By Kara Manke| DECEMBER 21, 2020

Imagine typing on a computer without a keyboard, playing a video game without a controller or driving a car without a wheel. A new device developed by engineers at the UC Berkeley can recognize hand gestures based on electrical signals detected in the forearm. The system, which couples wearable biosensors with artificial intelligence (AI), could one day be used to control prosthetics or to interact with almost any type of electronic device.

Researchers break magnetic memory speed record

Spintronic devices are attractive alternatives to conventional computer chips, providing digital information storage that is highly energy efficient and also relatively easy to manufacture on a large scale. However, these devices, which rely on magnetic memory, are still hindered by their relatively slow speeds, compared to conventional electronic chips.

Scientists Encode Data Into Artificial Molecules

Information can be encoded into all sorts of patterns, whether it's short and long beeps for Morse code, raised bumps for Braille, or ones and zeroes for computers. Now researchers at the University of California, Berkeley and Ruhr-Universität Bochum have demonstrated a proof of concept for encoding information into artificial molecules, which could enable programmable materials or new types of computers. For more on MOFs, see our press release at Berkeley News.

Programmable synthetic materials

Artificial molecules could one day form the information unit of a new type of computer or be the basis for programmable substances. The information would be encoded in the spatial arrangement of the individual atoms – similar to how the sequence of base pairs determines the information content of DNA, or sequences of zeros and ones form the memory of computers.

Researchers create surface coating that can create false infrared images

Light can sometimes play tricks on our eyes. If you look at a shiny surface, what you see will largely depend on the surrounding environment and lighting conditions. Berkeley researchers have now taken ocular distortion a step further, finding a way to imbed visual “decoys” into surfaces of objects in a way that can fool people into thinking they detect a specific image in the infrared that actually isn’t there.

NASA Funds Shoebox-Size Space Satellite From Berkeley Students

In February, NASA announced it would cover, up to $300,000, the costs of launching a satellite built by a team of Berkeley students. Led by junior applied mathematics and physics student Paul Köttering, the project is part of the CubeSat Launch Initiative, which aims to fly shoebox-sized experiments as auxiliary payloads on nominal rocket launches. Köttering's launch, set for 2021, would build upon Berkeley physics research to test new navigation technology for satellites. To build the satellite, the team is raising money through crowdfunding and Berkeley's Big Give campaign, and they are seeking equipment donations from different manufacturers. With shelter-in-place rules, their work is continuing remotely, and Köttering hopes they'll be able to complete the project before he graduates.

Students’ shoebox-sized satellite gets green light for launch

Most graduating seniors expect to write a final thesis, or perhaps co-author a paper or present a poster or talk at an academic conference. By the time Paul Kӧttering graduates from the University of California, Berkeley, in 2021, he and his team hope to have launched a satellite.

UC Berkeley engineers convert sleep apnea machines into ventilators for COVID-19 patients

Ventilator SOS, a project co-led by mechanical engineering professor Grace O'Connell, is seeking donations of unwanted CPAP and BiPAP machines from people who may have used them for sleep apnea. They are converting the devices into much-needed ventilators for COVID-19 patients. "Tens of thousands of COVID-19 patients in this country and around the world will need respiratory support in the coming weeks and months," Professor O'Connell says. "We believe that using sleep apnea machines is a viable solution for non-ICU patients. This way, higher-grade ventilators can be reserved for patients with more advanced stages of respiratory disease." For more on the project, see this story at Berkeley Engineering.

First Do No Harm: We Need More (And Better) Ventilators

Mechanical engineering professor Grace O'Connell is co-leading a Berkeley effort to convert devices used to treat sleep apnea into much-needed ventilators for COVID-19 patients. In the schematic design she and her team developed, the modified CPAP or BIPAP machine accepts oxygen where ambient air enters the device. The oxygenated air is then filtered and delivered to a patient through an FDA-approved endotracheal tube, with the exhaled air re-filtered before being released. A volunteer community effort led by two students is gathering donated machines for conversion. It's estimated that there are 8-10 million machines available in American households for conversion. And since the devices and the components needed to convert them are readily available, these ventilators could be made available to patients much more quickly than newly manufactured ventilators. For more on this, see this story at Berkeley Engineering.

Getting the right equipment to the right people

Hospitals are suffering from an acute shortage of emergency medical supplies, including masks, gowns, gloves and ventilators. However, the medical industry is struggling to determine the places that need them the most. Bin Yu, a professor of statistics and of electrical engineering and computer sciences, is working with nonprofit organization Response4Life to connect suppliers with hospitals in need.

COVID-19 first target of new AI research consortium

The University of California, Berkeley, and the University of Illinois at Urbana-Champaign (UIUC) are the headquarters of a bold new research consortium established by enterprise AI software company C3.ai to leverage the convergence of artificial intelligence (AI), machine learning and the internet of things (IoT) to transform societal-scale systems.

Students make neutrons dance beneath Berkeley campus

In an underground vault enclosed by six-foot concrete walls and accessed by a rolling, 25-ton concrete-and-steel door, University of California, Berkeley, students are making neutrons dance to a new tune: one better suited to producing isotopes required for geological dating, police forensics, hospital diagnosis and treatment.

New chip could lead to cheaper and better medical imaging devices and self-driving cars

Berkeley engineers have created the fastest silicon-based, programmable two-dimensional optical phased array, built on micro-electro-mechanical systems (MEMS). This chip could lead to cheaper and more efficient medical-imaging devices, optical communications and holographic televisions. It could also give rise to more robust light detection and ranging (LiDAR) sensors for self-driving cars.

Wearable sensors detect what’s in your sweat

Needle pricks not your thing? A team of scientists at the University of California, Berkeley, is developing wearable skin sensors that can detect what’s in your sweat. They hope that one day, monitoring perspiration could bypass the need for more invasive procedures like blood draws, and provide real-time updates on health problems such as dehydration or fatigue.

You can’t squash this roach-inspired robot

If the sight of a skittering bug makes you squirm, you may want to look away — a new insect-sized robot created by researchers at the University of California, Berkeley, can scurry across the floor at nearly the speed of a darting cockroach.

With a hop, a skip and a jump, high-flying robot leaps over obstacles with ease

Researchers at the University of California, Berkeley, first unveiled Salto’s high-flying capabilities in 2016. Now, they’ve equipped the robot with a slew of new skills, giving it the ability to bounce in place like a pogo stick and jump through obstacle courses like an agility dog. Salto can even take short jaunts around campus, powered by a radio controller.

Squishy robots can drop from a helicopter and land safely

New soccer-ball-shaped robots, created by engineers at UC Berkeley and Squishy Robotics, have the remarkable ability to fall from a height of more than 600 feet and be no worse for wear. Built of a network of rods linked by contracting cables, they can also shapeshift in order to crawl from one point to another.

Meet Blue, the low-cost, human-friendly robot designed for AI

Enter Blue, a new low-cost, human-friendly robot conceived and built by a team of researchers at the University of California, Berkeley. Blue was designed to use recent advances in artificial intelligence (AI) and deep reinforcement learning to master intricate human tasks, all while remaining affordable and safe enough that every artificial intelligence researcher — and eventually every home — could have one.

‘Ambidextrous’ robots can learn to pick up anything

From spoons to stuffed animals, humans learn early in life how to pick up objects that have a variety of shapes, textures and sizes. A new machine-learning algorithm developed by engineers at UC Berkeley can teach robots to grasp and carry items with similar dexterity.
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