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Loughborough University scientists are the first to demonstrate that a terahertz wave camera can capture 3D images of microscopic items hidden inside small objects.

Lead researcher Dr. Luana Olivieri says though the research is in the early stages, the team’s latest study could have “major implications for a range of fields with relevance in cancer screenings, security, and materials research.”

The research, which is in collaboration with Professor Marco Peccianti, Dr. Luke Peters, Dr. Juan S. Totero and a team of experts from the Emergent Photonics Research Center (EPicX), demonstrates that can be used to locate and recognize embedded objects and features, such as cracks and bubbles, in microscopic three-dimensional space. The study has been published in the journal ACS Photonics and is featured on the front cover of the latest issue, published today (June 21).

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A team of chemists and material scientists at the University of Tokyo has developed a new class of interlocking supramolecular systems by combining metal-organic frameworks with rotaxanes. In their study, reported in the journal Nature Communications, the group combined the two structures and found possible uses for the results.

Metal-organic frameworks (MOFs) are compounds made using in such a way as to create one-, two-, or three-dimensional structures. The resultant ligands are known in the chemistry world as linkers or struts. They are typically used to make products such as sensing equipment, machines that store energy or those that separate and purify liquids. They have also been used for biological imaging and .

Rotaxanes are molecular structures that are interlocked in dumbbell shapes. They are created by threading cyclic molecules into other molecules and then applying end caps. They are typically used as molecular switches in electronics devices, and sometimes as shuttles. In this new effort, the research team developed a way to connect the two types of to create new kinds of interlocking structures.

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Prepare to have your mind blown by Elon Musk’s latest creation: TruthGPT! In this ground-breaking video, we delve into the mind-boggling potential of an AI-powered language model, which has sent shockwaves throughout the AI industry.

TruthGPT is Elon Musk’s idea, a highly advanced and groundbreaking language model that aspires to push the veracity and accuracy of AI-generated material to the forefront. It is intended to address the misinformation, fake news, and biassed narratives that afflict our digital environment. Musk’s goal with TruthGPT is to construct an AI that can present information objectively, factually, and without personal prejudice.

TruthGPT has sent shockwaves through the AI sector with its unmatched capabilities. It has astounded industry experts, researchers, and even competitors. This YouTube video analyses the AI community’s emotions and responses, demonstrating the disbelief and excitement sparked by Elon Musk’s latest creation.

You may be asking, as a ChatGPT user, if TruthGPT is a direct rival to this popular language paradigm. While both models aim to generate human-like prose, their approaches differ. ChatGPT is intended to engage in interactive conversations by giving a variety of responses and information depending on its training data. TruthGPT, on the other hand, places a strong emphasis on assuring accuracy, fact-checking, and unbiased information distribution.

Continue reading “Elon Musk’s INSANE New TruthGPT STUNS The Entire AI Industry! | ChatGPT Competitor?” | >

Attackers are increasingly targeting vulnerable developer laptops to infiltrate production systems without directly attacking them, warned cloud security expert Lee Atchison.

Instead of waiting for an application to become fully functional, hackers target the development process used to bring an application to a state of operation, Atchison said, speaking at a recent Uptycs-sponsored Cybersecurity Standup, “Castles in the Sky – Secure Your App Dev Pipeline From Laptop to Cloud.”

“We focus so much attention on keeping data and cloud data centers secure. But we haven’t realized that all of this technology feeds into the data centers and that one of the primary drivers of that is developers, the source code they develop, and the machines that they develop the source code on,” Atchison said. “Those DevOps machines feed into the production systems but have nowhere near the level of protection behind them that the production data centers do.”

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Summary: As artificial intelligence (AI) evolves, its intersection with neuroscience stirs both anticipation and apprehension. Fears related to AI – loss of control, privacy, and human value – stem from our neural responses to unfamiliar and potentially threatening situations.

We explore how neuroscience helps us understand these fears and suggests ways to address them responsibly. This involves dispelling misconceptions about AI consciousness, establishing ethical frameworks for data privacy, and promoting AI as a collaborator rather than a competitor.

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Italian fashion start-up Cap_able has launched a collection of knitted clothing that protects the wearer’s biometric data without the need to cover their face.

Named Manifesto Collection, the clothing features various patterns developed by artificial intelligence (AI) algorithms to shield the wearer’s facial identity and instead identify them as animals.

Cap_able designed the clothing with patterns – known as adversarial patches – to deceive facial recognition software in real-time.

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