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Researchers led by Technische Universität Kaiserslautern (TUK) and the University of Vienna successfully constructed a basic building block of computer circuits using magnons to convey information, in place of electrons. The ‘magnonic half-adder’ described in Nature Electronics, requires just three nanowires, and far less energy than the latest computer chips.

A team of physicists are marking a milestone in the quest for smaller and more energy-efficient computing: they developed an integrated circuit using magnetic material and magnons to transmit binary data, the 1s and 0s that form the foundation of today’s computers and smartphones.

The new circuit is extremely tiny, with a streamlined, 2-D design that requires about 10 times less energy than the most advanced computer chips available today, which use CMOS technology. While the current magnon configuration is not as fast as CMOS, the successful demonstration can now be explored further for other applications, such as quantum or neuromorphic computing.

Microsoft is partnering with SpaceX to connect the tech giant’s Azure cloud computing network to the growing Starlink satellite internet service offered by Elon Musk’s company, the companies announced Tuesday.

Starlink is SpaceX’s ambitious plan to build an interconnected internet network with thousands of satellites, designed to deliver high-speed internet to anywhere on the planet.

“The collaboration that we’re announcing today will allow us to work together to deliver new offerings for both the public and the private sector to deliver connectivity through Starlink for use on Azure,” SpaceX president and COO Gwynne Shotwell said in a video. “Where it makes sense, we will work with [Microsoft]: co-selling to our mutual customers, co-selling to new enterprise and future customers.”

Now Karlin, Klein and Oveis Gharan have proved that an algorithm devised a decade ago beats Christofides’ 50 percent factor, though they were only able to subtract 0.2 billionth of a trillionth of a trillionth of a percent. Yet this minuscule improvement breaks through both a theoretical logjam and a psychological one. Researchers hope that it will open the floodgates to further improvements.

“This is a result I have wanted all my career,” said David Williamson of Cornell University, who has been studying the traveling salesperson problem since the 1980s.

The traveling salesperson problem is one of a handful of foundational problems that theoretical computer scientists turn to again and again to test the limits of efficient computation. The new result “is the first step towards showing that the frontiers of efficient computation are in fact better than what we thought,” Williamson said.

Interesting…


The new Nvidia GeForce RTX 3090 is a gaming powerhouse, but that’s not all it can do. According to the makers of a popular password recovery application, the RTX 3090 is also good at brute-forcing passwords. That’s great if you forget an important password, but that’s probably not why people are using such tools. The latest Nvidia cards could make cracking someone else’s files almost trivially easy.

The RTX 3090 is Nvidia’s latest top-of-the-line GPU with a GA102 graphics processor sporting 10,496 cores and 24GB of GDDR6X memory. It is monstrously, obscenely powerful by today’s gaming standards, and comes with a correspondingly high price of $1,500, give or take a few hundred depending on supply. With a focus on high core counts, GPUs are also great for parallel computing. That’s why you couldn’t even buy a GPU for several months when Bitcoin was at its peak. In the same vein, GPUs are very good at cracking passwords.

Passcovery recently updated to add support for RTX cards like the 3090, and it vastly increased the speed of brute force attacks. In the past, it wasn’t practical to guess every possible password until you hit on the right one — computers just weren’t fast enough. However, a GPU can do that quickly enough to find passwords in certain instances. With v20.09 of the Passcovery suite, a relatively modest GTX 1060 can go from 3.4 million guesses per second to 669 million per second. This version of the software added support for RTX 3000-series cards, which might be a problem for your weak passwords. The RTX 3090 is almost seven times faster in GPU compute benchmarks than the 1060 — that’s a lot of guesses per second.

Researchers from Trinity have discovered a uniquely quantum effect in erasing information that may have significant implications for the design of quantum computing chips. Their surprising discovery brings back to life the paradoxical “Maxwell’s demon,” which has tormented physicists for over 150 years.

The thermodynamics of computation was brought to the fore in 1961 when Rolf Landauer, then at IBM, discovered a relationship between the dissipation of heat and logically irreversible operations. Landauer is known for the mantra “Information is Physical,” which reminds us that information is not abstract and is encoded on physical hardware.

The “bit” is the currency of information (it can be either zero or one) and Landauer discovered that when a bit is erased there is a minimum amount of heat released. This is known as Landauer’s bound and is the definitive link between information theory and thermodynamics.

Negotiations are a central part of many human interactions, ranging from business discussions and legal proceedings to conversations with vendors at local markets. Researchers specialized in economics, psychology, and more recently, computer science have conducted several studies aimed at better understanding how humans negotiate with one another in the hope of shedding light on some of the dynamics of human decision-making and enabling the development of machines that can replicate these dynamics.

A research team at the University of Southern California has been exploring the possibility of building automated systems that can negotiate with humans. In a paper pre-published on arXiv and set to be presented at the IJCAI conference, they presented a virtual agent based on a framework called IAGO (Interactive Arbitration Guide Online), which can negotiate with humans in a three-round task. This virtual agent, called Pilot, is one of the finalists of the IJCAI conference’s global negotiation challenge (ANAC).

“Recently, researchers realized the potential applications of building automated systems that can negotiate with humans,” Kushal Chawla, one of the researchers who carried out the study, told TechXplore. “These intelligent assistants can be really useful to augment current techniques for training people to have stronger social skills. Examples include teaching business students to negotiate for successful deals or lawyers to accurately assess settlement rates in legal proceedings.”