As we stand at the frontier of technological advancements, augmented intelligence emerges not as a replacement for human ingenuity, but as a potent ally that enhances our capabilities.
In the bustling world of artificial intelligence (AI), large language models (LLMs) stand as the vanguard of innovation, promising to revolutionize communication. Yet, as these AI behemoths march forward, a growing concern arises regarding the linguistic divide they may create.
In the wake of the digital revolution, our world has undergone a profound transformation, marked by an insatiable demand for digital services and data. From the surge of the internet era to today's data-driven society, the exponential growth in data usage and storage has cast a looming shadow on global energy consumption.
In the era of data-driven decision-making, businesses are increasingly turning to Artificial Intelligence (AI) to gain insights, streamline processes, and enhance competitiveness. However, as AI systems become more complex and pervasive, the need for transparency and accountability in their decision-making processes has become paramount.
Connected and autonomous vehicles (CAVs) have the potential to disrupt industries and consumer behavior, transforming urban spaces, modes of transportation use, and a significant portion of mobility-related employment. The arrival of CAVs on the market will generate a new world of business and social opportunities that, however, are not free from challenges and threats.