Using new gene-editing technology, researchers have rewired mouse stem cells to fight inflammation caused by arthritis and other chronic conditions. Such stem cells, known as SMART cells (Stem cells Modified for Autonomous Regenerative Therapy), develop into cartilage cells that produce a biologic anti-inflammatory drug that, ideally, will replace arthritic cartilage and simultaneously protect joints and other tissues from damage that occurs with chronic inflammation.
A new automated machine can synthesize a range of small organic molecules with the push of a button. The synthesizer uses a chemical method that pieces together molecules from modular building blocks. With this technique, the machine synthesized 14 classes of molecules, including some complicated ones with multiple rings.
Perception-Action loops are at the core of most our daily life activities. Subconsciously, our brains use sensory inputs to trigger specific motor actions in real time and this becomes a continuous activity that in all sorts of activities from playing sports to watching TV. In the context of artificial intelligence(AI), perception-action loops are the cornerstone of autonomous systems such as self-driving vehicles. While disciplines such as imitation learning or reinforcement learning have certainly made progress in this area, the current generation of autonomous systems are still nowhere near human skill in making those decisions directly from visual data. Recently, AI researchers from Microsoft published a paper proposing a transfer learning method to learn perception-action policies from in a simulated environment and apply the knowledge to fly an autonomous drone.
The challenge of learning which actions to take based on sensory input is not so much related to theory as to practical implementations. In recent years, methods like reinforcement learning and imitation learning have shown tremendous promise in this area but they remain constrained by the need of large amounts of difficult-to-collect labeled real world data. Simulated data, on the other hand, is easy to generate, but generally does not render safe behaviors in diverse real-life scenarios. Being able to learn policies in simulated environments and extrapolate the knowledge to real world environments remains one of the main challenges of autonomous systems. To advance research in this area, the AI community has created many benchmarks for real world autonomous systems. One of the most challenging is known as first person view drone racing.
In first-person view(FPV) done racing, expert pilots are able to plan and control a quadrotor with high agility using a potentially noisy monocular camera feed, without comprising safety. The Microsoft Research team attempted to build an autonomous agent that can control a drone in FPV racing.
MIT’s Open Source ventilator design submitted for fast-track FDA approval. #COVID19
In many parts of the world the COVID-19 pandemic is causing shortages in hospital space, staff, medical supplies, and equipment. Severe cases may require breathing support, but there are only so many ventilators available. With that in mind, MIT is working on FDA approval of an emergency ventilator system (E-Vent). They have submitted the design to the FDA for fast track review. The project is open source, so once they have approval the team will release all the data needed to replicate it.
The design is actually made simple by using something that is very common: a manual resuscitator. You have doubtlessly seen these on your favorite medical show. It is the bag someone squeezes while the main character struggles valiantly to save their patient. Of course, having someone sit and squeeze the bag for days on end for thousands of people isn’t very practical and that’s where they’ve included an Arduino-controlled motor to automate the process.
This movement towards a more automated society has some positives: it will help us stay healthy during times like the present, it will drive down the cost of goods and services, and it will grow our GDP in the long run. But by leaning into automation, will we be enabling a future that keeps us more physically, psychologically, and emotionally distant from each other?
We’re in a crisis, and desperate times call for desperate measures. We’re sheltering in place, practicing social distancing, and trying not to touch each other. And for most of us, this is really unpleasant and difficult. We can’t wait for it to be over.
For better or worse, this pandemic will likely make us pick up the pace on our path to automation, across many sectors and processes. The solutions people implement during this crisis won’t disappear when things go back to normal (and, depending who you talk to, they may never really do so).
Now a new manufacturing method dubbed “robotic blacksmithing” has the potential to revolutionize the way high-quality structural parts are made, resulting in a new class of customized and optimized products. I am part of a loose coalition of engineers developing this process, a technique I believe can help revive U.S. manufacturing.
Today’s Technologies
Metal parts are used in all kinds of high-performance and safety-critical applications in transportation, mining, construction and power-generation equipment such as turbine engines. Most are made using one of a small number of classical manufacturing processes that haven’t changed much in decades.
Well this is good news. Now they just need to pour every dime into the manufacturing and hurry the hell up.
The Food and Drug Administration (FDA) has approved the first coronavirus diagnostic test that can be conducted entirely at the point of care.
The test from California-based Cepheid will deliver results in about 45 minutes — much faster than current tests that require a sample to be sent to a centralized lab, where results can take days.
The test has been designed to operate on any of Cepheid’s more than 23,000 automated GeneXpert Systems worldwide, of which 5,000 are in the U.S., the company said. The systems are already being used to test for conditions such as HIV and tuberculosis.
No Autonomous Trucks? Wait, What? ‘…it resembled conventional human-operated transportation vehicles, but with one exception — there was no driver’s cabin.’ — Philip K. Dick, 1955.
Elon Musk’s Traffic Tunnel Challenge Is Boring ‘The car vibrated… threading the maze of local tubes.’ — Jack Vance, 1954.
HVSD, Kitty Hawk’s Electric Plane Very quiet commuter plane offers VTOL service.
SHANGHAI (Reuters) — Researchers at one of China’s top universities have designed a robot they say could help save lives on the frontline during the coronavirus outbreak.
The machine consists of a robotic arm on wheels that can perform ultrasounds, take mouth swabs and listen to sounds made by a patient’s organs, usually done with a stethoscope.
Such tasks are normally carried out by doctors in person. But with this robot, which is fitted with cameras, medical personnel do not need to be in the same room as the patient, and could even be in a different city.
Medical robotics expert Guang-Zhong Yang calls for a global effort to develop new types of robots for fighting infectious diseases.
When I reached Professor Guang-Zhong Yang on the phone last week, he was cooped up in a hotel room in Shanghai, where he had self-isolated after returning from a trip abroad. I wanted to hear from Yang, a widely respected figure in the robotics community, about the role that robots are playing in fighting the coronavirus pandemic. He’d been monitoring the situation from his room over the previous week, and during that time his only visitors were a hotel employee, who took his temperature twice a day, and a small wheeled robot, which delivered his meals autonomously.
An IEEE Fellow and founding editor of the journal Science Robotics, Yang is the former director and co-founder of the Hamlyn Centre for Robotic Surgery at Imperial College London. More recently, he became the founding dean of the Institute of Medical Robotics at Shanghai Jiao Tong University, often called the MIT of China. Yang wants to build the new institute into a robotics powerhouse, recruiting 500 faculty members and graduate students over the next three years to explore areas like surgical and rehabilitation robots, image-guided systems, and precision mechatronics.
“I ran a lot of the operations for the institute from my hotel room using Zoom,” he told me.
