arXiv ·
MBZUAI researchers introduce BiMediX, a bilingual (English and Arabic) mixture of experts LLM for medical applications. The model is trained on BiMed1.3M, a new 1.3 million bilingual instruction dataset and outperforms existing models like Med42 and Jais-30B on medical benchmarks. Code and models are available on Github.
TII ·
TII's DERC, in partnership with Brazilian firm RADAZ, has obtained the first microwave images from their joint project on Airborne Multi-band Interferometric Microwave Imaging (A(MI)2) in Abu Dhabi. The project uses a new multiband Synthetic Aperture Radar (SAR) operating in P, L, and C frequency bands to generate terrain images. The system, which can be mounted on commercial drones, also integrates Ground Penetrating Radar capability to detect buried objects. Why it matters: This technology enhances remote sensing capabilities in the region, enabling applications in agriculture, infrastructure monitoring, and search and rescue operations.
MBZUAI ·
Researchers have developed robotic path-planning and control algorithms for minimally invasive surgery (MIS) that steer flexible needles, incorporating teleoperation and haptic feedback. An AI algorithm was designed to predict target motion due to respiratory movement, improving needle placement accuracy. GANs were used to generate synthetic images visualizing organ and tumor motion. Why it matters: This research demonstrates the potential of AI and robotics to enhance precision and adaptability in MIS, potentially reducing patient trauma and improving recovery times in the region and beyond.
MBZUAI ·
MBZUAI researchers demonstrated a low-latency, multilingual multimodal AI system at GITEX that integrates speech, text, and visual capabilities for more lifelike human-machine conversation. The demo, led by Dr. Hisham Cholakkal, includes a mobile app where users can point their camera at an object and ask questions, receiving spoken answers in multiple languages. They are also integrating the model into a robot dog that can respond to voice commands. Why it matters: This work addresses key challenges in deploying LLMs to real-world applications in the Middle East, such as multilingual support and real-time responsiveness.