Researchers have developed a novel platform combining the ASD interrogator (ASDint), a specialized neural network model, and the Synaptic Neuronal Circuit (SyNC), a hardware architecture designed to analyze synaptic dysfunctions associated with Autism Spectrum Disorder (ASD) and related neurological conditions. The system enhances traditional spiking neural networks by incorporating retrograde messenger analysis, enabling more biologically accurate modeling of glutamatergic synapses. SyNC delivers real-time synaptic simulations through GPU-accelerated or ASIC-based hardware, improving computational efficiency and research capabilities. The technology could advance understanding of disease mechanisms, support therapeutic development, and accelerate neuroscience research. As a patent-pending, licensable innovation at TRL 4, it demonstrates early-stage commercialization potential. Improved tools for studying synaptopathies may help researchers develop more effective treatments for ASD and other neurological disorders, potentially improving patient outcomes and quality of life.

This technology enables the direct rescue of segmented negative-sense RNA viruses from complementary DNA (cDNA) in non-cancerous Vero cells, a cell substrate accepted for human vaccine manufacturing. Using triggered endosome escape technology and T7 polymerase-driven expression systems, the method improves the delivery and expression of viral components needed to generate infectious viruses from cDNA. By replacing traditional tumorigenic BHK cells, the platform offers a safer, more scalable, and potentially more regulatory-friendly approach to developing live-attenuated vaccines. Potential applications include vaccine development for influenza and other segmented RNA viruses, virology research, and rapid-response vaccine platforms. The technology is patent-pending, available for licensing, and currently in an early development stage.

Recently, Food Science of Animal Products (FSAP) has been officially included in the Emerging Sources Citation Index (ESCI) by Web of Science, a leading global provider of scientific and scholarly research information. All articles published by FSAP since 2023 will be included in ESCI. Its first impact factor will be released in 2027.

The Research Highlighter-MatchMaker Project, developed at the University at Albany, uses artificial intelligence and natural language processing to help researchers identify funding opportunities, find collaborators, and connect with research communities. By integrating publication data from Scopus and funding information from SPIN, the platform delivers personalized recommendations through searchable tools and automated email alerts. Users can search by researcher, topic, or proposal text, enabling more accurate matching than traditional keyword-based systems. The technology has the potential to accelerate interdisciplinary collaboration, improve grant competitiveness, and expand access to research opportunities, particularly for early-career researchers. The patent-pending technology is at TRL 3 and available for licensing.

This technology improves neural network security by introducing controlled weight perturbations during training, creating models that are more resistant to unauthorized access, snooping, cryptanalysis, and other attacks. Unlike traditional approaches that rely on external security measures, the method embeds protection directly into the training process, securing the network from the first layer onward and extending safeguards throughout the model. The approach is particularly well suited for mobile, edge, and IoT devices with limited computing resources, while also strengthening machine learning models delivered through APIs. By enhancing security without significant performance penalties, the technology supports safer deployment of AI systems in connected environments. The patent-pending technology is at TRL 3 and available for licensing.

Researchers at the University at Buffalo have developed AudioSight, a smartphone-based screening platform that objectively assesses hearing-related disorders using pupil responses to sound. The system combines a low-cost 3D-printed smartphone attachment, near-infrared illumination, and artificial intelligence to analyze audio-evoked pupillary responses. Advanced machine learning models process features such as response latency, dilation speed, and recovery time to generate risk scores for conditions including hidden hearing loss, tinnitus, and hyperacusis. Designed for self-administration and remote use, the technology could expand access to hearing screening for children, older adults, cognitively impaired individuals, and underserved populations. The TRL 6 technology is available for licensing or collaboration. AudioSight could make hearing-disorder screening more accessible, affordable, and objective by enabling at-home assessment and teleaudiology services. Earlier identification of hearing disorders may improve treatment outcomes, reduce barriers to care, and support populations that have difficulty completing conventional hearing tests.

This technology introduces a novel radio frequency receiver architecture that suppresses close-in and reciprocal mixing phase noise, two major sources of signal degradation in modern wireless communications. Using oscillators that generate scaled phase-noise tones and multiple mixers operating at carefully selected frequencies, the system reduces phase noise distortion during signal down-conversion without requiring training sequences or side information. The approach improves signal clarity, data integrity, and overall radio performance while remaining compatible with existing communication infrastructures. Potential applications include 4G and 5G networks, millimeter-wave communications, radar, ranging systems, and other high-frequency wireless technologies. The technology is patent pending, available for licensing, and currently at TRL 4.

The Blavatnik Regional Awards for Young Scientsits today announced three Laureates and six Finalists whose postdoctoral research exemplifies the extraordinary scientific excellence found across the Tri-State area of New York, New Jersey, and Connecticut. The Blavatnik Regional Awards honor outstanding postdoctoral researchers in Chemical Sciences, Life Sciences, and Physical Sciences & Engineering. A distinguished jury of scientists and engineers selected one Laureate per category, each receiving a $30,000 unrestricted award, along with two Finalists per category, each receiving $10,000 in unrestricted funds.

As quantum computing moves from the laboratory into real-world applications, Florida Atlantic University quantum technology leader Robert Loredo offers organizations a practical roadmap for preparing for the era of quantum advantage. In his new book, Quantum Readiness for Leaders, published by Packt Publishing, Loredo explores how executives and technology leaders can develop quantum strategies, build specialized teams, forge partnerships, protect data, address post-quantum cybersecurity threats and identify opportunities to harness quantum technologies for business and society.