Chunmei Mei Zhao, Chief Education Solutions Officer for Stanford Global and Online Education at Stanford University, was interviewed at the ITU Digital Skills Forum.

This core global event

Chunmei Mei Zhao, Chief Education Solutions Officer for Stanford Global and Online Education at Stanford University, was interviewed at the ITU Digital Skills Forum.

This core global event gathers ITU members and stakeholders to discuss critical needs for achieving universal digital skills and closing the global digital skills gap.

The forum took place in Manama, Bahrain, from September 17-19, 2024.

The number of Black farmers has dramatically declined over the last century, a trend significantly hastened by the USDA's racist lending practices.

Attorney J.L. Chestnut, chief counsel

The number of Black farmers has dramatically declined over the last century, a trend significantly hastened by the USDA's racist lending practices.

Attorney J.L. Chestnut, chief counsel for the Black Farmers class-action lawsuit against the USDA, secured the largest civil rights settlement in U.S. history. This landmark victory opened the door for restitution for Native American, women, and Hispanic farmers.

Full video: https://www.youtube.com/watch?v=HHwyZuzznG0

At a recent CSO Forum, Chief Sustainability Officers from diverse sectors discussed the vital role of universities.

They emphasized how academic institutions provide essential leadership

At a recent CSO Forum, Chief Sustainability Officers from diverse sectors discussed the vital role of universities.

They emphasized how academic institutions provide essential leadership for a sustainable future.

At a recent CSO Forum, Chief Sustainability Officers from diverse sectors discussed the pivotal role of universities.

They emphasized how academic institutions are crucial in providing

At a recent CSO Forum, Chief Sustainability Officers from diverse sectors discussed the pivotal role of universities.

They emphasized how academic institutions are crucial in providing leadership and driving progress towards a sustainable future.

ML models in mobile apps pose computational and energy challenges. Distributed ML addresses this by distributing loads across network nodes, enabling edge ML and improving privacy.

Yet,

ML models in mobile apps pose computational and energy challenges. Distributed ML addresses this by distributing loads across network nodes, enabling edge ML and improving privacy.

Yet, distributed ML faces hurdles: slower execution from limited node capabilities and high bandwidth consumption for data transfer. This creates a paradox, as it aims for low latency and reduced cloud bandwidth. Carla Fabiana Chiasserini will discuss this paradox and its resolution using dynamic ML structures and compression.

Organized by the ITU Journal on Future and Evolving Technologies (ITU J-FET), this webinar offers free access to research. Explore ITU J-FET: https://itu.int/en/journal/j-fet/ and the webinar series: https://itu.int/en/journal/j-fet/webinars/.