Oregon team of nearly 100 partners awarded NSF Regional Innovation Engine Award, set up to receive up to $160 million to grow state’s semiconductor industry
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This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 3-Nov-2026 13:17 ET (3-Nov-2026 18:17 GMT/UTC)
Nearly half the world's population experiences menopause, yet many of its emotional, cognitive and social impacts may never be discussed during medical appointments. New research out today in JAMA Network Open led by UMD Professor Yulin Hswen highlights these “silent symptoms” by comparing clinical notes that include menopause symptoms with the top Reddit posts in menopause forums.
Using AI-driven materials design, a team of researchers at University of Toronto Engineering has discovered a new set of metal alloys that retain their strength under extreme conditions. The materials are well suited to additive manufacturing, also known as 3D metal printing, and could lead to enhanced, custom-made parts for aerospace, power generation and more.
A new study suggests that the evolution of animals as disparate as salmon, snakes, eagles and elephants isn’t explained only by their external appearance. Instead, diversity and adaptation may be prompted at least in part by factors nestled deep under the surface as a response to species-specific muscular needs.
Solar energy is becoming one of the world’s most important sources of electricity. In Lithuania, the number of solar power plants is also growing rapidly, and the energy they produce is playing an ever more significant role in the country’s energy system. At the same time, however, one of the key challenges is becoming more pronounced: solar power generation remains highly dependent on weather conditions.
In a new ECNU Review of Education article, Yong Zhao proposes the “courageous minority” as a theory of educational change for the age of AI. He argues that AI reveals the obsolescence of conventional schooling, while traditional top-down reform rarely alters its underlying structures. Transformational change can instead begin in protected, locally controlled spaces where educators, students, families, leaders, and community partners build viable alternatives that gradually influence the wider system.
New research from The University of Texas at Arlington suggests that introducing electronic health record training earlier in nurse practitioner programs could help address a significant challenge facing the field—burnout among experienced clinicians who supervise and train future nurse practitioners.