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A new study describes a novel approach for purifying rare earth metals, crucial components of technology that require environmentally-damaging mining procedures. By relying on the metal’s magnetic fields during the crystallization process, researchers were able to efficiently and selectively separate mixtures of rare earth metals.

Seventy-five of the periodic table’s 118 elements are carried in the pockets and purses of more than 100 million U.S. iPhone users every day. Some of these elements are abundant, like silicon in computer chips or aluminum for cases, but certain metals that are required for crisp displays and clear sounds are difficult to obtain. Seventeen elements known as rare earth metals are crucial components of many technologies but are not found in concentrated deposits, and, because they are more dispersed, require toxic and environmentally-damaging procedures to extract.

With the goal of developing better ways to recycle these metals, new research from the lab of Eric Schelter describes a new approach for separating mixtures of rare earth metals with the help of a magnetic field. The approach, published in Angewandte Chemie International Edition, saw a doubling in separation performance and is a starting point towards a cleaner and more circular rare earth metals economy.

Circa 2017

Today, lithium is the active ingredient in batteries that power smart phones, laptops, and cars. But because of the price of lithium, researchers have been looking for another, more abundant element that could replace it. Several start-ups and established companies have tackled the idea of developing rechargeable batteries in which the active ingredient is sodium, lithium’s neighbor on the periodic table.

Besides its availability, sodium has several other important properties—not the least of which is its resistance to catching on fire. What’s more, “It was a good candidate because it could store a similar amount of energy as compared to lithium,” remembers Minah Lee, who does research on sodium batteries at Stanford University.

Continue reading “How Long Before Sodium Batteries Are Worth Their Salt?” »

Malware on our smartphones isn’t new, and while there are ways to remove them, in some instances where it is particularly severe, the only way to deal with malware would be to factory reset your phone back to the way it was when it was new. Unfortunately, it seems that there is a new Android malware making its rounds that makes it impossible to remove, even with a factory reset.

Dubbed xHelper, this malware isn’t so much about stealing your phone’s information or sensitive details, but rather, it is designed to continuously serve up popup ads, in which presumably that is how its creators are making money off it. There is one particularly dangerous feature of the malware, which according to ZDNet, would see the malware download and install apps on your behalf.

As if that wasn’t bad enough, as we said, the malware cannot be uninstalled or removed even if you factory reset your phone. According to security companies like Symantec and Malwarebytes, they believe that the reason why this app is so persistent is because of a system app that might have been compromised.

Apple’s biggest iPhone redesign in years has suddenly taken shape…

A team of scientists from the universities of Alberta and Toronto have laid out the blueprints for a “quantum battery” that never loses its charge.

To be clear, this battery doesn’t exist yet — but if they figure out how to build it, it could be a revolutionary breakthrough in energy storage.

“The batteries that we are more familiar with — like the lithium-ion battery that powers your smartphone — rely on classical electrochemical principles, whereas quantum batteries rely solely on quantum mechanics,” University of Alberta chemist Gabriel Hanna said in a statement.

When the first smartphones arrived, few people understood how they would change our reality. Today, our internet-connected mobile device maps our travel, manages our finances, delivers our dinner, and connects us to every corner of human knowledge. In less than a generation, it has become almost an extension of our central nervous system — so indispensable that we can’t imagine leaving home without it to guide us.

We are about to embark on another journey even more important to every individual and to human society. We are entering the age of genomics, an amazing future that will dramatically improve the health outcomes of people across the planet. Soon, we won’t be able to imagine a time when we left home without knowledge of our genome to guide us.

Continue reading “How we Benefit from Getting our Genomes Sequenced” »

Researchers at the University of Sussex have developed a glue which can unstick when placed in a magnetic field, meaning products otherwise destined for landfill, could now be dismantled and recycled at the end of their life.

Currently, items like mobile phones, microwaves and car dashboards are assembled using adhesives. It is a quick and relatively cheap way to make products but, due to problems dismantling the various materials for different recycling methods, most of these products will be destined for landfill.

However, Dr. Barnaby Greenland, Lecturer in Medicinal Chemistry, working in conjunction with Stanelco RF Technologies Ltd and Prof Wayne Hayes at the University of Reading, may have found a solution.

Think of the human brain as an immensely powerful supercomputer. But as one of the most complex systems in Nature, there’s still much to learn about how it works. That’s why researchers from the Human Brain Project are attempting to unravel even more of its mysteries. However, most neuroscientists still believe that consciousness is generated in our brains, trying to justify their chosen profession as the only key to our experience of the world. It is not. We humans don’t live in a vacuum, we are not “brains in a vat,” so to speak. Just like your smartphone, your brain is a ‘bio’-logical computing device of your mind, an interface into physical reality. Our minds are connected to the broader mind-network, as computers in the Cloud. Consciousness is “non-local” Cloud, our brain-mind systems are receivers, processors and transmitters of information within that Cloud. So, a truly multidisciplinary and computationalist approach is required to crack the neural code and reverse-engineer consciousness in AI and cybernetic systems. We shouldn’t be surprised if all that hype about testing for the “seat of consciousness” could only end up refining our understanding of neural correlates — not how consciousness originates in the brain because it’s not its origin there. The Internet or a cellular network is not generated by your smartphone — only processed by it. Species-wide mind-networks are ubiquitous in Nature. What’s different with humans is that the forthcoming cybernetic mediation could become synthetic telepathy and beyond that — the emergence of one global mind, the Syntellect Emergence (cf. The Syntellect Hypothesis) #consciousness #HumanBrainProject

In episode four of Bloomberg’s Moonshot, see how 500 scientists in 100 universities are spending $1.1 billion on the Human Brain Project.

Although mobile devices were not designed to run compute-heavy AI models, in recent years AI-powered features like face detection, eye tracking, and voice recognition have all been added to smartphones. Much of the compute for such services is done on the cloud, but ideally these applications would be light enough to run directly on devices without an Internet connection.

In this spirit of “smaller is better,” Shanghai-based developer “Linzai” (GitHub user name @Linzaer) recently shared a new lightweight model that enables real-time face detection for smartphones. The “Ultra-Light-Fast-Generic-Face-Detector-1MB” is designed for general-purpose face detection applications in low-power computing devices and is applicable to both Android and iOS phones as well as PCs (CPU and GPU). The project has garnered a whopping 3.3k Stars and over 600 forks on GitHub.

Facial recognition technology is widely applied in security monitoring, surveillance, human-computer interaction, entertainment, etc. Detecting human faces in digital images is the first step in facial recognition, and an ideal face detection model can be evaluated by how quickly and accurately it performs.