Tag: Artificial Intelligence
The Science and Methodology Behind Social Engineering
Social engineering now has the ability to meet the needs of the dark world at a rapid pace. Over the last few years, we have witnessed an unprecedented change in how the world interacts with the internet and how fraud occurs. This change has been led by the ability to take and make phishing at an unprecedented speed and scale.
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Everything You Ever Wanted to Know About Artificial Intelligence
Artificial Intelligence is all about making machines smarter so that they can act and think like humans. Just look at the popularity of devices like smartphones, and smart fitness trackers to see how wholeheartedly consumers embrace products and services that can make their life smarter, easier, and more streamlined.
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Top 5 Deep Learning Applications on Social Media For Businesses
Deep Learning – “It is undeniably mind-blowing” machine learning technique that teaches computers to do what comes naturally to humans: learn by example. It can […]
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Banks Reinventing Banking with Powerful AI
In the bank-led financial sector, banks should prioritize customer-centric practices, financial inclusivity, and enhancing infrastructure to better serve customers through agents, merchants, billers, and remittance partner networks. However, regrettably, this does not seem to be a top priority for them. Banks prioritize high-value transactions over those with just a few dollars.
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Artificial Intelligence – Some Basic Pointers
The current form of artificial intelligence is purely preliminary software. Scientists believe that this technology is still in the beginning stages, and further developments can have the capacity for changing the world. The current technology or weak AI can easily surpass human capabilities, while its more advanced forms have the power to make human workers obsolete.
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Artificial Neural Networks – Debunking The Myth
ANNs are an emerging discipline and they are the subject of research, study, and emulation for the information-processing capabilities of neurons of the human brain. Sadly many researchers are too quick and pivot the “Human Brain and ANNs” under one pin tip which is causing & creating huge confusion for newcomers. Their point in forms of discovery is entirely different though.
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Augmented Reality and Artificial Intelligence – How will They Build our Future?
Augmented reality – The buzzword of today’s time with great hype. This jargon is of choice and excitement to almost everyone i.e. either a tech enthusiast or even nontech people with a little bit of interest in information technology. There has been a substantial boom in augmented reality in the past five years. Mainly because it allows consumers to visualize a product they like in a 3D environment. As a result, you, as a consumer, get to know more about the product you are looking for and can decide whether to buy it or move on to next.
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Digital Wallets and Security – Payments Landscape
If sensitive data is left unprotected, it can result in severe consequences for the service provider’s business, including financial fraud, violations of legal regulations, penalties from the regulators, loss of consumer trust, and identity theft etc. By implementing security measures at the hardware level, a payment processing application can become more resilient to attacks. This effectively secures against malicious attempts prior to reaching the actual application layer.
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Fintech Amalgamating Powerful Artificial Intelligence
FinTech is known through the help of AI that, in one way or another how to make money. The application of any computer-enabled algorithm that can be applied against a data set to find a pattern in the data. Because of this, new wild and flashy AI systems that are making FinTech ‘s smart systems smarter and can help them to fly.
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How Neural Network Algorithms Works : An Overview
Artificial neural networks are a type of computing model that takes inspiration from the structure and function of the neural networks found in the human brain. Nevertheless, machine learning has yet to attain authentic biological accuracy, given the present level of implementation and utilization. The process entails receiving multiple inputs and generating a single output.
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Machine Learning – Introduction to Reinforcement Learning
Reinforcement learning is closely related to dynamic programming approaches to Markov decision processes (MDP). MDP solve a partially observable problem. POMDPs received a lot of attention in the reinforcement learning community. As its a process of discrete-time stochastic control to provide a mathematical framework for decision-making modelling.
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Deep Learning (DL) – Introduction to Basics
AILabPage defines Deep learning is “Undeniably a mind-blowing synchronisation technique applied on data with computing power, skills and experience which practically has no limits“.
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The Ultimate Intuitive Guide to FinTech Intelligence
AILabPage define FinTech as “Technology applied to automate, speedup and secure financial system with its own standards chiefly used by financial institutions”. Financial institution here can be Bank, FinTech services company or mobile financial services provided.
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Artificial Intelligence is the Future for CyberSecurity
The Appeal of AI for Cyber Security has extremely good reasons like automation of operational tasks, develop & delivering predictive capabilities, mitigating human biases behaviour and derive actionable intelligence. On the down side AI requires high volumes of high quality data to learn.
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Uncovering Anxious Deep Learning for Ease
A technique for implementing machine learning. At the same time I also claim It is absolutely wrong to call Deep Learning as Machine Learning (in my personal opinion). The techniques is to achieve a goal not necessarily come out of same goal. #AILabPage
