Accelerating the Inevitable™
Key Research Trends This Week: Trends in Cybersecurity Here is a quick rundown of the key cybersecurity trends from the past week. As threats evolve and new defensive technologies emerge, staying informed is essential for security professionals and business leaders alike. For context on how these trends connect to prior developments, see our previous cybersecurity
AI trends in Cybersecurity January 2026 Read More »
Key Research Trends This Week: Trends in Cybersecurity This week saw significant advances in AI security vulnerabilities, side-channel attacks, and industrial system threats. For more context, see our previous week’s trends in cybersecurity. These developments reflect the ongoing evolution of both attack methodologies and defensive countermeasures across the cybersecurity landscape. Future Research Directions This week’s
Trends in Cybersecurity: for the Week Ending 01/12/2026 Read More »
Quick rundown of the key trends in cybersecurity research for the week ending 09-12-2025 Key Cybesecurity Research Trends This Week This week’s cybersecurity research focuses on improving detection systems, establishing ethical frameworks, and enhancing security in modern software environments. Future Research Directions Based on this week’s publications, several key research directions are emerging in cybersecurity.
Trends in Cybersecurity: for the Week Ending 9/12/25 Read More »
As we all take measures to protect ourselves and loved ones, there is a parallel universe of activity racing to apply all of the latest medical technology, data analysis, genome mapping, artificial intelligence (AI), robots, drones, IoT, supply chain logistics, self-driving vehicles, and cybersecurity enhancements (to name a few) to address this Global pandemic crisis.
What we think we know about COVID-19 Read More »
Initial findings published by researchers from Tel-Aviv University and RADLogics, show promise through the application of Deep Learning CT Image Analysis to assist doctors in detecting the deadly Coronoavirus (COVID-19). One of the challenges of rapidly developing a DL algorithm is the phases through which the algorithm must progress: Data-collection, Training, and Testing. Each of
Deep Learning assisting doctors to Detect Coronavirus (COVID-19) Read More »