This has been a year of incredible progress in the field of Artificial Intelligence (AI) research and its practical applications.
Hype is everywhere, skeptics say, and practical applications are still far away
Google and startup Quantinuum performed breakthrough experiments in quantum computing. Conflicting views of the results’ significance show the challenges of making quantum computers practical.
At its Quantum Summit 2023, IBM announced the launch of its new quantum devices and showcased its commitment to the future of quantum computing.
Moore Threads, a US-sanctioned Chinese chip start-up, has introduced a new graphics card and a GPU-based computing hub for AI training. The company aims to meet China's growing demand for large language model training with its KUAE Intelligent Computing Centre. Moore Threads has faced challenges due to US export controls and has struggled to find wafer foundries and access US electronic design automation software. However, the company remains sought after, with Baidu, ByteDance, Tencent Holdings, and Alibaba Group Holding among the buyers of Nvidia GPUs.
The COP28 Conference in Dubai has already unveiled several declarations that underscore the disastrous consequences of climate change and galvanize global initiatives to keep a resilient future within reach. Though laudable, these declarations are ultimately futile if countries fail to successfully implement them. If countries are serious about meeting their climate commitments, they should get serious about quantum computing, a potentially game-changing technology that could support implementation and drive breakthrough climate innovations.
Moore Threads has revealed its latest GPU, the S4000, which marks a significant improvement over its previous S2000 and S3000 models. The S4000 boasts superior performance, more memory capacity, and increased memory bandwidth. It also features the second generation of Moore Threads' Unified System Architecture (MUSA), unlike its predecessors. While the S4000 may not match up to Nvidia's latest offerings, it excels in memory capacity and bandwidth, making it suitable for AI and large language model workloads.
IBM will acquire Software AG's enterprise integration platforms for $2.33 billion to strengthen its AI and cloud computing capabilities.