Fungi form a complex, vital underground network of mycorrhizal threads, exchanging nutrients and forming symbiotic partnerships essential for life on Earth. Visionary biologists Toby Kiers and

Fungi form a complex, vital underground network of mycorrhizal threads, exchanging nutrients and forming symbiotic partnerships essential for life on Earth. Visionary biologists Toby Kiers and Merlin Sheldrake explore these wonders in an episode of Bioneers' *Nature's Genius* series.

Dr. Kiers is Executive Director and Chief Scientist of SPUN (Society for the Protection of Underground Networks) and a Professor at VU Amsterdam. Dr. Sheldrake, a biologist and writer, is a research associate at Vrije University Amsterdam, works with SPUN, and advises the Fungi Foundation.

Environmental justice addresses critical global concerns: communities worldwide disproportionately face environmental hazards, and the benefits and costs of environmental policies are often

Environmental justice addresses critical global concerns: communities worldwide disproportionately face environmental hazards, and the benefits and costs of environmental policies are often unequally distributed. Learn more about OECD's work on this topic: OECD Environmental Justice.

The Organisation for Economic Co-operation and Development (OECD) is an international body established in 1960. It collaborates to build better policies for prosperity, equality, and well-being. The OECD works with governments to establish evidence-based international standards and find solutions to social, economic, and environmental challenges, serving as a unique forum for data, analysis, and best practices. A related Vidéo en français is also available. For more about the OECD: About the OECD.

Machine Learning (ML) models in mobile applications demand significant computational resources. While distributed ML offers benefits like load distribution and privacy at the network edge, it

Machine Learning (ML) models in mobile applications demand significant computational resources. While distributed ML offers benefits like load distribution and privacy at the network edge, it paradoxically introduces challenges such as slower execution and high bandwidth consumption, hindering low-latency edge services.

This talk addresses this paradox, proposing solutions through dynamic ML model structures and compression techniques. Organized by the ITU Journal on Future and Evolving Technologies (ITU J-FET), this webinar is part of a series covering communications and networking. Explore the ITU J-FET and its webinar series.

Next-generation communication networks, heavily reliant on AI and Machine Learning, confront a critical challenge: balancing transparency, privacy, and performance. These three essential

Next-generation communication networks, heavily reliant on AI and Machine Learning, confront a critical challenge: balancing transparency, privacy, and performance. These three essential objectives often stand in tension; for example, enhancing transparency might reveal sensitive data, while prioritizing privacy could limit data access and impact AI model performance. Achieving a delicate equilibrium is crucial for successful AI system deployment, steering clear of a potential "dark triad."

This webinar, organized by the ITU Journal on Future and Evolving Technologies (ITU J-FET), explores these complex dynamics. The ITU Journal is an international, free-access publication covering fundamental and applied research in communications and networking. Discover the ITU Journal on Future and Evolving Technologies (ITU J-FET) here, and explore the full ITU Journal webinar series programme here.

Ellen MacArthur and Christiana Figueres met with BBC's Sumi Somaskanda at NYC Climate Week to discuss the Global Plastics Treaty. They highlighted this critical opportunity to address plastic

Ellen MacArthur and Christiana Figueres met with BBC's Sumi Somaskanda at NYC Climate Week to discuss the Global Plastics Treaty. They highlighted this critical opportunity to address plastic pollution through a globally coordinated, legally-binding agreement.

Existing solutions and efforts by the Ellen MacArthur Foundation demonstrate the power of collective action. Final UN Global Plastics Treaty negotiations in Busan, Korea, this November offer a chance to establish ambitious, global rules for the entire plastics life cycle, transforming the system and preventing waste. The Foundation promotes a circular economy to eliminate waste and regenerate nature.

Learn more about their work at the Ellen MacArthur Foundation website and YouTube channel, or follow them on social media.

The Global Women’s Assembly for Climate Justice: Path to COP30 and Beyond, hosted virtually by the Women’s Earth and Climate Network (WECAN) from June 23-28, 2025, convened over 125

The Global Women’s Assembly for Climate Justice: Path to COP30 and Beyond, hosted virtually by the Women’s Earth and Climate Network (WECAN) from June 23-28, 2025, convened over 125 grassroots and frontline women leaders, global advocates, and policymakers from 50 countries. This forum featured 25 unique panels showcasing diverse visions, projects, and strategies to accelerate a transformative path to a healthy and just world, with interpretation available in English, Spanish, French, and Portuguese.

Among the key sessions was the panel “Healing Justice in the Climate Crisis: Restoring Mind, Body, and Spirit,” held on June 25th. Panelists included Cara Page (Changing Frequencies, Healing Histories Project, Turtle Island/USA), Zainab Salbi (Daughters for Earth, Turtle Island/USA), Dr. Vivian Tatiana Camacho Hinojosa (Ancestral Traditional Medicine, Bolivia), Nina Simons (Bioneers, Turtle Island/USA), and Daiara Tukano (Indigenous activist and artist, Brazil). Resources shared during this panel and across the entire Assembly are available here.

Challenging the resource-intensive "bigger is better" trend of Large Language Models (LLMs), this webinar introduced the Expressive Neural Network (ENN). This novel architecture rethinks

Challenging the resource-intensive "bigger is better" trend of Large Language Models (LLMs), this webinar introduced the Expressive Neural Network (ENN). This novel architecture rethinks activation functions using classical signal processing (Discrete Cosine Transform), resulting in enhanced flexibility, faster convergence, and significantly smaller, more energy-efficient AI models.

ENNs demonstrate how traditional signal processing can inspire next-generation AI, enabling efficient edge computing in resource-constrained environments. This approach prioritizes expressiveness over sheer size for future neural networks. The webinar featured speaker Ana Pérez-Neira, moderated by Ian F. Akyildiz and Alessia Magliarditi. It was organized by the ITU Journal on Future and Evolving Technologies (ITU-J FET).

"Two American Families: 1991-2024" is a "knockout documentary" (The New York Times) chronicling the economic struggles of two Milwaukee families—one Black, one white—over three decades. From

"Two American Families: 1991-2024" is a "knockout documentary" (The New York Times) chronicling the economic struggles of two Milwaukee families—one Black, one white—over three decades. From 1991 to 2024, the Stanleys and Neumanns have battled poverty amidst a changing U.S. economy, marked by global shifts and lower-wage work, raising unsettling questions about America's economic future.

With profound intimacy, this FRONTLINE film reveals how these families and their now-grown children have navigated six presidential administrations, facing continuous challenges. As Terry Neumann notes, "It's like we haven't come very far," yet Jackie Stanley declares, "I won't give up." Directed by Tom Casciato and Kathleen Hughes, it offers a powerful window into enduring hardship.