Since the era of film photography, capturing and documenting high-speed dynamic processes has been a longstanding pursuit in science and engineering. With the rise of solid-state imaging technologies such as charge-coupled devices (CCD) and complementary metal-oxide-semiconductor (CMOS) sensors, high-speed imaging has garnered increasing attention and become a cornerstone in fields such as aerospace, industrial inspection, and national defense.

Conventional imaging sensors primarily record two-dimensional (2D) image sequences that lack depth information. In recent years, the rapid progress in optoelectronic technologies has made 3D imaging and sensing one of the most dynamic and critical frontiers in optical metrology and information optics. Among these, Fringe Projection Profilometry (FPP) has emerged as a leading non-contact 3D surface measurement technique due to its high accuracy, flexible encoding, and wide applicability. Nevertheless, conventional structured-light 3D imaging techniques such as FPP always rely on a one-to-one synchronization between pattern projection and image acquisition, fundamentally limiting the system’s temporal resolution to the native frame rate of the imaging sensor. Current methods to increase speed often depend on high-refresh-rate hardware, which significantly increases system complexity and cost. This hardware bottleneck has become a major obstacle in advancing high-speed and ultra-high-speed 3D imaging.

Quantum entanglement, a core concept of quantum mechanics, is a key resource for quantum information science and is widely used in quantum communication, quantum computing, and other fields. However, traditional quantum entanglement is mostly based on a single degree of freedom, which limits the efficiency and capacity of quantum information processing. In recent years, progress has been made in the study of quantum entanglement with multiple degrees of freedom, but it remains challenging to generate and control complex quantum entangled states in a more compact and flexible manner. Metasurfaces, as artificial two-dimensional materials, can precisely control the amplitude, phase, and polarization of light to achieve complex optical functions, offering a new way to manipulate quantum entanglement flexibly. Currently, the potential of metasurfaces in the field of quantum entanglement has not been fully explored.

As the new school year arrives, Pennsylvania teachers are knee-deep in lesson planning while preparing for a major shift: implementing the state's STEELS standards—which emphasize science, technology, engineering, environmental literacy, and sustainability—in time for full integration into K-12 classrooms by the start of the 2025-26 school year. To support educators already stretched for time and resources, especially those new to teaching computer science, Lehigh University is introducing the Lehigh K-12 Computer Science STEELS Toolkit: a suite of flexible, free enrichment activities designed and tested by undergraduate students and partnering teachers at local schools for use in elementary and secondary classrooms.

This September 14-19, at the 12th Heidelberg Laureate Forum (HLF), 200 young researchers in mathematics and computer science will spend a week of scientific exchange with the recipients of the disciplines’ most prestigious prizes: the Abel Prize, ACM A.M. Turing Award, ACM Prize in Computing, Fields Medal, the Nevanlinna Prize as well as its continuation, the IMU Abacus Medal. Below are a few highlights of the upcoming program of the HLF as well as a breakdown of how to cover this unique event.