In the news | AP News
AI and satellites help aid workers respond to Myanmar earthquake damage
Just after sunrise on Saturday, a satellite set its long-range camera on the city of Mandalay in Myanmar, not far from the epicenter of Friday’s 7.7 magnitude earthquake that devastated the Southeast Asian country’s second-largest city. The mission was to capture images that,…
In the news | Github Blog
GPT-4o Copilot: Your new code completion model is now generally available
The GPT-4o Copilot model released in preview last month and updated this month now provides code completions for all Copilot users. This model delivers higher quality suggestions and improved latency.
人工智能评测新范式：解锁AI性能的可解释力与预测力
作者：周乐鑫 随着人工智能的快速发展，通用型人工智能（如大语言模型）在诸多领域都表现出色，包括可以解决复杂的数学问题，但由于其存在不可解释性以及不可预测性，所以在基础算术等简单任务上仍可能出现失误。这对人工智能的评估提出了重大挑战——亟需发展可解释与可预测的评估方法，以明确系统失败的原因，并指导进行可靠部署。然而，目前尚无可以同时满足这两点要求的评估范式。 传统以性能为导向的评估方法在个体任务实例...
Research Focus: Week of March 24, 2025
In this issue, we examine a new conversation segmentation method that delivers more coherent and personalized agent conversation, and we review efforts to improve MLLMs’ understanding of geologic maps. Check out the latest research and other updates.
In the news | Microsoft Source EMEA
Nuclear fusion: Delivering on the promise of carbon‑free power with the help of AI
ITER, the world’s largest nuclear fusion plant is under construction. Fusion has the potential to be a new source of affordable, carbon-free energy. And now ITER and Microsoft Research have signed a memorandum of understanding regarding a potential research collaboration,…
In the news | Microsoft Source EMEA
Nuclear fusion: Delivering on the promise of carbon‑free power with the help of AI
ITER, home to the world's largest fusion experiment, and Microsoft Research have signed a memorandum of understanding regarding a potential research collaboration, particularly on issues involved in modeling future experiments.
TimeDP：创新时间序列生成模型，突破跨领域应用局限性
人工智能技术的持续演进，让时间序列数据在众多领域中的应用价值愈发凸显，尤其是在医疗健康、金融市场、气象预测和交通管理等行业。时间序列生成技术不仅可以弥补数据的不足，还能在无实际风险的环境中进行模拟和预测，因此具有重要的实际应用意义。 例如，在医疗领域，生成高质量的时间序列数据可以在保护隐私的前提下，帮助解决数据的稀缺问题，为疾病预测、个性化治疗等提供更加丰富的数据支持。金融行业则可以利用生成的市场...
Astronomy, born from humanity’s innate curiosity about the stars, has long been a catalyst for revolutionary discoveries. As AI technology advances, intelligent agents powered by large language models (LLMs) are opening up opportunities for astronomers to explore the universe more…
