way. Observations inform actions happening in the not-so-distant future, such as a car changing lanes. These observations are not stored permanently.

Type 3: Theory of mind. This psychology term refers to the understanding that others have their own beliefs, desires and intentions that impact the decisions they make. This kind of AI does not yet exist.

Type 4: Self-awareness. In this category, AI systems have a sense of self, have consciousness. Machines with self-awareness understand their current state and can use the information to infer what others are feeling. This type of AI does not yet exist.

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Lecturer starts at the 08:20 mark.

BCG in the Nordics

Published on Nov 23, 2018

On November 15, 2018, BCG GAMMA and Brahe Education Foundation hosted a lecture with Max Tegmark who spoke of Life 3.0 and the future of Artificial Intelligence including both its possibilities and also risks. What kind of future do we want to live in and how can we steer AI towards it? Max Tegmark is a Professor of Physics at MIT, co-founder of the Future of Life Institute, and Scientific Director of the Foundational Questions Institute.

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