Tag Archives: Tech

Drones Have Transformed Blood Delivery in Rwanda

WIRED

The autonomous aircraft have shuttled blood to rural, mountainous areas for years. A new analysis proves they’re faster than driving.

SIX YEARS AGO, Rwanda had a blood delivery problem. More than 12 million people live in the small East African country, and like those in other nations, sometimes they get into car accidents. New mothers hemorrhage. Anemic children need urgent transfusions. You can’t predict these emergencies. They just happen. And when they do, the red stuff stored in Place A has to find its way to a patient in Place B—fast.

Read the full story in WIRED

When Robots Multiply

GROW

These scientists created living robots out of frog cells. Now these “Xenobots” are reproducing.

IT WOULD PROBABLY have been the science story of the year—any other year. In January 2020, a team of biologists, roboticists and computer scientists announced that they had created the world’s first living robots. These Xenobots were cells culled from a frog, sculpted with the help of an evolutionary algorithm, and then set free to roam under the microscope. Liberated from the constraints of frogness, these cells had designs of their own. They collaborated. They interacted. They performed basic tasks. And eventually, in more recent experiments, they started to multiply.

This is the team’s latest revelation: Xenobots can autonomously assemble identical copies of themselves from individual cells floating in the spring water around them.

Read the full story in GROW.

To Test Cancer Drugs, These Scientists Grew ‘Avatars’ of Tumors

WIRED

Growing organoids in dishes and xenografts in mice lets scientists recreate a living person’s tumor—and test dozens of drugs against them at the same time.

IN 2018, ALANA Welm found herself in an exciting, yet burdensome, position. The University of Utah breast cancer research lab where she leads joint projects with her husband, Bryan Welm, had created lab-grown versions of real tumors isolated from living cancer patients. Each cancer had been translated into two kinds of biological models: xenografts, made by implanting tissue into mice, and organoids, miniature clumps of tissue grown in plastic dishes.

Each simulated cancer was a way to test which of about 45 drugs, some experimental and others approved by the US Food and Drug Administration, might perform best for the real patient. During testing on one patient’s organoids, the researchers isolated a drug that effectively killed its cancer cells. That was the exciting bit. The burden: Welm had no right to do anything about it. She couldn’t tell the patient or her doctor. “We were just doing this for research,” says Welm.

This particular drug had already earned FDA approval to be used against breast cancer, but it wasn’t approved for this patient’s type of cancer. So Welm dialed up her university’s Institutional Review Board, an ethics oversight group.“We called them and said: We found this, we really think we need to let them know,” Welm recalls. The board agreed; the team could bring the patient’s physician into the loop. “That really was an eye-opener,” Welm says. “Wow, we can actually make a difference!”

Yet by the time Welm reached the physician, it was too late. The patient passed away shortly after. “It was heartbreaking,” she says. But it was also motivating: The Welms’ team doubled down on efforts to refine their methods and turn their research into a clinical tool.

Read the full story in WIRED

Machine Learning Gets a Quantum Speedup

QUANTA MAGAZINE

Two teams have shown how quantum approaches can solve problems faster than classical computers, bringing physics and computer science closer together.

For Valeria Saggio to boot up the computer in her former Vienna lab, she needed a special crystal, only as big as her fingernail. Saggio would place it gently into a small copper box, a tiny electric oven, which would heat the crystal to 77 degrees Fahrenheit. Then she would switch on a laser to bombard the crystal with a beam of photons.

This crystal, at this precise temperature, would split some of those photons into two photons. One of these would go straight to a light detector, its journey finished; the other would travel into a tiny silicon chip — a quantum computing processor. Miniature instruments on the chip could drive the photon down different paths, but ultimately there were only two outcomes: the right way, and the many wrong ways. Based on the result, her processor could choose another path and try again.

The sequence feels more Rube Goldberg than Windows, but the goal was to have a quantum computer teach itself a task: Find the right way out.

Read the full story in Quanta Magazine

Timnit Gebru Says Artificial Intelligence Needs to Slow Down

WIRED

The AI researcher, who left Google last year, says the incentives around AI research are all wrong.

ARTIFICIAL INTELLIGENCE RESEARCHERS are facing a problem of accountability: How do you try to ensure decisions are responsible when the decision maker is not a responsible person, but rather an algorithm? Right now, only a handful of people and organizations have the power—and resources—to automate decision-making.

Organizations rely on AI to approve a loan or shape a defendant’s sentence. But the foundations upon which these intelligent systems are built are susceptible to bias. Bias from the data, from the programmer, and from a powerful company’s bottom line can snowball into unintended consequences. This is the reality AI researcher Timnit Gebru cautioned against at a RE:WIRED talk on Tuesday.

“There were companies purporting [to assess] someone’s likelihood of determining a crime again,” Gebru said. “That was terrifying for me.”

Read the full story in WIRED.

Surprising Limits Discovered in Quest for Optimal Solutions

Quanta Magazine

Algorithms that zero in on solutions to optimization problems are the beating heart of machine reasoning. New results reveal surprising limits.

Our lives are a succession of optimization problems. They occur when we search for the fastest route home from work or attempt to balance cost and quality on a trip to the store, or even when we decide how to spend limited free time before bed.

These scenarios and many others can be represented as a mathematical optimization problem. Making the best decisions is a matter of finding their optimal solutions. And for a world steeped in optimization, two recent results provide both good and bad news.

In a paper posted in August 2020, Amir Ali Ahmadi of Princeton University and his former student, Jeffrey Zhang, who is now at Carnegie Mellon University, established that for some quadratic optimization problems — in which pairs of variables can interact — it’s computationally infeasible to find even locally optimal solutions in a time-efficient manner.

But then, two days later, Zhang and Ahmadi released a second paper with a positive takeaway. They proved that it’s always possible to quickly identify whether a cubic polynomial — which can feature three-way interactions between variables — has a local minimum, and to find it if it does.

The limits are not what their discoverers expected.

Read the full story in Quanta Magazine

The Artificial Leaf: Copying Nature to Fight Climate Change

ACS ChemMatters Magazine

An ancient chemical process enabled Earth to become a lush place teeming with life. Now researchers are replicating this process in an attempt to slow global warming.

Every plant, animal, and person owes their life to one sequence of chemical reactions: photosynthesis. The process, which converts water and carbon dioxide into food using sunlight, first evolved in cyanobacteria more than 2 billion years ago.

That’s right. Plants weren’t the first organisms to develop photosynthesis, though they are better known for it. Cyanobacteria are the ones that originally filled the atmosphere with photosynthesis’s gaseous by-product, oxygen (O2), which set the stage for more diverse life on Earth.

As beneficiaries of photosynthesis, humans depend on plants in a sort of carbon seesaw. Plants take in CO2 and release O2. They store that carbon as sugar. Hanging vines, grass, and trees all grow by pulling carbon atoms out of the air. We do the reverse, taking in O2 and releasing CO2. Finally, everything we eat completes the handoff: Human eats plant (or the animal who already did), human exhales, plant stores carbon, and the cycle continues.

This seesaw is part of the much broader carbon cycle that has affected the radiation balance of our planet. Cutting down huge swaths of forests and the burning of carbon-based fossil fuels causes the levels of CO2, a major greenhouse gas, to rise. And plants on Earth along with other natural parts of the carbon cycle can’t restore the balance on their own.

But what if we could copy what plants do to grab some of that excess CO2 to make fuels sustainably, instead of relying so heavily on fossilized carbon?

Read the full story in the October 2021 issue of ChemMatters

This Barnacle-Inspired Glue Seals Bleeding Organs in Seconds

WIRED

The paste sticks onto wet tissue firmly by repelling blood. Surgeons hope it can save time—and lives.

EXCESSIVE BLEEDING IS, in some sense, an engineering problem.

“For us, everything is a machine, even a human body,” says Hyunwoo Yuk, a research scientist in mechanical engineering at MIT. “They are malfunctioning and breaking, and we have some mechanical way to solve it.”

About 1.9 million people die every year from blood loss, sometimes from trauma, sometimes on the operating table. Bleeding bodies are wet, prone to infection, and need urgent care. Yet it’s hard to create a seal on wet tissue, and most commercial products used to stop dangerous bleeding rely on coagulants which take minutes to work. Some people don’t have minutes.

Read the full story in WIRED

The Race to Put Silk in Nearly Everything

WIRED

The fiber has been considered a “miracle material” for anything from body parts to food. Has the revolution finally arrived?

ALI ALWATTARI STILL remembers the day he met the goats. It was mid-May, 19 years ago, in Quebec. The sun was lighting up the old maple sugar farm—and small huts where the goats were living. Alwattari, a materials scientist, had spent his career tinkering with chemistry equipment for Procter & Gamble, developing fibers used in Pampers and Swiffers. But the startup Nexia Biotechnologies was aiming to use an entirely different kind of polymer producer—and it was gazing back at him with its rectangular pupils.

Read the full story in WIRED

Watch a Drone Swarm Fly Through a Fake Forest Without Crashing

WIRED

Each copter doesn’t just track where the others are. It constantly predicts where they’ll go.

ENRICA SORIA NEEDED soft trees. The mathematical engineer and robotics PhD student from the Swiss Federal Institute of Technology Lausanne, or EPFL, had already built a computer model to simulate the trajectories of five autonomous quadcopters flying through a dense forest without hitting anything. But an errant copter wouldn’t survive a tête-à-tête with a physical tree.

So Soria built a fake forest the size of a bedroom. Motion-capture cameras lined a rail hanging above the space to track the movement of the quadcopters. And for “trees,” Soria settled on a grid of eight green collapsible kids’ play tunnels from Ikea, made of a soft fabric. “Even if the drones crash into them,” Soria recalls thinking, “they won’t break.”

Read the full story in WIRED