Author: Dr. Assad Abbas

Misinformation and conspiracy theories are major challenges in the digital age. While the Internet is a powerful tool for information exchange, it has also become a hotbed for false information. Conspiracy theories, once limited to small groups, now have the power to influence global events and threaten public safety. These theories, often spread through social

The rapid rise of Artificial Intelligence (AI) has transformed numerous sectors, from healthcare and finance to energy management and beyond. However, this growth in AI adoption has resulted in a significant issue of energy consumption. Modern AI models, particularly those based on deep learning and neural networks, are incredibly power-hungry. Training a single large-scale model

Artificial Intelligence (AI) is changing our world incredibly, influencing industries like healthcare, finance, and retail. From recommending products online to diagnosing medical conditions, AI is everywhere. However, there is a growing problem of efficiency that researchers and developers are working hard to solve. As AI models become more complex, they demand more computational power, putting

As Artificial Intelligence (AI) continues to advance, the ability to process and understand long sequences of information is becoming more vital. AI systems are now used for complex tasks like analyzing long documents, keeping up with extended conversations, and processing large amounts of data. However, many current models struggle with long-context reasoning. As inputs get

Artificial Intelligence (AI) has revolutionized how we interact with technology, leading to the rise of virtual assistants, chatbots, and other automated systems capable of handling complex tasks. Despite this progress, even the most advanced AI systems encounter significant limitations known as knowledge gaps. For instance, when one asks a virtual assistant about the latest government

Artificial Intelligence (AI) is transforming the way we create visuals. Text-to-image models make it incredibly easy to generate high-quality images from simple text descriptions. Industries like advertising, entertainment, art, and design already employ these models to explore new creative possibilities. As technology continues to evolve, the opportunities for content creation become even more vast, making

OpenAI is currently facing significant financial challenges. For example, in 2023, it was reported that to maintain its infrastructure and run its flagship product, OpenAI pays around $700,000 per day. However, in 2024, the company’s total spending on inference and training could reach $7 billion, driven by increasing computational demands. This large operational cost highlights

Artificial Intelligence (AI) has come a long way from its early days of basic rule-based systems and simple machine learning algorithms. The world is now entering a new era in AI, driven by the revolutionary concept of open-weight models. Unlike traditional AI models with fixed weights and a narrow focus, open-weight models can adapt dynamically

Translating literary classics like War and Peace into other languages often results in losing the author’s unique style and cultural nuances. Addressing this longstanding challenge in literary translation is essential to preserving the essence of works while making them accessible globally. TransAgents introduces a pioneering approach to machine translation. Using advanced AI technologies, TransAgents maintains

A decade ago, developing Artificial Intelligence (AI) was something only big companies and well-funded research institutions could afford. The necessary hardware, software, and data storage costs were very high. But things have changed a lot since then. It all started in 2012 with AlexNet, a deep learning model that showed the true potential of neural