Lifeboat Foundation

Sarcos Robotics, a startup developing robots for industrial and defense applications, today nabbed $40 million in equity financing, bringing its total venture capital raised to nearly $100 million. The company plans to use the capital to commercialize its first full-body, self-powered product — the Guardian XO — ahead of an anticipated 2021 ship date.

According to a 2020 Grand View Research report, the exoskeleton market could be worth $4.2 billion by 2027. The firm sees adoption growing steeply in health care, where exoskeletons could address the increased prevalence of spinal cord injuries in industries like security, disaster recovery, infrastructure inspection and maintenance, maritime, oil and gas, and mining. The National SCI Statistical Center reported 17,730 new spinal cord injuries in 2019 in the U.S. alone.

Sarcos spun out from the University of Utah in 1983 and for years operated as a bioengineering research institution. By 2000, the lab had expanded into segments like animated film props, prostheses, and human-computer interfaces. A DARPA grant to develop a military exoskeleton steered Sarcos toward defense applications. After DARPA accepted Sarcos’ proposal in 2006, the company began developing prototypes and contracted with the U.S. Navy to pilot salvage robots.

Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.

Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.

A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.

Brad Porter, who recently defended working conditions at Amazon warehouses, leaves to run Scale’s tech division.

Adapting the Intelligence Community

As machines become the primary collectors, analysts, consumers, and targets of intelligence, the entire U.S. intelligence community will need to evolve. This evolution must start with enormous investments in AI and autonomization technology as well as changes to concepts of operations that enable agencies to both process huge volumes of data and channel the resulting intelligence directly to autonomous machines. As practically everything becomes connected via networks that produce some form of electromagnetic signature or data, signals intelligence in particular will need to be a locus of AI evolution. So will geospatial intelligence. As satellites and other sensors proliferate, everything on earth will soon be visible at all times from above, a state that the federal research and development center Aerospace has called the “GEOINT Singularity.” To keep up with all this data, geospatial intelligence, like signals intelligence, will need to radically enhance its AI capabilities.

The U.S. intelligence community is currently split up into different functions that collect and analyze discrete types of intelligence, such as signals or geospatial intelligence. The RIA may force the intelligence community to reassess whether these divisions still make sense. Electromagnetic information is electromagnetic information, whether it comes from a satellite or an Internet of Things device. The distinction in origin matters little if no human ever looks at the raw data, and an AI system can recognize patterns in all of the data at once. The division between civilian and military intelligence will be similarly eroded, since civilian infrastructure, such as telecommunications systems, will be just as valuable to military objectives as military communications systems. Given these realities, separating intelligence functions may impede rather than aid intelligence operations.

Amazon received federal approval to operate its fleet of Prime Air delivery drones, the Federal Aviation Administration said Monday, a milestone that allows the company to expand unmanned package delivery.

The approval will give Amazon broad privileges to “safely and efficiently deliver packages to customers,” the agency said. The certification comes under Part 135 of FAA regulations, which gives Amazon the ability to carry property on small drones “beyond the visual line of sight” of the operator.

Amazon said it will use the FAA’s certification to begin testing customer deliveries. The company said it went through rigorous training and submitted detailed evidence that its drone delivery operations are safe, including demonstrating the technology for FAA inspectors.

Amazon Prime Air has cleared a regulatory hurdle, moving the online retail giant one step closer to dropping packages off at your doorstep with drones. The US Federal Aviation Administration on Saturday issued Amazon Prime Air a “a Part 135 air carrier certificate,” allowing it to begin commercial drone deliveries in the US.

“Amazon Prime Air’s concept uses autonomous [unmanned aircraft systems] to safely and efficiently deliver packages to customers,” said a spokesperson for the FAA on Monday. “The FAA supports innovation that is beneficial to the public, especially during a health or weather-related crisis.”

Amazon and other companies are trying to make drones the future of deliveries.

Scientists have unveiled the first ever “living robot,” an organism made up of living cells, which can move around, carry payloads, and even heal itself.

“All of the computational people on the project, myself included, were flabbergasted,” said Joshua Bongard, a computer scientist at the University of Vermont.

Continue reading “Scientists create a robot made entirely of living cells” »

FRAMOS, the global partner for Vision Technologies, has developed an industrial grade version of Intel’s® RealSense™ Suite to provide Gigabit Ethernet connectivity and an IP66 rated housing. The D435e industrial 3D GigE Vision camera leverages the advantages of easy-to-integrate 3D vision in rugged environments; enabling real-time positioning, orientation and tracking of robots, automated guided vehicles, and smart machines.

Christopher Scheubel, Product Manager for Intel at FRAMOS, says: “Providing an ethernet solution in combination with Intel’s® RealSense™ Technology is key to enabling 3D vision applications for industry that require longer cable lengths, dust and water resistance, and locked connections. Applications like robotic pick and place systems, automated guided vehicles (AGVs), retail observation, or automatic patient positioning, benefit from the very robust implementation and high usability.”

When Gary Kasparov was dethroned by IBM’s Deep Blue chess algorithm, the algorithm did not use Machine Learning, or at least in the way that we define Machine Learning today.