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Category: computing – Page 99

Cell-mapping tool provides insightful multi-layered view of cancer behavior

Researchers at VCU Massey Comprehensive Cancer Center have developed a new computational tool called Vesalius, which could help clinicians understand the complex relationships between cancer cells and their surrounding cells, leading to potential discoveries regarding the development of hard-to-treat cancers.

Findings from a new study, published in Nature Communications, could help guide the identification of predictive biomarkers for multiple cancers and better inform the effectiveness of different treatment options based on individuals’ specific type of disease.

Rajan Gogna, Ph.D., member of the Developmental Therapeutics research program at Massey and assistant professor in the VCU School of Medicine’s Department of Human and Molecular Genetics, and a team of collaborators were driven by the goal of interpreting extensive amounts of data in a meaningful way.

Innsbruck develops new technique to improve multi-photon state generation

Quantum dots – semiconductor nanostructures that can emit single photons on demand – are considered among the most promising sources for photonic quantum computing.

However, every quantum dot is slightly different and may emit a slightly different color, according to a team at the University of Innsbruck, Austria, which has developed a technique to improve multi-photon state generation. The Innsbruck team states that, “the different forms of quantum dot means that, to produce multi-photon states we cannot use multiple quantum dots.”

Usually, researchers use a single quantum dot and multiplex the emission into different spatial and temporal modes, using a fast electro-optic modulator. But a contemporary technological challenge: faster electro-optic modulators are expensive and often require very customized engineering. To add to that, it may not be very efficient, which introduces unwanted losses in the system.

Nature Publishing: https://www.nature.com/articles/s41534-025-01083-0

Security wise: The team’s work combines years of research in quantum optics, semiconductor physics, and photonic engineering to open the door for next-generation quantum computers andunwanted losses in the system.

Communications. Here’s what you need to know. Securities IO: https://www.securities.io/passive-two-photon-quantum-dots-secure-communication

Continue reading “Innsbruck develops new technique to improve multi-photon state generation” | >

Researchers Demonstrate QuantumShield-BC Blockchain Framework

Researchers have developed QuantumShield-BC, a blockchain framework designed to resist attacks from quantum computers by integrating post-quantum cryptography (PQC) utilising algorithms such as Dilithium and SPHINCS+, quantum key distribution (QKD), and quantum Byzantine fault tolerance (Q-BFT) leveraging quantum random number generation (QRNG) for unbiased leader selection. The framework was tested on a controlled testbed with up to 100 nodes, demonstrating resistance to simulated quantum attacks and achieving fairness through QRNG-based consensus. An ablation study confirmed the contribution of each quantum component to overall security, although the QKD implementation was simulated and scalability to larger networks requires further investigation.

How to Spot (and Fix) 5 Common Performance Bottlenecks in pandas Workflows

Slow data loads, memory-intensive joins, and long-running operations—these are problems every Python practitioner has faced. They waste valuable time and make iterating on your ideas harder than it should be.

This post walks through five common pandas bottlenecks, how to recognize them, and some workarounds you can try on CPU with a few tweaks to your code—plus a GPU-powered drop-in accelerator, cudf.pandas, that delivers order-of-magnitude speedups with no code changes.

Don’t have a GPU on your machine? No problem—you can use cudf.pandas for free in Google Colab, where GPUs are available and the library comes pre-installed.

This Incredible Brain Implant Can Decode Inner Thoughts Into Speech

Scientists are making significant strides forward in brain-computer interface (BCI) technology, and a newly developed system can translate our thoughts into text or sound.

It’s essentially an inner speech decoder, developed by researchers from institutions across the US. In tests on four volunteers with severe paralysis, the decoder hit an accuracy rate of up to 74 percent in translating thoughts into audible speech.

The potential here is for a BCI that can help those with speech or motor impairments to communicate more effectively than ever before, though there’s still work to be done improving how accurate and personalized the system is.

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