Personal tools

AI Applications and Techniques

(Photo: Princeton University, Office of Communications)

Artificial Intelligence: Fueling the Next Wave of the Digital Era


- Overview

Everyone has heard about new advances in artificial intelligence (AI), especially machine learning. You've also heard utopian or apocalyptic predictions about what these advances will mean. They were thought to herald either immortality or the end of the world, and much has been written about both possibilities. 

But the most sophisticated AIs are still far from solving problems that a human four-year-old can do with ease. Despite its impressive name, artificial intelligence consists primarily of techniques for detecting statistical patterns in large data sets. Humans still have a lot to learn. 

Back in 2015, an MIT study showed that AI systems had an IQ equivalent to that of a four-year-old child. In 2016, AlphaGo defeated 18-time Go world champion Lee Sedol in a stunning victory. In 2019, an AI program developed by Carnegie Mellon University and Facebook AI defeated world-class pros in six-player no-limit hold'em. In the same year, the AI-powered AlphaStar ranked in the top 0.2% of human StarCraft players (the rules of StarCraft are more complex than those of Go). 

Well, this "kid" must have grown fast - so, what's next? 

Please refer to the following for more information:


- Current AI Applications

Artificial Intelligence (AI) was coined in 1955 to introduce a new discipline of computer science. It is rapidly and radically changing the various areas of our daily lives as the market for AI technologies is demanding and flourishing. There is a significant race between many start-ups and Internet giants to acquire them. 

Following list are latest Hot AI technologies that one should know:  

  • Natural Language Generation
  • Speech Recognition
  • Machine Learning Platforms
  • Virtual Agents
  • Decision Management
  • Generative AI
  • AI Optimized Hardware
  • Deep Learning Platforms
  • Robotic Process Automation
  • Text Analytics and Natural Language Processing (NLP)
  • Bio-metrics
  • Cyber Defense
  • Content Creation
  • Emotion Recognition
  • Image Recognition
  • Marketing Automation
  • and more ...


San Rossore National Park_Italy_082221A
[San Rossore National Park, Italy]

- Generative AI and Large Language Models

Generative artificial intelligence (AI) describes algorithms (such as ChatGPT) that can be used to create new content, including audio, code, images, text, simulations, and video. Recent new breakthroughs in this field have the potential to revolutionize the way we approach content creation. Generative AI systems fall under the broad category of machine learning. 

Large language models (LLMs) represent a major advance in AI, promising to transform the field through learned knowledge. LLMs have grown in size by a factor of 10 per year over the past few years, and as these models have grown in complexity and size, so have their capabilities. However, LLM is difficult to develop and maintain, making LLM inaccessible to most businesses.

Generative AI based on Large Language Models (LLMs) and Transformer Neural Networks has definitely attracted a lot of attention. Unlike the hype cycles of new technologies like the Metaverse, encryption, and Web3, generative AI tools like Stable Diffusion and ChatGPT promise to have a massive, possibly revolutionary impact. These tools have disrupted multiple sectors -- including the film industry -- and have the potential to change the game for enterprise software.

Ready to take your creativity to the next level? Just look at generative AI! This ingenious form of machine learning enables computers to generate all kinds of exciting new content, from music and art to entire virtual worlds. And it’s not just for fun—generative AI has many practical uses, too, such as creating new product designs and optimizing business processes.



[More to come ...]

Document Actions