Category: Artificial Intelligence

Artificial Intelligence –The Technology Transformation Has Just Begun

We have seen driverless cars (not a Future Technology any more), voice automation in homes, and a lot more changes that clearly reflect how artificial intelligence has progressed rapidly and is a lot more than just a concept from our favorite sci-fi movies and books. With the outbreak of the pandemic, AI’s future is arriving much faster than the predictions. According to research scientists, Artificial Intelligence will be better than humans at translating languages by 2024..

2018 Year of Intelligence Augmentation

Intelligence Augmentation – Powerful or Dangerous

The start of the year 2021 came with lots of expectations that should bring huge advancement in the AI field. Now there has been a significant shift in perspective. AI appears to be gradually infiltrating various facets of our everyday existence.

2021 The Year of Transformers – Deep Learning

Transformers are a type of neural network architecture that has gained significant popularity due to their unwavering dedication to achieving optimal results in completing assigned tasks. Deep learning, which is widely recognized as a powerful tool, has significantly transformed the way we operate, proving to be both a lifesaver and a solution to disaster. Big players like OpenAI and DeepMind employ Transformers in their AlphaStar applications. …

Real-Time AI Powered Trends Business Can’t Survive Without in 2021

AI is getting more and more prominent across industries which is a plus point to move away from hype. It was once over-hyped for marketers, but now it’s the most powerful tools to automate their day-to-day operations. According to McKinsey, the AI industry is expecting to have more than $2.6 trillion worth of business in sales and online marketing.  As most of the companies will seek an enhanced customer experience for their end-users, there will be tough competition against each other for a more stable future. Here are the top 5 AI-powered tools that businesses can’t sustain without in 2021.

Neural Networks vs Deep Learning

Deep Learning Vs Neural Networks – Demystifying the Differences

Deep learning, also called a subset of machine learning which is a specialist with an extremely complex skillset in order to achieve far better results from the same data set. It purely on the basis of NI (Natural Intelligence) mechanics of the biological neuron system. It has a complex skill set because of methods it uses for training i.e. learning in deep learning is based on “learning data representations” rather than “task-specific algorithms.”

Deep Learning – Driving the Innovation in NLP

Natural language processing, one of the most important technologies of today’s information age. It’s everywhere and used on almost at every instance in daily life like emails, machine translation, google search, virtual agents etc. In recent times deep learning has obtaining too much attraction and respect from the industry which helps nlp to avoid traditional, task-specific feature engineering. The performance across many different NLP tasks, using single end-to-end neural model has achieved significant improvement.

Boltzmann Machines

Deep Learning – Introduction to Boltzmann Machines

The Boltzmann machine, a type of stochastic spin-glass model with an external field, has been subject to various nomenclatures including the Sherrington-Kirkpatrick model with an external field and the Ising-Lenz-Little model. The present work provides a demonstration of a deviation from the conventional Sherrington-Kirkpatrick model, which pertains to the realm of stochastic Ising models.

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.


Role of Convolutional Layer in Convolutional Neural Networks

The indispensable feature of convolutional neural networks, also denoted as CNNs, is the convolutional layer, which is commonly perceived as the pivotal and fundamental component that confers CNNs their appellation. The current layer is engaged in conducting a computational procedure commonly known as a “convolution”. After the successful initialization of all variables and assigning them with random values, the image of a deer is utilized with specific parameters..

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.

2020 The Year of Emerging Technologies

The year 2020 will be remembered as a significant period in human history due to its remarkable strides in progressive innovation, more commonly referred to as “Emerging Technologies.” In this modern era, industrial and business practitioners are expected to establish robust foundational structures for the integration of SMAC (Social, Mobile, Analytics, and Cloud) architecture. It is projected that the prevalence of selection will attain its apex during the decade spanning from 2010 to 2020. The implementation of computerized transformation is of paramount significance for any entity, unless SMAC technology is integrated.

Data Revolution – Performing Analytics at The Edge

We have tons of data and it’s increasing every second and millions of tools but how to harness the power of modern data and related delivery tools, is still a question. It’s even more difficult now in the era of GDPR or similar regulations. Reducing the cost and simplifying data intelligence infrastructure going to be our next biggest challenge at least for the year 2020. Few questions at hand like below

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How AI Is Transforming Fintech For Betterment

The financial technology sector persistently advances and enthusiastically adopts new technologies in order to enhance its self-development. The integration of financial technology with human transformation-capable technologies has precipitated significant progress, extensive adoption, and considerable accolades. Machine learning is the hot new thing that’s shaking things up, and it’s all thanks to artificial intelligence.

DATA – Blue Ocean Shift Strategy (Boss)

BOSS – Blue Ocean Shift Strategy can actually help and create vision to focus on areas such as AI, blockchain for education, health & agriculture, create ecosystems using BigData analytics and IoT. To capture a quick snapshot of this strategy, certainly, Big Data appears to be most effective and efficient driver for Blue Ocean Strategy. Based on a limited set….

Supervised vs Unsupervised Machine Learning

Supervised vs Unsupervised Learning – Both of them are very popular machine learning algorithms currently in use. Supervised learning is all about labelled data where its algorithm does reverse engineering work as compared to traditional programs i.e. it predicts/maps the output to the input data. Unsupervised is all about hidden patterns and structures from unlabeled data.