This seminar was hosted by Microsoft Research Africa, Nairobi together with the Microsoft AI for Good team in July 2024. Knowing where people live is critical for urban planning, disaster management, and more broadly, for informing public policies. Unfortunately, in many countries, especially in the…
The LLMJudge challenge is organized as part of the LLM4Eval workshop at SIGIR 2024. Test collections are essential for evaluating information retrieval (IR) systems. The evaluation and tuning of a search system is largely based on relevance labels, which indicate whether a document is useful…
Microsoft researchers collaborated to release new pathology foundation models. Their report shows models benefit from diverse data, increased model size, and specialized algorithms to enhance the accuracy and applicability of cancer diagnosis and treatment.
AgriAdvisor is a pilot demo created in collaboration with TomorrowNow.org, Tomorrow.io and Kenya Agriculture and Livestock Research Organisation (KALRO). This AI copilot provides small-scale farmers with real-time, reliable weather and agronomic guidance that can help them improve on their on-farm decision making. AgriAdvisor leverages generative…
Researcher Brendan Lucier and professor Mert Demirer are applying their micro- and macroeconomic expertise, respectively, to forecasting the economic impact of AI. They share how they’re using a task-level breakdown of occupations to help predict the future.
As AI chips incorporate numerous parallelized cores to scale deep learning (DL) computing, inter-core communication is enabled recently by employing high-bandwidth and low-latency interconnect links on the chip (e.g., Graphcore IPU). It allows each core to directly access the fast scratchpad memory in other cores,…
This video is a screen recording of a user playing Minecraft and collaborating with two LLM-driven non-player characters to complete a quest.
This video is a screen recording of a user playing Minecraft and collaborating with two LLM-driven non-player characters to complete a quest.
This video is a screen recording of a user playing Minecraft and collaborating with two LLM-driven non-player characters to complete a quest.
This video is a screen recording of a user playing Minecraft and collaborating with two LLM-driven non-player characters to complete a quest.
This video is a screen recording of a user playing Minecraft and collaborating with two LLM-driven non-player characters to complete a quest.
This video is a screen recording of a user playing Minecraft and collaborating with two LLM-driven non-player characters to complete a quest.
