With the accelerating trend of population ageing and a growing shortage of specialist doctors, enhancing the efficiency and consistency of ophthalmic diagnosis has become a critical challenge for global healthcare systems. A research team of The Hong Kong Polytechnic University (PolyU) has launched the development of a next-generation clinical-grade ophthalmic artificial intelligence (AI) co-pilot system “EyeAgent 2.0”, aiming to construct an intelligent decision support platform with advanced clinical reasoning capabilities to assist doctors in disease diagnostic analysis, treatment planning and follow-up management, thereby improving the quality and efficiency of clinical judgments.

A bird banking in a crosswind doesn’t rely on spinning blades. Its wings flex, twist and respond instantly to its environment.

Engineers at Rutgers University have taken a major step toward building bird-like drones that move the same way, flapping their wings like real birds, using electricity-driven materials instead of conventional electromagnetic motors to power them.

More than 800 middle and high school students gathered at Princeton University for the Build Big Dreams Youth STEM Conference, hosted by the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL).

ECNU Review of Education (ROE) will be attending the American Educational Research Association Annual Meeting 2026, joining the conference’s “Meet the Editors: Journal Talks” series. Organized by the American Educational Research Association, the event brings together global education researchers and faculty members to discuss groundbreaking education research. ROE editors will present the journal’s scope and priorities, discuss publication and peer-review expectations, and engage scholars interested in contributing to international education research dialogue.

Researchers at AIMR engineered cultured neuronal networks with brain-like hierarchical modularity and directional connectivity using microfluidic devices. Integrating experiments with computational modeling, they demonstrated that directional connections suppress excessive synchrony and enhance balanced network dynamics. This platform advances understanding of brain organization and enables applications in drug discovery and brain-inspired biocomputing systems.

University of Tennessee, Knoxville Electrical Engineering and Computer Science associate professor Charles Cao leads UT’s role in HARVEST, an NSF AI‑ENGAGE project building AI-powered “digital twins” of farms. Combining drone, sensor, and satellite data, the system runs real-time and “what-if” simulations to reduce pest losses 20–30% and cut water and fertilizer use 20%, while preserving cross-country data privacy.

At Bigelow Laboratory, we know that the smallest things can have the biggest impact on the ocean ecosystem. A multi-institutional team, led by URI and featuring our researchers, is helping show just how important some of these tiny animals called copepods are for shuttling energy and nutrients across the ocean food web. The team has spent the last several years using advanced laboratory and field methods to understand how the biological communities of the surface and seafloor are connected in the Gulf of Maine and how that relationship — and the larger marine food web — adapts as environmental conditions change. This work is challenging oceanographers' assumptions about how the Gulf of Maine ecosystem works and highlighting the challenges of using historical data to understand our rapidly changing future.

A team of Korean researchers has developed the world’s first technology that can freely connect and disconnect core computing resources such as memory and accelerators with “light” in next-generation artificial intelligence (AI) datacenters. Electronics and Telecommunications Research Institute (ETRI) announced the development of a new optical switch based datacenter resource interconnection technology (Optical Disaggregation, OD). This technology is regarded as a core next-generation optical network technology that is designed to resolve the shortage of computing resources due to the increasing AI services and that enables faster and more efficient operation of future datacenters.

Combining data from ancient rocks with computer modelling shows big changes in Earth’s carbon cycle were linked to rising oxygen levels