Browse the latest artificial intelligence articles, tutorials, and research from Global Tech Council.(223 articles)
In real life, we may encounter situations that are not easy to deal with, and there’s no definite answer to them. We have written this post with the help of Artificial Intelligence experts; let’s have a look at how Fuzzy Logic describes such situations in Artificial Intelligence. Learning Of Blog…
From Alexa to self-driving cars, Artificial Intelligence (AI) is transforming almost every existing industry across the globe. Due to such widespread influence and disruption, companies are gradually integrating their Human Resource practices with Artificial Intelligence. With the advent of online…
Alexa, tell me a story. Hey Siri, set a timer for 10 minutes. Do you think you would be able to achieve all this without the power of artificial intelligence? Digital assistants like Alexa and Google Home have completely transformed the way we access digital landscape. Of course, these agents…
Of course, it is not hard to think about a future where we will have self-driving cars and artificial intelligence-powered robots, who are even better than humans. However, in between this anticipation, we forget that we are already very close to this reality. Artificial intelligence is not a…
Today, artificial intelligence experts need to master multiple programming languages rather than one to effectively execute across various silos. There are so many use cases and more than one solution to every problem. Solving an issue and implementing these use cases requires deep knowledge in…
An AI production system is a rule-based framework used for problem-solving and decision-making. It typically combines a rule base, working memory, and a control or inference mechanism. The system evaluates current facts against IF-THEN rules, selects an applicable rule, executes its action, and repeats the process until a goal or stopping condition is reached. Production systems are commonly associated with expert systems and automated reasoning.
We have heard a lot about AI and its revolution but can AI transcend the future cities or not is still unanswered. This article provides a complete overview of how Artificial Intelligence is predicting and transforming the future for cities. Learning Of Blog Overview Key drivers for…
With the introduction of the Industry 4.0 norms, the digital media has been facing rapid disruptions in terms of the introduction of new artificial intelligence algorithms also sometimes referred to as machine learning, the Internet of Things, etc. A large number of millennials are increasingly…
Technology plays a central role in modern business by improving productivity, automating operations, supporting data-driven decisions, strengthening cybersecurity, and enhancing customer experiences. Technologies such as AI, cloud computing, data analytics, digital platforms, and automation also help companies develop new products, adapt business models, and compete more effectively. Current research shows leading organizations increasingly align technology strategy directly with business growth and operating models.
In the past decade, we have observed a huge shift in the way healthcare handles its data. Traditionally, piles of files and documents were physically stored by every healthcare provider as well as patients. However, now, there’s digitization which helps in storing data in systems digitally. Better…
Artificial intelligence and machine learning have transformed Amazon Alexa from a command-based voice assistant into the more conversational and capable Alexa+. Generative AI and large language models help Alexa understand natural conversations, remember context, personalize responses, connect with services, control smart-home devices, and complete multi-step tasks. Amazon says Alexa+ uses multiple LLMs, API orchestration, grounding, and agentic AI capabilities to improve accuracy and usefulness.
The best way to learn artificial intelligence is to follow a structured path rather than collecting random tutorials like digital souvenirs. Start with AI fundamentals, Python, statistics, and data handling, then progress to machine learning, deep learning, generative AI, LLMs, and AI agents. Reinforce each stage by building practical projects and a portfolio.