Lifeboat Foundation

https://youtube.com/watch?v=gHBhMGbJHe8

In music, “portamento” is a term that’s been used for hundreds of years, referring to the effect of gliding a note at one pitch into a note of a lower or higher pitch. But only instruments that can continuously vary in pitch—such as the human voice, string instruments, and trombones—can pull off the effect.

Now an MIT student has invented a novel algorithm that produces a portamento effect between any two audio signals in real-time. In experiments, the algorithm seamlessly merged various audio clips, such as a piano note gliding into a human voice, and one song blending into another. His paper describing the algorithm won the “best student paper” award at the recent International Conference on Digital Audio Effects.

The algorithm relies on “optimal transport,” a geometry-based framework that determines the most efficient ways to move objects—or data points—between multiple origin and destination configurations. Formulated in the 1700s, the framework has been applied to supply chains, fluid dynamics, image alignment, 3D modeling, computer graphics, and more.

A quasi-particle that travels along the interface of a metal and dielectric material may be the solution to problems caused by shrinking electronic components, according to an international team of engineers.

“Microelectronic chips are ubiquitous today,” said Akhlesh Lakhtakia, Evan Pugh University Professor and Charles Godfrey Binder Professor of Engineering Science and Mechanics, Penn State. “Delay time for signal propagation in metal-wire interconnects, electrical loss in metals leading to temperature rise, and cross-talk between neighboring interconnects arising from miniaturization and densification limits the speed of these chips.”

These electronic components are in our smartphones, tablets, computers and security systems and they are used in hospital equipment, defense installations and our transportation infrastructure.

A team of researchers affiliated with several institutions in France has observed a phase transition in an artificially created flock. In their paper published in the journal Physical Review Letters, the group describes how they created their artificial flock and the events that led to a phase transition.

Scientists trying to understand crowd behavior generally create computer models meant to mimic human behavior under crowded conditions—but such simulations are limited by the parameters that are used to create them. Most in the field agree on the need to recreate crowd or flocking behavior physically in a lab. In this new effort, the researchers have built on prior work with an artificial crowd, and have found that under certain conditions it underwent a phase transition similar to water freezing to an ice state.

Working on a prior effort, some of the team members created an artificial crowd consisting of millions of beads suspended in a liquid between two plates of glass. The plates were joined in a way that allowed the beads to move around the outer edges of an oval—similar to cars on a partially three-dimensional race track. The beads were forced to move in one direction by applying an electric field—the Quincke effect spun the beads, which pushed them through the liquid in the same direction. Also, due to a dipole effect, the beads did not adhere to one another—instead, they moved around the track, seemingly of their own accord. The prior team showed that increasing density of the beads could set off a Vicsek-like transition in which randomly moving particles exhibit flock-like behaviors. In this new effort, the researchers used the same setup with the beads to create a flock and then watched what would happen as density was increased.

“DNA is like a computer program but far, far more advanced than any software ever created.” Bill Gates wrote this in 1995, long before synthetic biology – a scientific discipline focused on reading, writing, and editing DNA – was being harnessed to program living cells. Today, the cost to order a custom DNA sequence has fallen faster than Moore’s law; perhaps that’s why the Microsoft founder is turning a significant part of his attention, and wallet, towards this exciting field.

Bill Gates is not the only tech founder billionaire that sees a parallel between bits and biology, either. Many other tech founders – the same people that made their money programming 1s and 0s – are now investing in biotech founders poised to make their own fortunes by programming A’s, T’s, G’s and C’s.

The industry has raised more than $12.3B in the last 10 years and last year, 98 synthetic biology companies collectively raised $3.8 billion, compared to just under $400 million total invested less than a decade ago. Synthetic biology companies are disrupting nearly every industry, from agriculture to medicine to cell-based meats. Engineered microorganisms are even being used to produce more sustainable fabrics and manufacture biofuels from recycled carbon emissions.

By this time, we can all conclude that Facebook is really ambitious when it comes to the production of high-end gadgets. This when you consider the Oculus line of devices, a VR wristband and RayBan AR glasses. And if that wasn’t enough, a new device is up for development.

The company has now revealed plans to build a mind-reading wristband letting people control devices without touching them. This is after the company finally acquired CTRL-Labs, a startup that is currently venturing into brain-computer interfaces. The deal has been reported to value at $1 billion.

The deal was then announced by Andrew Bosworth, Vice President of AR and VR at Facebook. “We spend a lot of time trying to get our technology to do what we want rather than enjoying the people around us,” he said.

Quantum computing has the potential to revolutionize technology, medicine, and science by providing faster and more efficient processors, sensors, and communication devices.

But transferring information and correcting errors within a quantum system remains a challenge to making effective quantum computers.

In a paper in the journal Nature, researchers from Purdue University and the University of Rochester, including John Nichol, an assistant professor of physics, and Rochester Ph.D. students Yadav P. Kandel and Haifeng Qiao, demonstrate their method of relaying information by transferring the state of electrons. The research brings scientists one step closer to creating fully functional quantum computers and is the latest example of Rochester’s initiative to better understand quantum behavior and develop novel quantum systems. The University recently received a $4 million grant from the Department of Energy to explore quantum materials.

IBM has a fleet of quantum computers. That much is fairly well known since IBM has been actively promoting quantum computing for several years. But IBM’s quantum story will get all the more interesting next month, when a 53 qubit computer joins the line, making it the most powerful quantum computer available for use outside IBM.

“Next month, IBM will make a 53-qubit quantum computer available to clients via its Q Network quantum cloud computing service,” said Bits&Chips. That network, said Asian Scientist Magazine, and grew into an “ecosystem of Fortune 500 companies, start-ups, universities and national research labs.”

Continue reading “Big Blue’s Big Leap: Quantum center takes on 53 qubit system” »

The need to make some hardware systems tinier and tinier and others bigger and bigger has been driving innovations in electronics for a long time. The former can be seen in the progression from laptops to smartphones to smart watches to hearables and other “invisible” electronics. The latter defines today’s commercial data centers—megawatt-devouring monsters that fill purpose-built warehouses around the world. Interestingly, the same technology is limiting progress in both arenas, though for different reasons.

The culprit, we contend, is the printed circuit board. And the solution is to get rid of it.

Our research shows that the printed circuit board could be replaced with the same material that makes up the chips that are attached to it, namely silicon. Such a move would lead to smaller, lighter-weight systems for wearables and other size-constrained gadgets, and also to incredibly powerful high-performance computers that would pack dozens of servers’ worth of computing capability onto a dinner-plate-size wafer of silicon.

D-Wave today announced its next generation “Advantage” quantum computer system. It’ll pack a whopping 5,000 qubits and myriad improvements to processing speed and power. And the Los Alamos National Laboratory in New Mexico will be among the first to have access.

According to a press release from D-Wave, the new Advantage system improves on the previous generation’s 2000Q model – which sports a paltry-by-comparison 2,048 qubits – in nearly every conceivable way:

Designed to speed the development of commercial quantum applications, the Advantage quantum system will power a new hardware and software platform that will accelerate and ease the delivery of quantum computing applications. Reflecting years of customer feedback, the platform captures users’ priorities and business requirements and will deliver significant performance gains and greater solution precision.