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Autonomous microdrone achieves first airtoair insect kill on the way ‘towards completely eradicating mosquitoes’ uses car parking sensors, can eliminate insects at up to 26 feet

A micro-drone designed to locate and eradicate mosquitoes has passed an important milestone. Tornyol Systems shared a video where the eponymous autonomous drone chalked up its first live air-to-air kill. For some reason (perhaps demonstration visibility), the 40g (1.4 ounce) drone’s first confirmed kill on video features a moth. Tornyol boldly claims that the demo shows a significant stride has been made “towards completely eradicating mosquitoes.”

Tornyol Systems co-founder Alex Toussaint shared the above Tweet, congratulating the engineering team that has worked alongside him on the project. On the company website, there is a mosquito-hostile manifesto laid out, which provides insight into the company’s primary drone development goal.

George Dvorsky: Specialization is for Insects

Fourteen years ago, I sat down with George Dvorsky for almost 1 hour and 40 minutes. We argued about everything: transhumanism and the paleo diet, animal uplift and non-human person rights, mass extinction, SETI, and whether alien intelligence would be friendly or hostile.

One quote from that conversation has stayed with me ever since. Robert A. Heinlein:

“A human being should be able to change a diaper, plan an invasion, butcher a hog, conn a ship, design a building, write a sonnet, balance accounts, build a wall, set a bone, comfort the dying, take orders, give orders, cooperate, act alone, solve equations, analyze a new problem, pitch manure, program a computer, cook a tasty meal, fight efficiently, die gallantly. Specialization is for insects.”

In 2012, that sounded like a provocation. In 2026, in the age of AI, it sounds like a survival strategy. When machines out-specialize us at everything, what is left for humans? Perhaps precisely this: to be generalists. To be whole.

Was George right then? Is Heinlein right now?

Watch the full interview and judge for yourself: [ https://snglrty.co/4pU2ZtQ](https://snglrty.co/4pU2ZtQ)

New machine-learning equation accurately assess LDL cholesterol risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by laboratories in the U.S. and other countries to guide efforts to lower cardiovascular disease risk. Now, a simplified machine-learning version of this equation has been shown in a study of millions of U.S. adult and child blood samples to match the accuracy of the original—making it broadly accessible. The findings and code were published in JAMA Cardiology.

“We’ve optimized the calculation of LDL cholesterol and made this equation accessible and easier for all labs to implement,” says Seth Martin, M.D., M.H.S., the senior study author and director of the Advanced Lipid Disorders Program and Digital Health Lab at the Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease.

“Our goal is to enable clinicians and patients to make better decisions about starting treatments that prevent heart attacks and strokes and save lives.”

New optical chip design controls light speed in real time, simulations suggest

Seoul National University College of Engineering announced that a joint research team led by Professor Namkyoo Park and Professor Sunkyu Yu of the Department of Electrical and Computer Engineering at SNU, in collaboration with Professor Xianji Piao of the School of Electrical and Computer Engineering at the University of Seoul, has developed a photonic integrated circuit that can slow light on demand.

With the rapid advancement of generative AI and large-scale AI models, computational demands have surged, exposing the limitations of conventional electronic semiconductors, including high power consumption and limited data transmission speeds. As a result, demand for optical computing technologies capable of low-power, ultrafast processing is increasing. However, because light travels at a fixed speed, implementing buffer and memory functions—essential for optical computing—has remained fundamentally challenging.

To address this issue, the joint research team devised a method to freely control both the speed and shape of optical signals using a programmable photonic integrated circuit. Through this approach, the team demonstrated the ability to control “slow light” with a higher degree of freedom than any previously proposed method.

Artificial Intelligence Trends That Will Change Everything

*Discover the biggest Artificial Intelligence trends that will reshape the world over the next decade.*

AI is evolving faster than ever. From autonomous AI agents and humanoid robots to AI-generated video, multimodal intelligence, scientific breakthroughs, and personalized software, the next wave of artificial intelligence is already transforming the way we work, create, and live.

In this video, we’ll explore the most important AI trends that could define the future of technology—and why the biggest AI revolution may already be happening around us.

Chapters:
00:00 The Future of Artificial Intelligence.
00:48 Special Thanks to Our Members.
01:17 AI Agents.
03:01 AI Memory.
04:55 Multimodal AI
06:40 AI Robots.
08:21 Personalized AI
09:41 AI-Generated Video.
11:25 AI in Scientific Discovery.
12:54 Small AI Models.
14:07 The Future of Search.
15:24 Human + AI
16:32 The Invisible AI Future.

If you enjoy content about artificial intelligence, future technology, robotics, automation, and emerging innovations, subscribe to *FutureLens* and join us as we explore the technologies shaping tomorrow.

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