China leads the world in churning out humanoid robots and four-legged robot dogs that also happen to be the most affordable on the market—and Unitree Robotics’ founder Wang Xingxing is arguably one of the people most responsible for that Chinese lead.
The introverted founder, who prominently appeared at a 2025 business symposium hosted by Chinese President Xi Jinping, became phenomenally wealthy after Unitree launched an initial public offering on the Shanghai Stock Exchange STAR Market on August 19. But extensive reporting by Beijing-based Caijing Magazine suggests Unitree’s success so far has been driven by Wang’s extreme micromanagement leadership style—an approach that may be more suited to a small startup than a fast-growing robotics company.
Caijing’s interviews with Unitree employees and investors paint a picture of Wang as someone who personally decides nearly every aspect of corporate strategy or product design, including the colors of materials and lengths of individual screws. The Caijing Magazine feature published on August 31, titled “The King of Unitree,” was translated into English by ChinaTalk, a US-based think tank and media organization, on September 10.
On a sunny morning in June, I walked to work with a quadruped robot beside me. I’ve never gotten more attention from strangers.
A bunch of people snapped pictures of my robot dog. Several people asked me questions. Was it mine? (Yes.) Did I build it? (No.) Was it being used for surveillance? (No.)
Biological dogs kept a safe distance from my mechanical companion. Some growled or barked at it.
For a child bursting with energy, few things are more fun than hurtling through a bouncy castle, launching into the air, and ping-ponging between every surface. But that childhood buoyancy will quickly deflate when it turns out those surfaces are smeared with a hypervirulent, multidrug-resistant pathogen.
That was the horrifying reality for a community in Ireland in fall 2025. Neighbors had gathered for an afternoon of merriment, complete with a barbecue, a sweets station, and three bouncy castles. Officials estimate that about 120 people joined the festivities, and around half of them were children and teens. Within a day, some children began developing signs of an infection. In all, 48 children in the community developed aggressive skin and soft-tissue infections.
Of the 48 cases, 33 were treated by their regular doctor, and 15 sought emergency care. Four children ended up being hospitalized. Luckily, all of the children recovered. The results of the outbreak investigation were reported this week in the journal Eurosurveillance.
Credit: Museum of Mediterranean and Near Eastern Antiquities, Stockholm
The precise composition of ancient Egyptian paints, binders, adhesives, and similar materials used to make artifacts is largely unknown, in part because a full analysis would require taking samples that would damage those valuable artifacts. The development of cutting-edge, non-destructive techniques has been helping to unlock those secrets, aiding conservation efforts.
Most recently, researchers have used mass spectrometry-based proteomics to analyze the glues and adhesives in a broad set of Egyptian artifacts, according to a new paper published in the journal Science Advances. They found plenty of expected sources, such as animal collagens and egg proteins, but also plant proteins, specifically from sesame and drumstick tree (moringa) cereals.
As previously reported, the ancient Egyptians had a highly formalized (and easily recognizable) painting style, and there has been considerable interest in gaining insights into the specific pigments and painting techniques employed. Common pigments included hematite and realgar for red; goethite and orpiment for yellow; Egyptian blue; Egyptian green; carbon-based black; and calcite, gypsum, anhydrite, and huntite for white. (Just last year, Washington State University researchers were able to re-create Egyptian blue by mixing together silicon dioxide, copper, calcium, and sodium carbonate in varying proportions and heating them at very high temperatures akin to those of ancient kilns.)
Almost a hundred years ago, physicists theorized out what free fall should do to a quantum wave. If the solution they came up with is wrong, quantum mechanics and Einstein's theory of gravity flatly contradict each other. But testing it has been impossible because nobody has managed to build an interferometer that could perform the necessary measurement.
Now, a team led by Ron Folman, a physicist at Ben-Gurion University of the Negev, with collaborators in Germany, the UK, and the US, including Nobel laureate Roger Penrose, has done it. They built a new interferometer that gives a single atom two possible paths at once: one that involves a free fall, and another where it is held perfectly still. Both paths end at the same place at the same moment, allowing the team to measure what the fall does to a wave-like property of the atom.
Long time coming
Ever since Galileo, physicists have known how to describe a falling object—where it is, how fast it goes, or how quickly it accelerates. Quantum mechanics, though, insists that every object is also a wave. “Every particle, doesn't matter if it's a car or a spaceship or an atom, is a wave,” Folman says. “Everything that is a wave, like sea waves or sound waves, goes up and down. And if you're up or down, this is measured by something called a phase. A phase just tells you if you are at the top of the wave or at the bottom.”
ESP32 boards are incredibly versatile tools. You can use them for a huge range of purposes, and they can also be an extremely cheap way to help you get started in a new creative tech hobby.
It turns out Jean-Luc Picard was an even better starship helmsman than the writers knew. A physicist has gone through the details of a warp-speed trick from the first season of Star Trek: The Next Generation and found a subtlety the show missed. But instead of a plot hole, the detail he found actually makes the maneuver more impressive… as well as a great opportunity to teach about a lesser-known feature of the theory of relativity.
Níckolas de Aguiar Alves, a physicist at the Federal University of ABC in Brazil, first watched Next Generation as a master’s student. When he got to the episode "The Battle" in the show’s first season, the plot reminded him of his relativity coursework.
In "The Battle," a Ferengi leader reminds Picard of a battle he fought years ago as captain of a ship called the Stargazer. Under fire from a mysterious attacker, Picard’s ship’s shields were down. He had to get closer without taking a hit, so he made a gamble. Picard ordered the Stargazer to charge the enemy ship at warp speed (meaning faster than light), then stop abruptly and fire. By going faster than light, Picard anticipated that the other ship would see two images of the Stargazer: where it reached warp speed and where it stopped. If they fired on the wrong image, they would miss the Stargazer, and Picard could win the battle.
The eyebrow-raising proposal, delivered during the president’s speech at the midterm convention, would cost $1.2 trillion and would need congressional approval.
They joined as part of a funding round that totals $13 million, according to a Form D filed with the Securities and Exchange Commission. NLM has reported at least $26 million in funding since 2018, according to SEC filings.
The company offers a way to move more data without burning more power. Inside a data center, information travels between chips and servers as pulses of light. The part that puts the data onto the light beam, called a modulator, is normally made of silicon. It limits how much data a link can carry, and how much power that takes.
NLM’s technology, sold under the name Selerion, is an organic electro-optic material that goes on as a liquid and hardens in place on the chip, taking over the modulator’s job from the silicon underneath. The company says it does the work 10 to 15 times more efficiently.
Applications for the technology include fiber-optic networking equipment and the links between servers in AI data centers. NLM says it could also be used in quantum computing.
Five existing investors participated in the round, which the company described as a Series A2: Emerald Technology Ventures, Oregon Venture Fund, Idemitsu, Tokyo Ohka Kogyo and StoryHouse Ventures. Private investors and company employees also took part.
Pangaea Ventures, which has offices in Canada, the United States and Japan, backs startups built on advances in materials, chemistry and biology. It says it has invested in more than 40 companies over more than 20 years. David Weekes of Pangaea is joining NLM’s board, which already includes Frank Balas of Emerald.
Diamond Edge Ventures, led by president Curtis Schickner, has $200 million to invest through 2030. It backs companies in Mitsubishi Chemical’s core markets, including advanced materials, polymers and electronics, and its portfolio includes Boston Materials, DigiLens and Eridan.
Hamamatsu Photonics, which invested previously, is not part of this round but is still a shareholder, according to the company.
The company was incorporated in 2018 as Nonlinear Materials Corp. It licensed its patents from the University of Washington, building on 25 years of research there in the labs of chemists Larry Dalton and Bruce Robinson. Robinson is one of the company’s co-founders, as is Lewis Johnson, a longtime UW researcher who is chief technology officer.
Pack Ventures, the UW-affiliated venture fund, is an investor in NLM and is also listed among the advisors to its board.
GeekWire covered NLM’s launch in 2019, when the company was raising a $1.25 million seed round and running a small production lab on campus.
NLM Photonics CEO Brad Booth. (NLM Photo)
Brad Booth, who spent nine years at Microsoft and joined NLM’s board in 2023, took over as CEO in 2024 from co-founder Gerard Zytnicki, who is now a corporate advisor to the company. The company raised $1 million from Tokyo Ohka Kogyo and Hamamatsu in 2023.
Last year NLM said outside testing confirmed that a 1.6-terabit chip combining silicon with its materials ran at 224 gigabits per second on each of eight channels. It started sending samples of 1.6- and 3.2-terabit chips to customers in March.
NLM is not alone in trying to build a better modulator. Lightwave Logic, a publicly traded Colorado company also working with organic materials, named NLM among its smaller competitors in its annual report for 2024.
Some of the company’s rivals have raised a significant amount of funding. HyperLight, a Harvard spinout that uses a crystal called lithium niobate instead of an organic material, has raised $117 million, including $80 million in June led by MediaTek.
NLM has worked to get its materials onto other companies’ production lines. In March the company said the chips going out to customers were made at GlobalFoundries, and that it had built modulators using Tower Semiconductor’s high-volume silicon photonics process.
Scientists have an indisputable playful side, evidenced by frequent allusions to popular culture in their research publications. That includes popular song lyrics. And the most popular musical group, in terms of how frequently their songs and lyrics appear in the scientific literature, is The Beatles, according to a new paper published in the journal PLoS ONE.
“Some of these are genuinely brilliant," said co-author Gabriel Budel of Delft University of Technology in the Netherlands of the more than 3,000 references they found to The Beatles. "'The lung and winding road' is a paper on Long COVID that changes one vowel. 'Here comes the SU(N)' turns 'Here Comes the Sun' into a quantum computing paper about mathematical groups. Someone was having a very good day at their desk.”
Back in 2014, scientists at the Karolinska Institute in Sweden revealed that they had been deliberately inserting Bob Dylan lyrics into their papers as part of a long-running bet, starting with a 1997 Nature review entitled "Nitric Oxide and inflammation: The answer is blowing in the wind." That resulted in a 2015 study on whether Dylan lyrics appeared elsewhere in the biomedical literature; the most frequently referenced were "The Times They Are A'Changin'" and "Blowing in the Wind."
On Tuesday, Google announced AlphaGenome Atlas, a resource that attempts to predict the consequences of every possible single-base variant in the human genome. The human genome is about 3 billion bases long, so trying the other three DNA bases that don't appear in our reference genome means sending a total of 9 billion bases through AlphaGenome software.
AlphaGenome is designed to identify potential functions of non-coding DNA, which does not encode proteins but makes up the vast majority of the human genome. Some of this non-coding DNA is essential for controlling the activity of the protein-coding portion—it tells the cell where and when to make messenger RNAs, how to process them into mature protein-coding forms, and so on. But much of it appears to be little more than the remains of viruses and other molecular parasites.
Being able to identify the functional portion is very useful, as is having all the analysis done by a single software package. But until biologists start to use it heavily (assuming they do), it won't be clear what AlphaGenome offers beyond what we could have gotten out of its training data.
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