Featured
AI for inclusive growth: Leadership lessons from Davos
What are the practical ways to ensure AI expands opportunity, strengthens resilience and supports a more inclusive, equitable future?
Top stories
All content
Personal AI is set to shape a transformative and tailored future
Learn more
With an increasing focus on creating a circular economy, computer vision systems are helping segregate tons of wastes that can be reused, recycled and repurposed
Learn more
Generative AI is disrupting the status quo and driving rapid adoption in business and consumer landscapes
Learn more
The rise of publicly available AI tools has also led to the rise of AI-related cybercrimes and an increase the effectiveness of scams
Learn more
AI regulations must be prioritized by governments and organizations
Learn more
Amid the meteoric rise of ChatGPT, AI has been quietly driving a revolution in the healthcare industry
Learn more
Here are the latest stories on artificial intelligence in the news
Learn more
New analysis has found that job postings seeking generative AI skills are at an all-time high as US companies shift to accommodate the newest technology trend
Learn more
From job skills to new roles, AI is now seen as the next great disruptor
Learn more
Every industry is increasingly being impacted by artificial intelligence. This podcast explores the meteoric rise of AI, along with the risks and opportunities that have emerged. During the discussion
Listen Now
Considered the ‘godfather’ of AI, Dr Geoffrey Hinton has recently warned of the dangers awaiting in the future, but there are reasons to be optimistic when it comes to AI
Learn more
Generative AI has been a hot-button issue for the executive and legislative branches of the US government. Now, concerns over artificial intelligence (AI) are evolving into action by policymakers
Learn moreTrending questions
The term "artificial intelligence" was coined by John McCarthy in 1956. Alan Mathison Turing, followed by Newell, Simon, McCarthy and Minsky, are key figures in AI development. Newell and Simon's 1956 "Logic Theorist" program marked a milestone. These pioneers, known as the founding fathers of AI, significantly advanced the field.
- Increased productivity
- Increased automation
- Smart decision-making
- Solve complex problems
- Managing repetitive tasks
- Strengthens economy
- Personalization
- Disaster management
- Enhances lifestyle
- Global defense
Machine learning is the brain of AI that emulates logical decision-making based on the data fed to it and an AI model is the creation, training and deployment of the ML algorithms. With advancements in intelligence methodologies, AI models support in tandem with real-time analytics, predictive analytics and augmented analytics using natural language processing (NLP), ML, statistical analysis and algorithmic execution.
Loaded with human capabilities and beyond, the importance of artificial intelligence (AI) is rising and gradually spreading to various industries, making way for new possibilities and better efficiencies. Data in today’s world is an asset and valued across industries. With AI, humans are now able to absorb, interpret and make complex decisions.
While artificial intelligence is a system that mimics or imitates human intelligence, machine learning is the brain that helps it work.
Generative AI refers to a subset of artificial intelligence algorithms and models designed to generate new data that resembles existing data. These sophisticated algorithms can create content in various forms, such as text, images, music and even complex structures like designs and models. Generative AI is primarily powered by advances in neural networks, particularly Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
Subscribe to the HCLTech Newsletter
for our latest news and insights