{"id":1127220,"date":"2025-02-21T03:05:04","date_gmt":"2025-02-21T11:05:04","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=1127220"},"modified":"2025-06-18T11:40:12","modified_gmt":"2025-06-18T18:40:12","slug":"reme","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/reme\/","title":{"rendered":"ReMe: A Cognitive Training Framework"},"content":{"rendered":"
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ReMe<\/h1>\n\n\n\n

A Cognitive Training Framework<\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n

With the emergence of new capabilities in ambient sensing technology and Large Language Models, we were inspired to create ReMe<\/strong>, a personalized cognitive training framework designed to create AI chatbots that facilitate personalized cognitive training. It has the potential to be highly beneficial in the area of cognitive health, such as in the prevention and early intervention of Alzheimer’s disease.<\/p>\n\n\n\n

For more details, read our tech report here (opens in new tab)<\/span><\/a>.<\/p>\n\n\n\n

The framework has been open-sourced. Please find details here (opens in new tab)<\/span><\/a>.<\/p>\n\n\n\n

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Framework Overview<\/h2>\n\n\n\n
\"Framework<\/figure>\n\n\n\n
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Training Case: Life Recall<\/h2>\n<\/div>\n\n\n\n
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Training Case: Word Guess<\/h2>\n<\/div>\n<\/div>\n\n\n\n
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\"Training<\/figure>\n<\/div>\n<\/div>\n\n\n","protected":false},"excerpt":{"rendered":"

A Cognitive Training Framework With the emergence of new capabilities in ambient sensing technology and Large Language Models, we were inspired to create ReMe, a personalized cognitive training framework designed to create AI chatbots that facilitate personalized cognitive training. It has the potential to be highly beneficial in the area of cognitive health, such as […]<\/p>\n","protected":false},"featured_media":1128591,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-1127220","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[1142527],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Zilong Wang","user_id":43764,"people_section":"Related people","alias":"wangzilong"},{"type":"user_nicename","display_name":"Nan Chen","user_id":42033,"people_section":"Related people","alias":"nanchen"},{"type":"user_nicename","display_name":"Yang Ou","user_id":37742,"people_section":"Related people","alias":"yaou"},{"type":"user_nicename","display_name":"Luna K. Qiu","user_id":41353,"people_section":"Related people","alias":"lunaqiu"},{"type":"user_nicename","display_name":"Shiqi Jiang","user_id":40675,"people_section":"Related people","alias":"shijiang"}],"msr_research_lab":[199560],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1127220","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":21,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1127220\/revisions"}],"predecessor-version":[{"id":1142530,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1127220\/revisions\/1142530"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/1128591"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1127220"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1127220"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1127220"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1127220"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=1127220"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}