Could the particle that completed the Standard Model actually be hiding a much bigger secret? Physicists have long wondered whether the Higgs boson is just one member of an extended Higgs family. The catch is that testing these ideas requires exploring an enormous space of possibilities, far beyond what conventional methods can efficiently handle. Researchers at IIT Gandhinagar are turning to machine learning methods to accelerate this search, bringing us a step closer to discovering new fundamental particles. 

As nuclear fusion technologies advance toward commercial deployment, University of Maine researchers aim to develop specialized surface acoustic wave resonator microchip sensors capable of tracking temperature; reactor power, or neutron flux; and strain on reactor vessel walls without being damaged or destroyed by extreme heat and radiation. They will be tested under radiation conditions several orders of magnitude more intense than those found in conventional fission reactor systems.
 

Electronics and Telecommunications Research Institute (ETRI) announced that the “Continual and Compositional Knowledge Editing Technology (MemEIC),” jointly developed by the research team led by Director Lim Soo Jong of the Language Intelligence Research Section with Pohang University of Science and Technology and Sungkyunkwan University, was presented at NeurIPS 2025, the world's most prestigious AI conference, and held in San Diego, U.S., late last year.

Housed in the UW School of Pharmacy, the Institute for Innovations in Drug Delivery and Disposition (I2D3) brings together experts in artificial intelligence, drug discovery, pharmacology, data science and biotechnology to ease the bottleneck between promising molecules and successful drugs. 

IITGN researchers have used machine learning to develop a framework that can support the development of tailored rigid pavements in a climate-resilient and region-specific manner in India and the world. The team identified five microzones in the Indian state of Gujarat, showing that its rigid pavements experience different thermal behaviours, challenging the one-size-fits-all approach used in concrete road design. The proposed framework is a smarter approach that could make roads more durable and reduce maintenance costs. 

During the MDPI Toronto Summit 2026, held on 9–10 July 2026, Stefan Tochev, CEO of MDPI, addressed an audience of over 30 leading voices in scholarly publishing, including Editors-in-Chief, Editorial Board Members, distinguished researchers, and institutional representatives from across North America. In this conversation, Stefan reflects on the evolving landscape of academic publishing, the growing role of Open Access, the importance of research integrity and transparency, and how publishers can strengthen meaningful collaborations with researchers and institutions to advance the future of scholarly communication.