Pointer Networks: An Introduction

Pointer networks are a variation of the sequence-to-sequence model with attention. Instead of translating one sequence into another, they yield a succession of pointers to the elements of the input series. The most basic use of this is ordering the elements of a variable-length sequence or set. Basic seq2seq is an LSTM encoder coupled with an LSTM decoder. It’s most often heard of in the context of machine translation: given a sentence in one language, the encoder turns it into a fixed-size representation. Decoder transforms this into a sentence again, possibly of different length than the source. For example, “como estas?” - two words - would be translated to “how are you?” - Three words.
The model gives better results when augmented with attention. Practically it means that the decoder can look back and forth over input. Specifically, it has access to encoder states from each step, not just the last one. Consider how it may help with Spanish, in which adjectives go before nouns: “neur…

Journey of Artificial Intelligence:

"Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems."
In the 50s, we started to see SQL databases with only one type of format. Then moving along, larger databases such as Oracle and Informix appeared. I started to use Database as a relevant tool in the early 80s. Today the variety of formats like pictures, videos, texts, engineering data, spreadsheets, mobile data, social media and emails require a different database format. This is why NoSQL started to exist (not only SQL). Data and the amount of data are more and more available. The intensity of data also started to become clear in the mid of 50s. However, at that time we did not know how to gather data and more importantly how to use data. Today, data has great value to all companies. Until recently, we had never thought of putting together all the different types of data. Over time companies have started to realize that they could use more and more thei…

Will One Small Step for AI Be One Giant Leap for Robotics?

Robot learns to walk by itself using artificial intelligence.
Have you ever wondered how human-like a robot can become? Initially, in the learning phase, a tendon-driving robotic limb undergoes a motor babbling phase where the system attempts random control sequences and gathers the associated kinematics. The input-output data from the motor babbling is fed to a multi-layer perceptron artificial neural network (ANN) to train it. In turn, the trained ANN produces an initial output-input (inverse) map based on the system’s dynamics.
The ANN of the inverse map from 6D kinematics to a 3D motor control sequences has three layers and twenty-four nodes total. There are six nodes in the input layer, fifteen nodes in the hidden layer, and three nodes in the output layer. The hyperbolic tangent sigmoid transfer function was used to compute a layer’s output from its net input—well suited for neural networks when velocity is a priority over the precise shape of the transfer function. Scaling was us…

Neuromorphic Computing: The Next Phase of Artificial Intelligence Technologies

The arms race between competing artificial intelligence technologies will ultimately decide how we address our cyber security challenges.

The use of artificial intelligence and machine learning systems is increasing rapidly. ‘Machine learning’ describes systems that can learn the correct response simply by analysing lots of sample input data, without having to be explicitly programmed to perform specific tasks. Perhaps the most successful and widespread technique is the use of artificial neural networks (ANNs).
ANNs copy the manner in which that neurons work in organic frameworks, for example, the human cerebrum, making a system of interconnected counterfeit neurons. They have demonstrated to be compelling at various errands, particularly those including design acknowledgment, for example, PC vision, discourse acknowledgment or therapeutic determination from side effects or outputs.
The most-used tool in the cybercriminal’s toolbox is the DDoS, or distributed denial of service, which is…

Is Deep Learning Just Neural Networks on Steroids?

Is "Deep Learning" simply one more name for advanced neural systems, or is there more to it than that? We take a look on going advance in deep learning just as neural systems.
Neural systems are more mind complex than only a multiplayer perception; they can have a lot progressively concealed layers and even intermittent associations. Yet, hang tight, don't despite everything they utilize the back engendering calculation for preparing? Anyway, if the idea isn't new, would this be able to imply that deep learning is only a cluster of neural systems on steroids? Is the entire object just because of parallel calculation and all the more powerful machines? Regularly, when I analyse supposed profound learning arrangements, this is what it resembles. When burrowing somewhat deeper, we do locate a couple of new units, designs and procedures in the field of deep learning. A portion of these advancements convey a littler weight, similar to the randomization presented by a dropo…

How the Internet of Things Will Affect Cloud Computing

The internet of things (IoT) is a standout amongst the most discussed advancements of a previous couple of years. An ever-increasing number of gadgets can associate with the Internet currently, enabling organizations to take advantage of gadgets without physically working them.
That is the place distributed computing comes in. Another moderately new innovation, distributed computing, and IoT go connected at the hip with one another. The cloud has considered IoT gadgets to store the information they produce without squandering space on physical servers. As more organizations receive IoT gadgets into their foundation, they will likewise need to change the manner in which they take a gander at the cloud. What do the capacities of IoT mean for the cloud, and in what manner can organizations set themselves up on the off chance that they're hoping to coordinate IoT gadgets?

Visibility and scalability: Cloud systems should almost certainly observe IoT gadgets on their system in the event t…

Machine learning provides insight into the human brain!!

"The basic pathways of numerous illnesses happen at the cell level, and numerous pharmaceuticals work at the microscale level,"

To comprehend what truly occurs at the deepest dimensions of the human mind, it is vital for us to create strategies that can dive into the profundities of the cerebrum non-intrusively."

As of now, most human mind contemplates utilizing non-intrusive methodologies, for example, MRI, which confines the examination of the cerebrum at a cell level. To connect this hole between non-intrusive imaging and cell understanding, specialists around the globe have utilized biophysical cerebrum models to reproduce mind action.
In any case, huge numbers of these models depend on excessively shortsighted presumptions, for example, accepting that all mind areas have the equivalent cell properties, which is known to be mistaken. “Our methodology accomplishes a vastly improved fit with genuine information"
That cerebrum districts associated with tactile disce…