Frontier models such as OpenAI's GPT depend mostly on increasing computing power rather than smarter algorithms, according to a new MIT report. Here's why that matters.

Currently, digital transformation has become the core proposition of global industrial upgrading, and the manufacturing industry is also undergoing a disruptive ...

As artificial intelligence continues to reshape industries at an unprecedented pace, venture capitalists face a critical ...

Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...

Abstract: Quantum computing, a transformative field that emerged from quantum mechanics and computer science, has gained immense attention for its potential to revolutionize computation. This paper ...