China successfully powered up its "artificial sun" nuclear fusion reactor for the first time, state media reported Friday, marking a great advance in the country's nuclear power research capabilities. Phys.Org reports: The HL-2M Tokamak reactor is China's largest and most advanced nuclear fusion experimental research device, and scientists hope that the device can potentially unlock a powerful clean energy source. It uses a powerful magnetic field to fuse hot plasma and can reach temperatures of over 150 million degrees Celsius, according to the People's Daily -- approximately ten times hotter than the core of the sun. Located in southwestern Sichuan province and completed late last year, the reactor is often called an "artificial sun" on account of the enormous heat and power it produces. They plan to use the device in collaboration with scientists working on the International Thermonuclear Experimental Reactor -- the world's largest nuclear fusion research project based in France, which is expected to be completed in 2025.

Hmmmmmm shares a report from Ars Technica: Micro Magic Inc. -- a small electronic design firm in Sunnyvale, California -- has produced a prototype CPU that is several times more efficient than world-leading competitors, while retaining reasonable raw performance. EE Times reported on the company's new prototype CPU, which appears to be the fastest RISC-V CPU in the world. Micro Magic adviser Andy Huang claimed the CPU could produce 13,000 CoreMarks (more on that later) at 5GHz and 1.1V while also putting out 11,000 CoreMarks at 4.25GHz -- the latter all while consuming only 200mW. Huang demonstrated the CPU -- running on an Odroid board -- to EE Times at 4.327GHz/0.8V and 5.19GHz/1.1V. Later the same week, Micro Magic announced the same CPU could produce over 8,000 CoreMarks at 3GHz while consuming only 69mW of power.

Part of the difficulty in evaluating Micro Magic's claim for its new CPU lies in figuring out just what a CoreMark is and how many of them are needed to make a fast CPU. It's a deliberately simplified CPU benchmarking tool released by the Embedded Microprocessor Benchmark Consortium, intended to be as platform-neutral and simple to build and use as possible. CoreMark focuses solely on the core pipeline functions of a CPU, including basic read/write, integer, and control operations. This specifically avoids most effects of system differences in memory, I/O, and so forth. [...] With that said, it's worth pointing out that -- if we take Micro Magic's numbers for granted -- they're already beating the performance of some solid mobile phone CPUs. Even at its efficiency-first 3GHz clockrate, the Micro Magic CPU outperformed a Qualcomm Snapdragon 820. The Snapdragon 820 isn't world-class anymore, but it's no slouch, either -- it was the processor in the U.S. version of Samsung's Galaxy S7.

What if your digital assistant could battle rap? That may sound far-fetched, but Gil Weinberg, a music technologist at the Georgia Institute of Technology, has adapted a musical robot called Shimon to compose lyrics and perform in real time. From a report: That means it can engage in rap "conversations" with humans, and maybe even help them compose their own lyrics. Shimon, which was intentionally designed to sound machinelike (listen here), is meant to be a one-of-a-kind musical collaborator -- or an inhuman rap-battle opponent. Computer-generated music dates back to the 1950s, when early computers used algorithms to compose melodies. Modern robots can use machine learning to ad-lib on instruments including the flute and drums. One such machine was an earlier version of Shimon, which could play the marimba and sing. The recently updated robot looks the same; it still consists of a ball-shaped "head," with saucy movable eyebrows above visor-covered eyes, perched at the end of a mechanical arm. But now Weinberg claims Shimon is the first improvising robot to foray into rap, with its distinct stylistic features that pose unique programming challenges.

The crowning glory of rap lies in the lyrics. On top of semantic content, the words need to adhere to an aesthetically pleasing beat and rhythm, all while delivering multiple layers of poetic complexity. In a recent paper, published in the proceedings of the 11th International Conference on Computational Creativity 2020, Weinberg's research team outlines the technical advances that brought a rapping Shimon to life. When Shimon battle raps, software converts its human opponent's spoken lyrics into text. The robot's system identifies keywords from this, and generates new lyrics based on several custom data sets of words that Shimon has been trained on (using deep-learning models). These data sets can come from any text: the work of Lil Wayne, JAY-Z or other rappers; lyrics from other genres; or even nonmusical literary works. Imagine how Shakespeare or Jane Austen might sound if they rapped; Shimon could simulate that for you.

An anonymous reader quotes a report from Scientific American: For the first time, a quantum computer made from photons -- particles of light -- has outperformed even the fastest classical supercomputers. Physicists led by Chao-Yang Lu and Jian-Wei Pan of the University of Science and Technology of China (USTC) in Shanghai performed a technique called Gaussian boson sampling with their quantum computer, named Jiuzhang. The result, reported in the journal Science, was 76 detected photons -- far above and beyond the previous record of five detected photons and the capabilities of classical supercomputers.

Unlike a traditional computer built from silicon processors, Jiuzhangis an elaborate tabletop setup of lasers, mirrors, prisms and photon detectors. It is not a universal computer that could one day send e-mails or store files, but it does demonstrate the potential of quantum computing. Last year, Google captured headlines when its quantum computer Sycamore took roughly three minutes to do what would take a supercomputer three days (or 10,000 years, depending on your estimation method). In their paper, the USTC team estimates that it would take the Sunway TaihuLight, the third most powerful supercomputer in the world, a staggering 2.5 billion years to perform the same calculation as Jiuzhang. [...] This latest demonstration of quantum computing's potential from the USTC group is critical because it differs dramatically from Google's approach. Sycamore uses superconducting loops of metal to form qubits; in Jiuzhang, the photons themselves are the qubits. Independent corroboration that quantum computing principles can lead to primacy even on totally different hardware "gives us confidence that in the long term, eventually, useful quantum simulators and a fault-tolerant quantum computer will become feasible," Lu says.

... [T]he USTC setup is dauntingly complicated. Jiuzhang begins with a laser that is split so it strikes 25 crystals made of potassium titanyl phosphate. After each crystal is hit, it reliably spits out two photons in opposite directions. The photons are then sent through 100 inputs, where they race through a track made of 300 prisms and 75 mirrors. Finally, the photons land in 100 slots where they are detected. Averaging over 200 seconds of runs, the USTC group detected about 43 photons per run. But in one run, they observed 76 photons -- more than enough to justify their quantum primacy claim. It is difficult to estimate just how much time would be needed for a supercomputer to solve a distribution with 76 detected photons -- in large part because it is not exactly feasible to spend 2.5 billion years running a supercomputer to directly check it. Instead, the researchers extrapolate from the time it takes to classically calculate for smaller numbers of detected photons. At best, solving for 50 photons, the researchers claim, would take a supercomputer two days, which is far slower than the 200-second run time of Jiuzhang.