In recent advancements in AI technology, researchers at Carnegie Mellon University (CMU) have introduced an innovative AI framework known as TNNGen, which is designed to automate the development of Temporal Neural Networks (TNNs) for Neuromorphic Sensory Processing Units (NSPUs). The laborious
Meta has embarked on a comprehensive initiative to convert its entire Android codebase from Java to Kotlin. This complex transformation, which spans several million lines of code, aims to maximize developer productivity and enhance null safety. The transition, prioritized after developers expressed
Agentic AI systems, by enabling sophisticated workflows through the collaboration of multiple specialized agents, have revolutionized various industries. These systems enhance efficiency in sectors like market research, healthcare, and enterprise management by automating decision-making and
Artificial intelligence has been pushing the boundaries of problem-solving and decision-making, particularly in fields that demand high accuracy and efficiency. However, traditional reasoning methods like Chain-of-Thought (CoT) prompting have struggled to keep up, often falling short on speed and
Angular is a widely used front-end JavaScript framework popular for its role in building dynamic single-page web applications. Due to its increasing popularity in app development, demand for Angular developers is high, making insights into common interview questions valuable for aspiring
The rapid advancement of AI technologies has led to the development of highly sophisticated models like OpenAI’s GPT-3, which boasts 175 billion parameters. Although these models are incredibly powerful, their training requires immense computational power, memory, and energy, making them accessible
