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Assistant Professor Zongwei Zhou has received a competitive translational funding award from Johns Hopkins Technology Ventures to develop AI infrastructure in support of early cancer detection.

The latest winning SURPASS projects unite experts from the Johns Hopkins University’s Whiting School of Engineering and Applied Physics Laboratory to solve world-changing problems.

The pre-workshop was organized by Johns Hopkins Computer Science faculty in advance of the 35th USENIX Security Symposium.

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The Symposium on Experimental Algorithms explores the role of experimentation and engineering techniques in the design and evaluation of algorithms and data structures.

The rise of Generative AI (GenAI) has demonstrated significant potential to improve productivity and foster creativity among content creators, social media influencers with large audiences on platform...

As AI writing assistants are increasingly used for interpersonal communication, they may have profound impacts on interpersonal relationships. Politeness is one important aspect of social communication that is grounded in people’s perceptions of ...

Biomedical researchers increasingly rely on large-scale structured databases for complex analytical tasks. However, current text-to-SQL systems often struggle to map qualitative scientific questions i...

Large language models (LLMs) face significant challenges with needle-in-ahaystack tasks, where relevant information ("the needle") must be drawn from a large pool of irrelevant context ("the haystack"...

Large language models are increasingly deployed as autonomous coding agents and have achieved remarkably strong performance on software engineering benchmarks. However, it is unclear whether such succ...

Scientific knowledge is growing rapidly, making it difficult to track progress and high-level conceptual links across broad disciplines. While tools like citation networks and search engines help retr...

Much work has been done on designing fast and accurate sampling for diffusion language models (dLLMs). However, these efforts have largely focused on the tradeoff between speed and quality of individu...

Office correspondence is weaker when requested with language commonly used by women

Newly funded teams will lead programs to develop autonomous robots to deliver curative stroke treatment.

Encrypted AI reasoning vulnerability in Anthropic, OpenAI, and Google APIs let researchers decode 315,320 published session logs and recover 182 developer credentials -- because all three providers us...

Bestowed by the Institute of Electrical and Electronics Engineers, this prestigious award recognizes Taylor’s contributions to, leadership in, and translation of surgical and medical robotics.

[MICCAI 2026] Merlin Plus is the first large-scale public CT dataset with radiologist-created tumor masks across 9 organs (spleen, bladder, gallbladder, stomach, duodenum, prostate, adrenal glands,...

Manual reporting of 3D MRI studies is time-consuming, yet end-to-end structured report generation for 3D liver MRI remains underexplored due to volumetric complexity and scarce paired data. We propose...

Photon-counting CT (PCCT) provides superior image quality with higher spatial resolution and lower noise compared to conventional energy-integrating CT (EICT), but its limited clinical availability re...

Suture-needle pickup is necessary for autonomous suturing, as a needle can be unexpectedly dropped or strategically released to adjust the grasping configuration. Current methods for autonomous needle...

These up-and-coming leaders are pushing innovation in fields including artificial intelligence, fetal surgery and energy.

The four-year R01 grant will fund the development of AI algorithms capable of detecting three types of abdominal cancers on CT scans, enabling earlier diagnosis and treatment.

The ability to quickly and affordably survey a patient’s entire genome is expected to accelerate research, diagnostics, and precision medicine.