Machine Learning Hive

Artificial Intelligence (AI) technology is a quickly growing field that excites as many people as it terrifies. The common sci-fi trope where AI tech creates its own AI until it reaches human levels of intelligence and eventually surpasses us is quickly becoming a reality . Many believe that it is really only a matter of time before the AI that we create can create AI more intelligent than us. According to Dr. Ben Goertzel, a robotics scientist and Chairman of a private AI software company, once this happens, human invention will become obsolete. Once AI devices are able to provide humans with food, water, shelter, and all other basic human needs, there won’t be much else for us to do. He thinks that some who seek higher levels of consciousness may elect to become “super-humans” (a possible theory, given rising interests in biotechnology, but that there will eventually be a tipping point where humans are surpassed by the very technology we created. Dr. Goertzel

We are living in a century where technology dominates lifestyle; artificial intelligence (AI) is one such example. It is an intelligence exhibited by machines or software to help make humans’ life easy. Apple brought its AI assistant SIRI into our daily lives, and Google and Microsoft have also came up with their own version of AI known as ‘Google Now’ and ‘Cortana’ respectively. The concept and application of AI is evolving. It can also be seen in some of the famous movies and shows like ‘Her’ directed by Spike Jonze, ‘Artificial Intelligence’ by Steven Spielberg, and many more. It shows how science is impacting our lives and accelerating a change in the lifestyle of people. Such websites are designed on the AI algorithm where you can interact with the machine in your leisure time for fun . Some of such AI chatbots are listed below. Breeze through them, you might just feel the urge of trying out one! Cleverbot Cleverbot is an AI, designed to have convers

Deep Learning, Fast Deep learning machines have been generating incredible amounts of buzz in recent months. Their extensive abilities can allow them to play video games, recognize faces, and, most importantly, learn. However, these systems learn 10 times more slowly than humans, which has allowed us to keep the creeping fears of a complete artificial intelligence (AI) takeover at bay. Now, Google has developed an AI that is capable of learning almost as quickly as a human being. Claims of this advancement in speed come from  Google’s DeepMind subsidiary in London. They say that not only can their machine assimilate and act on new experiences much more quickly than previous AI models, it will soon reach human-level speeds. If you’re unfamiliar with how deep learning works, it uses layers of neural networks to locate trends or patterns in data. If one layer identifies a pattern, that information will be sent to the next layer. This process continues until al

In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. It is a type of linear classifier, i.e. a classification algorithm that makes its predictions based on a linear predictor function combining a set of weights with the feature vector. The Perceptron, also known as the Rosenblatt’s Perceptron . Perceptrons are the most primitive classifiers, akin to the base neurons in a deep-learning system. What is Perceptron  A Single Neuron The basic unit of computation in a neural network is the neuron , often called a node or unit . It receives input from some other nodes, or from an external source and computes an output. Each input has an associated weight  (w), which is assigned on the basis of its relative importance to other inputs. The node applies a function  f (defined below) to the weighted sum of its inputs as shown in Figure 1 below: Basic elements of Perceptron Inputs : X1, X2 Bias : b Synaptic Weights :

In neuroscience, a neural network is a series of interconnected neurons whose activation defines a recognizable linear pathway. The interface through which neurons interact with their neighbors usually consists of several axon terminals connected via synapses to dendrites on other neurons. If the sum of the input signals into one neuron surpasses a certain threshold, the neuron sends an action potential (AP) at the axon hillock and transmits this electrical signal along the axon. But in terms of AI, neural network refers to Artificial Neural Network. So, what is Artificial Neural Network  The simplest definition of a neural network, more properly referred to as an 'artificial' neural network (ANN), is provided by the inventor of one of the first neurocomputers, Dr. Robert Hecht-Nielsen. He defines a neural network as: a computing system made up of a number of simple, highly interconnected processing elements, which process information by their dynami

So everyone have heard of term " machine learning ", but only has a fuzzy idea about it. I imagine there are a lot of people who tried reading the wikipedia article , got frustrated and gave up wishing someone would just give them a high-level explanation. That’s what this is.     So, What is Machine Learning Machine Learning is a subfield within Artificial Intelligence that builds algorithms that allow computers to learn to perform tasks from data instead of being explicitly programmed. Tom M. Mitchell provided a more formal definition, which says, "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T , as measured by P , improves with experience E ." In simple words, machine learning is a set of techniques used to program computers and make decisions automatically. How does it make decisions ? It makes decisions by detecting (or learning)