Search results for Microsoft Research
AI & Enterprise
KAIST develops AI system to diagnose time reasoning errors using database
KAIST said on Monday a research team led by professor Eui-jong Hwang developed a system that automatically evaluates and diagnoses large language models\' time reasoning, in joint research with Microsoft Research. The team introduced temporal database design theory to AI evaluation, enabling a database to automatically generate 13 types of complex time-based questions and automate the process from answer derivation to verification. It also introduced a metric to validate dates and periods, improving detection of temporal hallucinations by 21.7 percent on average.
AI & Enterprise
KT AI papers listed at top global conferences, strengthens practical AI leadership
KT is strengthening what it calls practical AI competitiveness by applying its AI research results to actual services and linking technology with business. KT said it is reflecting secured technologies in major AI models and platforms such as \"Mi:um K\" and \"Agentic Fabric\" to deliver commercialisation results. Over the past 5 years, KT published 148 AI papers, including 49 listed at top global conferences. It is also expanding industry-academia research with major universities.
AI & Enterprise
Microsoft expands into physical AI, unveils first robotics model Rho-alpha
Microsoft has unveiled Rho-alpha, a physical AI robotics model built on its Phi series vision-language models. It aims to help physical systems adapt more flexibly. The company said vision-language-action models can support robots to perceive, reason and act autonomously with humans in less structured environments. Rho-alpha converts natural-language commands into control signals for bimanual manipulation and expands sensing and learning. Microsoft is also launching an early access program for partners.