Lifeboat Foundation

After breaking all the records related to training computer vision models, NVIDIA now claims that it’s AI platform is able to train a natural language neural network model based on one of the largest datasets in a record time. It also claims that the inference time is just 2 milliseconds which translates to an extremely fast response from the model participating in a conversation with a user.

After computer vision, natural language processing is one of the top applications of AI. From Siri to Alexa to Cortana to Google Assistant, all conversational user experiences are powered by AI.

The advancements in AI research is putting the power of language understanding and conversational interface into the hands of developers. Data scientists and developers can now build custom AI models that work exactly like Alexa and Siri but for a specialized and highly customized industry use case from the healthcare or legal vertical. This enables doctors and lawyers to interact with expert agents that can understand the terminology and the context of the conversation. This new user experience is going to be a part of future line of business applications.

Study finds that Alzheimer’s damage allows toxins to enter the brain, further harming neurons.

Aren Jay shared this cogent article to my Timeline… It is not new even Hippocrates was able to determine that the gut causes and or assists in all diseases. But the 19th and 20th centuries researchers began saying that microbes are good for mankind which sent science reeling through generations until this day… Respect r.p.berry & AEWR wherein we have developed a formula and Algorithm that deals with this very serious problem completely. A very expensive cure but one that will take Woman-Man past the Escape Velocity so many have written about…

Today, we’re offering another discussion from Ending Age-Related Diseases 2019, our highly successful two-day conference that featured talks from leading researchers and investors, bringing them together to discuss the future of aging and rejuvenation biotechnology.

Today, we’re offering another talk from Ending Age-Related Diseases 2019, our highly successful two-day conference that featured talks from leading researchers and investors, bringing them together to discuss the future of aging and rejuvenation biotechnology.

Continue reading “Ronald Kohanski at Ending Age-Related Diseases 2019” »

A Luxembourg company is working to develop 3D printers which will create human skin on board a spaceship while out in space.

Space company, Blue Horizon, based in Betzdorf, is working with German company OHB SE – of which it is subsidiary –and the Technical University of Dresden to develop the printers.

Harvard University researchers have developed a new powered exosuit that can make you feel as much as a dozen pounds lighter when walking or running. Scientific American reports that the 11-pound system, which is built around a pair of flexible shorts and a motor worn on the lower back, could benefit anyone who has to cover large distances by foot, including recreational hikers, military personnel, and rescue workers.

According to the researchers, who have published their findings in the journal Science, this system differs from previous exosuits because it’s able to make it easier to both walk and run. The challenge, as shown by a video accompanying the research, is that your legs work very differently depending on whether you’re walking or running. When walking, the team says your center of mass moves like an “inverted pendulum,” while running causes it to move like a “spring-mass system.” The system needs to be able to accommodate both of them, and sense when the wearer’s gait changes.

Over-conservative climate scenarios mean we could face ‘world of outright chaos’, says analysis authored by former fossil fuel executive and backed by former head of Australia’s military.

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Stanford engineers have developed a new type of wearable technology called BodyNet that detects physiological signals emanating from the skin. The novel tech consists of wireless sensors that stick like band-aids and beam readings.

A body area sensor network (bodyNET) is a collection of networked sensors that can be used to monitor human physiological signals. For its application in next-generation personalized healthcare systems, seamless hybridization of stretchable on-skin sensors and rigid silicon readout circuits is required. Here, we report a bodyNET composed of chip-free and battery-free stretchable on-skin sensor tags that are wirelessly linked to flexible readout circuits attached to textiles. Our design offers a conformal skin-mimicking interface by removing all direct contacts between rigid components and the human body. Therefore, this design addresses the mechanical incompatibility issue between soft on-skin devices and rigid high-performance silicon electronics. Additionally, we introduce an unconventional radiofrequency identification technology where wireless sensors are deliberately detuned to increase the tolerance of strain-induced changes in electronic properties. Finally, we show that our soft bodyNET system can be used to simultaneously and continuously analyse a person’s pulse, breath and body movement.