This Review summarizes advances in mass-spectrometry-based proteomics and explores the potential applications of these technologies in the clinic.
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System converts fabric images into complete machine-readable knitting instructions
Recent advances in robotics and machine learning have enabled the automation of many real-world tasks, including various manufacturing and industrial processes. Among other applications, robotic and artificial intelligence (AI) systems have been successfully used to automate some steps in manufacturing clothes.
Researchers at Laurentian University in Canada recently set out to explore the possibility of fully automating the knitting of clothes. To do this, they developed a model to convert fabric images into comprehensive instructions that knitting robots could read and follow. Their model, outlined in a paper published in Electronics, was found to successfully realize patterns for the creation of single-yarn and multi-yarn knitted items of clothing.
“Our paper addresses the challenge of automating knitting by converting fabric images into machine-readable instructions,” Xingyu Zheng and Mengcheng Lau, co-authors of the paper, told Tech Xplore.
Scientists Build First-Ever ‘Black Hole Bomb’ Analog
Researchers have created the first laboratory analog of the ‘black hole bomb’, a theoretical concept developed by physicists in the 1970s.
Supercharged Qubits: How MIT’s Quarton Coupler Accelerates Quantum Computing
A new MIT-designed circuit achieves record-setting nonlinear coupling, allowing quantum operations to occur dramatically faster.
The heart of this advance is the “quarton coupler,” which boosts both light-matter and matter-matter interactions. This progress could lead to quicker quantum readouts, crucial for error correction and computation fidelity.
Unlocking Quantum Computing’s Speed Potential.
