This Review summarizes advances in mass-spectrometry-based proteomics and explores the potential applications of these technologies in the clinic.
Director of the Utah NeuroRobotics Lab and ECE assistant professor Jacob George, along with mechanical engineering assistant professor Haohan Zhang, […]
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.
Researchers have created the first laboratory analog of the ‘black hole bomb’, a theoretical concept developed by physicists in the 1970s.
TikTok fined €530M for illegally transferring EEA user data to China, violating GDPR Article 46.
Workflow slashes CVE ticketing time by 60% using Tines, CrowdStrike, and ServiceNow for faster action.
Stealth malware MintsLoader delivers GhostWeaver RAT + Evades sandboxes using DGA + Powers data theft via encrypted C2
Microsoft now defaults new accounts to passkeys instead of passwords + Safer logins + Reduced phishing risk.
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.
Jeff Bezos is funding a secretive EV startup based in Michigan called Slate Auto that could start production as soon as next year, according to multiple sources and documents that link the billionaire’s family office to the startup.