What does the "typical" exosolar system look like? We know it's not likely to look like our own Solar System, given that our familiar planets don't include entire classes of planets (Hot Jupiters! Mini-Neptunes!) that we've found elsewhere. And our discovery methods have been heavily biased toward planets that orbit close to their host star, so we don't really have a strong sense of what might be lurking in more distant orbits.

A new study released on Thursday describes a search for what are called "microlensing" events, where a planet acts as a gravitational lens that magnifies the star it's orbiting, causing it to brighten briefly. These events are difficult to capture, but can potentially indicate the presence of planets in more distant orbits. The researchers behind the new work find indications that there's a significant population of rocky super-Earths that are traveling in orbits similar to that of Jupiter and Saturn.

Lenses go micro

The two primary methods we've used to discover exoplanets are called transit and radial velocity. In the transit method, we simply watch the star for dips in the light it sends to Earth, which can be an indication of a planet orbiting in a way that it eclipses a small fraction of the star. For radial velocity, we look for red- or blue-shifts in the light received from the star, caused by a planet tugging the star in different directions as it orbits.

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A few decades ago, it wasn't realistic to attribute individual events—even heat waves—to the general warming trend driven by human-caused climate change. Now, there are peer-reviewed methods of rapidly detecting humanity's fingerprints in the wake of weather disasters like hurricanes or climate-driven wildfires.

In today's issue of Nature, Dartmouth's Christopher Callahan and Justin Mankin argue that we've reached a similar level of sophistication regarding another key question: What are the economic damages caused by individual climate events? They argue that we can now assign monetary values to the damage caused by emissions that can be traced back to individual companies. They found that "The global economy would be $28 trillion richer ... were it not for the extreme heat caused by the emissions from the 111 carbon majors."

They argue that this method might provide legal ammunition for those interested in seeking climate damages in court: "By revealing the human fingerprint on events previously thought to be ‘acts of God,’ attribution science has helped make climate change legally legible."

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Concerns about AI's energy use have a lot of people looking into ways to cut down on its power requirements. Many of these focus on hardware and software approaches that are pretty straightforward extensions of existing technologies. But a few technologies are much farther out there. One that's definitely in the latter category? Quantum computing.

In some ways, quantum hardware is a better match for some of the math that underlies AI than more traditional hardware. While the current quantum hardware is a bit too error-prone for the more elaborate AI models currently in use, researchers are starting to put the pieces in place to run AI models when the hardware is ready. This week, a couple of commercial interests are releasing a draft of a paper describing how to get classical image data into a quantum processor (actually, two different processors) and perform a basic AI image classification.

All of which gives us a great opportunity to discuss why quantum AI may be more than just hype.

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Shortly after its inauguration, the Trump administration has made no secret that it isn't especially interested in funding research. Before January's end, major science agencies had instituted pauses on research funding, and grant funding has not been restored to previous levels since. Many individual grants have been targeted on ideological grounds, and agencies like the National Science Foundation are expected to see significant cuts. Since then, individual universities have been targeted, starting with an ongoing fight with Columbia University over $400 million in research funding.

This week, however, it appears that the targeting of university research has entered overdrive, with multiple announcements of funding freezes targeting several universities. Should these last for any considerable amount of time, they will likely cripple research at the targeted universities.

On Wednesday, Science learned that the National Institutes of Health has frozen all of its research funding to Columbia, despite the university agreeing to steps previously demanded by the administration and the resignation of its acting president. In 2024, Columbia had received nearly $700 million in grants from the NIH, with the money largely going to the university's prestigious medical and public health schools.

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Even the tiniest of living things are capable of some amazing forms of locomotion, and some come with highly sophisticated sensor suites and manage to source their energy from the environment. Attempts to approach this sort of flexibility with robotics have taken two forms. One involves making tiny robots modeled on animal behavior. The other involves converting a living creature into a robot. So far, either approach has involved giving up a lot. You're either only implementing a few of life's features in the robot or shutting off most of life's features when taking over an insect.

But a team of researchers at Harvard has recognized that there are some behaviors that are so instinctual that it's possible to induce animals to act as if they were robotic. Or mostly robotic, at least—the fruit flies the researchers used would occasionally go their own way, despite strong inducements to stay with the program.

Smell the light

The first bit of behavior involved Drosophila's response to moving visual stimuli. If placed in an area where the fly would see a visual pattern that rotates from left to right, the fly will turn to the right in an attempt to keep the pattern stable. This allowed a projector system to "steer" the flies as they walked across an enclosure (despite their names, fruit flies tend to spend a lot of their time walking). By rotating the pattern back and forth, the researchers could steer the flies between two locations in the enclosure with about 94 percent accuracy.

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A study released on Wednesday finds that a live-virus vaccine that limits shingles symptoms was associated with a drop in the risk for dementia when it was introduced. The work took advantage of the fact that the National Health Service Wales made the vaccine available with a very specific age limit, essentially creating two populations, vaccinated and unvaccinated, separated by a single date. And these populations showed a sharp divide in how often they were diagnosed with dementia, despite having little in the way of other differences in health issues or treatments.

What a day

This study didn't come out of nowhere. There have been a number of hints recently that members of the herpesvirus family that can infect nerve cells are associated with dementia. That group includes Varicella zoster, the virus that causes both chicken pox and—potentially many years after— shingles, an extremely painful rash. And over the past couple of years, observational studies have suggested that the vaccine against shingles may have a protective effect.

But it's extremely difficult to do a clinical trial given that the onset of dementia may happen decades after most people first receive the shingles vaccine. That's why the use of NHS Wales data was critical. When the first attenuated virus vaccine for shingles became available, it was offered to a subset of the Welsh population. Those who were born on or after September 2, 1933, were eligible to receive the vaccine. Anyone older than that was permanently ineligible.

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