As countries shift towards renewable energy like wind and solar power, understanding how climate change will affect these energy sources becomes crucial. Climate change brings extreme weather events, making it hard for energy planners to predict future energy needs....

MIT CSAIL researchers introduced MAIA (Multimodal Automated Interpretability Agent) to address the challenge of understanding neural models, especially in computer vision, where interpreting the behavior of complex models is essential for improving accuracy and...

The increasing complexity of AI systems, particularly with the rise of opaque models like Deep Neural Networks (DNNs), has highlighted the need for transparency in decision-making processes. As black-box models become more prevalent, stakeholders in AI demand...

Automation in modern industries often involves repetitive tasks, but the challenge arises when tasks require flexibility and spontaneous decision-making. Traditional robotic process automation (RPA) systems are designed for static, routine activities, falling short...

In this interview, we feature Srikanth Kaja, the General Manager of the Mercedes-Benz Centre of Excellence for Web3, as he shares his journey and insights into pioneering decentralized solutions. From his initial foray into Web3 and data analytics to shaping the...

Gene editing is a rapidly evolving field with profound implications for agriculture, biotechnology, and medicine. One of the most promising tools in this arena is the CRISPR-Cas system, originally derived from bacterial immune defence mechanisms. This technology...