Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI

We have achieved strong, fast, power-dense, high-efficiency, biomimetic, soft, safe, clean, organic and affordable robotic technology. Dumbbell weights 7 kg (15,6 lbs) 0 forearm with hand only 1 kg (2,2 lbs).

This artificial muscles robotic arm is operated by water and consumes 200W at peak. We invent and produce portable power supply and our own electro-hydraulic mini valves to have complete controllability of speed contraction and compress the whole powering system (for a full body) inside humanlike robot torso.

At this moment our robotic arm is operated only by a half of artificial muscles when compared to a human body. Strongest finger-bending muscle still missing. Fingers are going to move from left to right but they don’t have muscles yet. Metacarpal and left-to-right wrist movement are also blocked. This version has a position sensor in each joint but they are yet to be software-implemented. We are going to add everything mentioned above in the next prototype.

The movement sequence was written and sent by simple commands to a hand. We wish to develop a platform for reinforcement learning purposes, prosthetic arms and ultimately a full humanoid robots to serve people for fun, as butlers, cleaners, chauffeurs, construction workers (also in space) and even achieve human immortallity by transplanting the brain into the machine.

If you want to see updates on the project, please share, like, comment and hit that subscribe button. You can also support us directly on Patreon:
https://www.patreon.com/automatonrobotics.

Wesprzyj Rodaku nasz projekt na Patronite:
https://patronite.pl/LukaszKozlik.

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It seems inevitable that sooner or later, the performance of autonomous drones will surpass the performance of even the best human pilots. Usually things in robotics that seem inevitable happen later as opposed to sooner, but drone technology seems to be the exception to this. We’ve seen an astonishing amount of progress over the past few years, even to the extent of sophisticated autonomy making it into the hands of consumers at an affordable price.

The cutting edge of drone research right now is putting drones with relatively simple onboard sensing and computing in situations that require fast and highly aggressive maneuvers. In a paper published yesterday in Science Robotics, roboticists from Davide Scaramuzza’s Robotics and Perception Group at the University of Zurich along with partners at Intel demonstrate a small, self-contained, fully autonomous drone that can aggressively fly through complex environments at speeds of up to 40kph.

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When’s the last time you chirped, “Hey Google” (or Siri for that matter), and asked your phone for a recommendation for good sushi in the area, or perhaps asked what time sunset would be? Most folks these days perform these tasks on a regular basis on their phones, but you may not have realized there were multiple AI (Artificial Intelligence) engines involved in quickly delivering the results for your request.

In these examples, AI neural network models were used to process natural language recognition, and then also inferred what you were looking for, to deliver relevant search results from internet databases around the globe, but also targeting the most appropriate results based on your location and a number of other factors as well. These are just a couple of examples but, in short, AI or machine learning processing is a big requirement of smartphone experiences these days, from recommendation engines to translation, computational photography and more.

As such, benchmarking tools are now becoming more prevalent, in an effort to measure mobile platform performance. MLPerf is one such tool that nicely covers the gamut of AI workloads, and today Qualcomm is highlighting some fairly impressive results in a recent major update to the MLCommons database. MLCommons is an open consortium comprised of various chip manufacturers and OEMs with founding members like Intel, NVIDIA, Arm, AMD, Google, Qualcomm and many others. The consortium’s MLPerf benchmark measures AI workloads like image classification, natural language processing and object detection. And today Qualcomm has tabulated benchmark results from its Snapdragon 888+ Mobile Platform (a slightly goosed-up version of its Snapdragon 888) versus a myriad of competitive mobile chipsets from Samsung, MediaTek and even and Intel’s 11th Gen Core series laptop chips.

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The effects of AI on society are not just limited to the workplace. Recently, there has been a lot of talk about how AI will affect our social interactions and how we create and experience social spaces.

AI-driven architecture for social spaces presents us with new opportunities as well as challenges. In his work, Babar Kasam Cazir explores the implications of how artificial intelligence could change socioeconomic dynamics — specifically in event spaces — through its ability to analyze patterns at scale.

Full Story:

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Heating bills are expected to soar for the 2021–22 winter after a spike in oil prices amid a global pivot away from fossil fuels.

The company, trying to assert its lead as a supplier of processors for AI-powered robotics apps, announced a host of new technologies.

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In a world first, US scientists on Thursday piloted a camera-equipped ocean drone that looks like a robotic surfboard into a Category 4 hurricane barreling across the Atlantic Ocean.

Dramatic footage released by the National Oceanic and Atmospheric Administration showed the small craft battling 50-feet (15 meter) high waves and winds of over 120 mph (190 kph) inside Hurricane Sam.

The autonomous vehicle is called a “Saildrone” and was developed by a company with the same name.

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In a wide-ranging interview at the WSJ Tech Live conference that touched on topics like the future of remote work, AI innovation, employee activism and even misinformation on YouTube, Alphabet CEO Sundar Pichai also shared his thoughts on the state of tech innovation in the U.S. and the need for new regulations. Specifically, Pichai argued for the creation of a federal privacy standard in the U.S., similar to the GDPR in Europe. He also suggested it was important for the U.S. to stay ahead in areas like AI, quantum computing and cybersecurity, particularly as China’s tech ecosystem further separates itself from Western markets.

In recent months, China has been undergoing a tech crackdown, which has included a number of new regulations designed to combat tech monopolies, limit customer data collection and create new rules around data security, among other things. Although many major U.S. tech companies, Google included, don’t provide their core services in China, some who did are now exiting — like Microsoft, which just this month announced its plan to pull LinkedIn from the Chinese market.

Pichai said this sort of decoupling of Western tech from China may become more common.

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The reason AI exists is to make our lives simpler, actions faster, knowledge more usable and decision-making more assured. In these regards, AI has done a fine job and continues to do so in both personal and professional contexts. Despite this, you would come across countless concerns about the ‘ethical issues’ posed by the technology. Pay closer attention, and you will realize that most of these issues stem from human negligence or ignorance.

It goes without saying that the relationship between AI and human rights can only be as good as we humans enable it to be. AI-powered systems act on the basis of how competently they have been built and trained. So, executing those two tasks ethically can make sure that AI tools and applications will never violate any human right.

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