微软亚洲研究院多项创新技术，弥合大模型低比特量化与终端部署间鸿沟
编者按：在人工智能领域，模型参数的增多往往意味着性能的提升。但随着模型规模的扩大，其对终端设备的算力与内存需求也日益增加。低比特量化技术，由于可以大幅降低存储和计算成本并提升推理效率，已成为实现大模型在资源受限设备上高效运行的关键技术之一。然而，如果硬件设备不支持低比特量化后的数据模式，那么低比特量化的优势将无法发挥。 为了解决这一问题，微软亚洲研究院推出了全新的数据编译器 Ladder 和算法...
In the news | MIT Technology Review
How to fine-tune AI for prosperity
Artificial intelligence could put us on the path to a booming economic future, but getting there will take some serious course corrections. When Chad Syverson loads the US Bureau of Labor Statistics website these days looking for the latest data…
In the news | MIT News
3 Questions: How to prove humanity online
AI agents could soon become indistinguishable from humans online. Could “personhood credentials” protect people against digital imposters? As artificial intelligence agents become more advanced, it could become increasingly difficult to distinguish between AI-powered users and real humans on the internet.…
In the news | Science
To reduce wildlife deaths caused by fences, scientists are turning to AI
As many as 1 million kilometers of fence may crisscross the western United States, enough to stretch to the Moon and back. Erected over the past century, largely to contain livestock, the barbed and woven wire fences also hinder wildlife such as…
Abstracts: August 15, 2024
| Amber Tingle, Shrey Jain, and Zoë Hitzig
Advanced AI may make it easier for bad actors to deceive others online. A multidisciplinary research team is exploring one solution: a credential that allows people to show they’re not bots without sharing identifying information. Shrey Jain and Zoë Hitzig…
In the news | Technology Review
Happy birthday, baby! What the future holds for those born today
An intelligent digital agent could be a companion for life—and other predictions for the next 125 years. Happy birthday, baby. You have been born into an era of intelligent machines. They have watched over you almost since your conception. They…
Research Focus: Week of August 12, 2024
In this issue: Research Forum Ep. 4 explores multimodal AI. Registration is now open; Surveying developers’ AI needs; SuperBench improves cloud AI infrastructure reliability; Virtual Voices: Exploring factors influencing participation in virtual meetings.
如何理解和探索大模型的多语言能力？
作者：通用人工智能组 编者按：大语言模型在未使用多语言平行语料库进行预训练的情况下，依然表现出了卓越的多语言能力。但大模型如何处理多语言文本的底层机制仍是一个具有挑战性的问题。对此，微软亚洲研究院联合中国人民大学提出了语言激活概率熵，用于识别大模型中的语言特定神经元。该研究为理解和探索大模型的多语言能力提供了重要依据，并被自然语言处理领域的国际顶级学术会议 ACL 2024 收录。 全球共有超过7...
执业医师转型人工智能研究员，王子龙说“跨”才是关键
编者按：生命健康是人类永恒的探索主题，也是医疗工作者不懈追求的使命。迈入全新的人工智能时代，如何让机器学习算法和人工智能大模型助力医疗健康行业发展，是学术界和产业界共同关注的议题。然而，从计算机领域看医学行业，与从医学需求出发寻找技术突破之间必然存在着认知偏差。身为具有执业医师资格的医学博士，微软亚洲研究院（上海）高级研究员王子龙对此有哪些独到的见解？他又将如何在人工智能与医疗健康之间架起创新的桥...