Vadum, Inc.

Vadum will develop MATCH (Multimodal AcousTic Characterization of Hoax calls) a novel machine learning (ML) system to automatically and accurately detect deception in maritime Search and Rescue (SAR) ...

Vadum has shown the TRL4 feasibility of the innovative Compact Projectile Tracker (CPT) method for capturing small-arms projectile trajectories from a position at or near the point of origin to the po ...

Vadum and North Carolina State University (NCSU) will develop Simulation of Communications Circuits in the Time Domain using Reinforcement Learning (SCOUTER) – a novel machine-learning-enhanced RF c ...

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In this effort, Vadum proposes to expand, formalize, and develop software to implement the concepts previously developed in its Electronic Warfare Knowledge Store (EWKS). EWKS is a concept/prototype l ...

Vadum and K9 Helm propose to combine Vadum canine Hearing Protection (HP) technologies (including both passive and active protection modes) with K9 Helm Military Working Dog (MWD) helmet technologies. ...

Vadum will develop Adversarial Techniques in LPI Airborne Radar (ATILAR) a novel waveform generation technique to counter machine learning-based detectors in modern cognitive EW receivers. ATILAR will ...

Vadum will develop Advanced EOD Aiming Technology that is precise, low-cost, compatible with one-time use devices, visible in all lighting conditions, and highly portable. Today, military EOD technici ...

Vadum will continue research into cognitive electronic protection capability development by extending the Adversary Logic Exploitation System (ALES) algorithms developed in Phase I. The objectives of ...

Vadum will develop Kill Assessment for Raids using Modeling and simulation-based Analysis (KARMA), an innovative algorithmic capability to rapidly and efficiently detect and count raids of Closely Spa ...