Lifeboat Foundation

The demo is clever, questionably real, and prompts a lot of questions about how this device will actually work.

Buzz has been building around the secretive tech startup Humane for over a year, and now the company is finally offering a look at what it’s been building. At TED last month, Humane co-founder Imran Chaudhri gave a demonstration of the AI-powered wearable the company is building as a replacement for smartphones. Bits of the video leaked online after the event, but the full video is now available to watch.

The device appears to be a small black puck that slips into your breast pocket, with a camera, projector, and speaker sticking out the top.

Continue reading “Humane’s new wearable AI demo is wild to watch — and we have lots of questions” »

You may not have heard of piezoelectric materials, but odds are, you have benefitted from them.

Piezoelectric materials are solid materials —like crystals, bone or proteins—that produce an electric current when they are placed under mechanical stress.

Materials that harvest energy from their surroundings (through light, heat and motion) are finding their way into solar cells, wearable and implantable electronics and even onto spacecraft. They let us keep devices charged for longer, maybe even forever, without the need to connect them to a power supply.

In a new study in Nature Machine Intelligence, researchers Bojian Yin and Sander Bohté from the HBP partner Dutch National Research Institute for Mathematics and Computer Science (CWI) demonstrate a significant step towards artificial intelligence that can be used in local devices like smartphones and in VR-like applications, while protecting privacy.

They show how brain-like neurons combined with novel learning methods enable training fast and energy-efficient spiking neural networks on a large scale. Potential applications range from wearable AI to speech recognition and Augmented Reality.

While modern artificial neural networks are the backbone of the current AI revolution, they are only loosely inspired by networks of real, biological neurons such as our brain. The brain however is a much larger network, much more energy-efficient, and can respond ultra-fast when triggered by external events. Spiking neural networks are special types of neural networks that more closely mimic the working of biological neurons: the neurons of our nervous system communicate by exchanging electrical pulses, and they do so only sparingly.

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Jizai Arms.

“Half a century since the concept of a cyborg was introduced, Jizai-bodies (digital cyborgs), enabled by the spread of wearable robotics, are the focus of much research in recent times,” states the company’s website.

Yichen Cai creates thin, flexible devices that could have myriad uses, from wearable blood-pressure monitors to touch sensors for robots.

A team from Newcastle University and Northumbria University in the UK has found that the thin, root-like threads produced by many fungi can potentially be used as a biodegradable, wearable material that’s also able to repair itself.

In their tests, the researchers focused on the Ganoderma lucidum fungus, producing a skin from branching filaments known as hyphae, which together weave into a structure called a mycelium.

With a little more work the fragile skins could serve as a substitute for leather, satisfying vegan, environmental, and fashion tastes, though the process of its creation also needs to be sped and scaled up before it can be transformed into next season’s jacket.

Scientists have invented a simple metallic coating treatment for clothing or wearable textiles, which can repair itself, repel bacteria, and even monitor a person’s electrocardiogram (ECG) heart signals.

This is according to a press release by Flinders University published last month.

The inventors of the new coating say the conductive circuits created by liquid metal (LM) particles can transform wearable electronics due to the fact that the ‘breathable’ electronic textiles have special connectivity powers to ‘autonomously heal’ themselves even when cut.

Applying machine learning models, a type of artificial intelligence (AI), to data collected passively from wearable devices can identify a patient’s degree of resilience and well-being, according to investigators at the Icahn School of Medicine at Mount Sinai in New York.

The findings, reported in the May 2 issue of JAMIA Open, support wearable devices, such as the Apple Watch, as a way to monitor and assess psychological states remotely without requiring the completion of mental health questionnaires.

The paper, titled “A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort,” points out that resilience, or an individual’s ability to overcome difficulty, is an important stress mitigator, reduces morbidity, and improves chronic disease management.

The U.S. Department of Defense (DOD) invented a wearable during the pandemic that was extremely adept at identifying infections.

This is according to a press release by the department published on Thursday.

Now the organization is ready to take the next steps in what it calls the Rapid Assessment of Threat Exposure project, also known as the RATE program.