8th Global Summit on Artificial Intelligence and Neural Networks

Scientists have for the first time applied a generative neural network to create new pharmaceutical medicines with the desired characteristics. By using Generative Adversarial Networks (GANs) developed and trained to "invent" new molecular structures, there may soon be a reduction in the time and cost of searching for substances with potential medicinal properties. The researchers intend to use these technologies in the search for new medications within various areas from oncology and even anti-infective. Currently, the inorganic molecule base contains hundreds of millions of substances, and only a small fraction of them are used in medicinal drugs. The pharmacological methods of making drugs generally have a hereditary nature. For example, pharmacologists might continue to research aspirin that has already been in use for many years, perhaps adding something into the compound to reduce side effects or increase efficiency, yet the substance still remains the sam...

Researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do. In the growing research field of “affective computing”, robots and computers are being developed to analyze facial expressions, interpret our emotions and respond accordingly. Applications include, for instance, monitoring an individual’s health and well-being, gauging student interest in classrooms, helping diagnose signs of certain diseases, and developing helpful robot companions . A challenge, however, is people express emotions quite differently, depending on many factors. General differences can be seen between cultures, genders, and age groups. But other differences are even more fine-grained: The time of day, how much you slept, or even your level of familiarity with a conversation partner leads to subtle variations in the way you express, say, happiness or sadness in a given moment. Human brains instinctively catch these dev...

                           Women Scientist (The Women of Science Award)                            We are Organizing 8 th Global Summit on Artificial Intelligence and Neural Networks (Neural Networks 2020) which is going to be held in the month of June 18-19, 2020 in Dubai, UAE. Theme : AI - The Next Evolutionary Step in Digital Transformation Our Conference provides a unique platform for women scientists for presenting the latest research projects with an in-depth analysis. We warmly welcome women scholars and scientists from Universities/ Industries who have significant research experience in Machine Learning, Deep Learning and AI to join the forum. We are happy to encourage our women scientist’s participants through research awards and provides assistance for women scholars in the respective areas of Machine Learni...

Artificial I ntelligence is the most important and the revolutionary invention of mankind.   Since its launch into this materialistic world, it has drastically ruled out all existing complication which was prevailing from our evolution in a very short span of time. The latest addition to its glossary is ALEXA. The thirst for knowledge is never ending for any generation and its arrival has definitely made a huge impact in terms of expansion of unlimited and source-able information anywhere anytime.   It is based on artificial intelligence and machine learning where it basically responds to the voice command of the user by retrieving the information from its database in fraction of a second. It also uses the feedback system so that it rectifies from its errors and manipulations. The other innovations such as Natural language generation, Speech recognition, virtual agents etc. are definitely a treat to look out for the gadget lovers. Their updates are under process which w...

Researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do. In the growing research field of “affective computing”, robots and computers are being developed to analyze facial expressions, interpret our emotions, and respond accordingly. Applications include, for instance, monitoring an individual’s health and well-being, gauging student interest in classrooms, helping diagnose signs of certain diseases, and developing helpful robot companions . A challenge, however, is people express emotions quite differently, depending on many factors. General differences can be seen between cultures, genders, and age groups. But other differences are even more fine-grained: The time of day, how much you slept, or even your level of familiarity with a conversation partner leads to subtle variations in the way you express, say, happiness or sadness in a given moment. Human brains instinctively catch these devi...

In the ever dynamical world of data technology, business organizations are left with a massive amount of data with them. This data includes very crucial info for business use, however business organizations are solely ready to utilize 200th of whole data accessible with them with the use of traditional data analytics technology. To method and interpret the reaming 80th of the data that's within the form of videos, images, and human voice (also referred to as dark data), there's a requirement of cognitive computing systems. Cognitive computing  systems are a typical combination of hardware and software that constitute natural language processing (NLP) and machine language, and have the capability to collect, process, and interpret the dark data available with business organizations. Cognitive computing systems process and interpret the data in a probabilistic manner, unlike conventional big data analytic tools. However, to cope with the continuously evolving technolog...

The significant breakthrough demonstrates that an optical circuit will perform a critical function of an electronics-based artificial neural network and will result in more cost-effective, quicker and additional energy-efficient ways to perform advanced tasks like speech or image recognition. using an optical chip to perform neural network computations additional efficiently than is possible with digital computers could permit additional advanced issues to be resolved. An artificial neural network is a variety of artificial intelligence that uses connected units to process data in a manner like the way the brain processes information.             A light-based network A neural network process is often performed employing a traditional computer, there are significant efforts to design hardware optimized specifically for neural network computing. Optics-based devices are of great interest because they can perform...

AI and Machine Learning would revolutionize our existing technological frameworks and introduce a brand new industrial age by reorienting and reworking everything from the only of appliances to cars. However, that’s not all! The applications of Machine Learning aren't solely restricted to the terrestrial zone, however, have reached for the sky too, each virtually furthermore as figuratively. Similar to all alternative domains that are constantly reimagining themselves and girding for the longer term, the domain of remote sensing is additionally undergoing profound changes and witnessing increasing use of specified algorithms once huge information and Cloud Computing became virtually omnipresent. Machine Learning algorithms have verified to be a strong tool for analyzing satellite imagery of any resolution and proving higher and additional nuanced insights. In its emerging stages, there are a few challenges as well in the application of Machine Learning on satellite pictu...

Computer scientists have created Artificial Intelligence (AI) that may probe the “minds” of alternative computers and predict their actions, the primary step to fluid collaboration among machines and between machines and folks. By about the age of four, human youngsters understand that the beliefs of another person might diverge from reality which those beliefs may be wont to predict the person’s future behavior. Number of today’s computers will label facial expressions like “happy” or “angry” ability related to the idea of mind, however, they need very little understanding of human emotions. The new project began as a shot to urge humans to grasp computers. Several algorithms employed by AI aren’t absolutely written by programmers; however instead rely on the machine “learning” because of it consecutive tackles issues. The resulting computer-generated solutions square measure typically black boxes, with algorithms too complicated for human insight to penetrate. So Neil Rab...

The cybersecurity world could be a constant battle to remain one step prior to the opposite aspect. Attackers unendingly develop new ways in which to interrupt into a system and acquire around its defenses, whereas the great guys should unrelentingly fix these weaknesses and build defenses against new sorts of attacks. Artificial intelligence presents a brand new world of prospects for each cybersecurity specialists and hackers. As AI has become a lot of prevailing, there is a little doubt that it will become a target of attacks. Those making AI programs and also the world’s security execs are acting on production ways in which to thwart these attacks before they occur. Businesses, likewise, that wish to use AI ought to confirm they need a method in situ to guard it before rolling out AI-based solutions. Defensive AI Defensive Artificial Intelligence accounts for this attack ability and makes it more durable for unhealthy actors to be told however they work. The...

In the field of autonomous cars, algorithms for dominant lane changes are a very important topic of study. however most existing lane-change algorithms have one among 2 drawbacks: Either they have confidence elaborated applied math models of the driving setting, that are tough to assemble and too advanced to investigate on the fly; or they’re thus easy that they will result in impractically conservative choices, adore ne'er ever-changing lanes the least bit. One normal means for autonomous vehicles to avoid collisions is to calculate buffer zones round the alternative vehicles within the surroundings. The buffer zones describe not solely the vehicles’ current positions however their probably future positions inside a while frame. Coming up with lane changes then becomes a matter of merely staying out of alternative vehicles’ buffer zones. For any given methodology of computing buffer zones, formula designers should prove that it guarantees collision shunning, inside the ...

A new method involving Artificial Intelligence developed by Massachusetts Institute of Technology physicists will offer how to custom-design multi-layered nanoparticles with desired properties, doubtless to be used in displays, cloaking systems, or medical specialty devices. It’s going to additionally facilitate physicists tackle a range of thorny analysis issues, in ways in which may in some cases be orders of magnitude quicker than existing ways. The innovation uses machine neural networks, a sort of computing, to “learn” however a nanoparticle’s structure affects its behavior, during this case the manner it scatters totally different colors of sunshine, supported thousands of coaching examples. Then, having learned the connection, the program will primarily be run backward a particle with the desired set of light-scattering properties a method referred to as the inverse design. The nanoparticles are stratified like associate onion; however, every layer is formed of to...

Using intelligent algorithms, information classification and good prophetic analysis, AI has its utility during a sizable amount of sectors. A lot of specific set of AI that mixes the accuracy of GIS with the razor-sharp analysis and solution-based approach of AI is termed Geospatial AI or just Geo.AI. Geospatial AI also can be referred to as a replacement type of machine learning that's supported a geographic part. How does it work? With the assistance of straightforward smartphone applications, folks will offer period feedback regarding the conditions in their surroundings, as an example, traffic jam, the main points of it, the height hours, their expertise of it, their rating: low, moderate, or dense. The information is then collated, sorted, analyzed and it enhances its accuracy and preciseness as a result of thousands of users contributive to the information. This approach of exploitation geographical location would then not solely fill the kn...

Google’s new variety of computer science algorithmic program will make out what things appear as if from all angles — while not having to examine them. After viewing one thing from simply a number of totally different views, the Generative question Network was able to piece along an object’s look, while it'd seem from angles not analyzed by the algorithmic program, in step with analysis printed nowadays in Science. And it did therefore with none human management or coaching. that would save heaps of your time as engineers prepare more and more advanced algorithms for technology, however, it might conjointly extend the skills of machine learning to administer robots (military or otherwise) larger awareness of their surroundings. The Google analyzers intend for his or her new variety of computer science system to require away one among the foremost time sucks of AI research — researching and manually tagging and expansion pictures and alternative media which will be wont t...

Graphical Processing Units was first developed in 1999 by NVidia and was referred to as the GeForce 256. This GPU model could process 10 million polygons per second and had more than 22 million transistors. The GeForce 256 was a single-chip processor with integrated transform, drawing and BitBLT support, lighting effects, triangle setup/clipping and rendering engines. Conventionally, computing power is related to the quantity of CPUs and therefore the cores per processing unit. WinTel started to breach the enterprise data center, application performance and information throughput were directly proportional to the number of CPUs and available RAM. Whereas these factors are important to achieving the desired performance of enterprise applications, a new processor began to gain attention – Graphics Processing Unit or GPU. But within the time of Machine Learning and AI, GPUs found a new place that makes them as applicable as CPUs. Deep learning, and advanced machine learning...

A prediction interval is a quantification of the uncertainty on a prediction. A prediction from a machine learning perspective is a single point/purpose that hides the uncertainty of that prediction. It provides a probabilistic upper and  lower  bounds on the estimate of an outcome variable. And are most widely used when making predictions or forecasts with a regression model, where a quantity is being foreseen. It surrounds the prediction created by the model and hopefully covers the range of the actual outcome. A confidence interval quantifies the unpredictability on an approximated population variable, such as the mean or standard deviation. Whereas a prediction interval evaluates the uncertainty on a single observation approximated from the population. Prediction intervals provide a way to evaluate and communicate the ambiguity in a prediction. They are different from confidence intervals that instead explore to evaluate the uncertainty in a population param...

The implementation of artificial intelligence                Artificial Intelligence is an intelligence exhibited by machines without needing any humans. The addition of AI to bot technology opens the door to endless possibilities for human interactions. Brand awareness                 With bots, this is no longer the case. You can create a bot that represents your brand and spreads information relating to it. Bots can be available instantaneously to provide further information to prospective customers. They can not only raise a broader awareness of your product by being implemented in various mediums but are also able to respond to millions of customers at once without the expense of manpower. Intuitive programming                  Intuitive b...

Brain-computer interfaces (BCIs) are seen as a potential means by which severely physically impaired individuals can regain control of their environment, but establishing such an interface is not trivial. Brain-computer interfaces (BCIs) uses the electrical activity in the brain to control an object, usage has seen grown in people with high spinal cord injuries, for communication, mobility, and daily activities. The electrical activity is detected at one or more points of the surface of the skull, using non-invasive electroencephalographic electrodes, and fed through a computer program that, over time, improves its responsiveness and accuracy through learning. As machine learning algorithms became faster and additional powerful, researchers have mostly targeted on increasing decryption performance by characteristic optimum pattern recognition algorithms. To test this hypothesis, researchers listed two subjects, each tetraplegic adult men, for the session/training with a...