AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models. Might it soon be solved?

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack ...

Sharing a database is the greatest sin when you architect Microservices yet Space-Based Architecture is built around shared data. How do these approaches coexist? Do Microservices make any sense if ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

BEIJING, March 21, 2025 /PRNewswire/ -- Zheng Peng, board chairman and president of Pengfei Group, shared Pengfei Group's "dual carbon" practices of integrating hydrogen energy into the overall ...

LLMs have revolutionized software development by automating coding tasks and bridging the natural language and programming gap. While highly effective for general-purpose programming, they struggle ...

Parallel programming is a method of organising parallel, simultaneous computations within a program. In the traditional sequential model, code is executed step by step, and at any given moment, only ...

Today, deep learning has permeated our daily lives. As the size of models continues to grow, training these models on massive GPU accelerators has become increasingly time-consuming and costly. To ...

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