Lifeboat Foundation

But even though money is necessary, it’s not sufficient to provide human beings a sense of satisfaction, Obama cautioned. As more and more tasks and services become automated with the rise of artificial intelligence, “that’s going to make the job of giving everybody work that is meaningful tougher, and we’re going to have to be more imaginative, and the pace of change is going to require us to do more fundamental re-imagining of our social and political arrangements, to protect the economic security and the dignity that comes with a job.”

The former president says “we’re going to have to consider new ways of thinking” as technology threatens current labor markets.

Our Fast Lightweight Autonomy program recently completed Phase 2 flight tests, demonstrating advanced algorithms designed to turn small air and ground systems into team members that can autonomously perform tasks dangerous for humans — such as pre-mission reconnaissance in a hostile urban setting or searching damaged structures for survivors following an earthquake.

“Will machines replace humans?” This question is on the mind of anyone with a job to lose. Daniel Susskind confronts this question and three misconceptions we have about our automated future, suggesting we ask something else: How will we distribute wealth in a world when there will be less — or even no — work?

The Robots are Coming!

Agricultural scientists are turning to emerging technologies, such as robotics and AI, to help deal with the challenges associated with modern-day farming. Here are some of the tech being harvested today.

The engines of an airplane are complicated machines with plenty of hard-to-reach places, and keeping them in working order requires a lot of time and maintenance. The future of this task, as Rolls-Royce sees it, could involve deploying different kinds of of robots that patrol these aircraft parts and quickly nip any problems in the bud.

Co-founder of Google DeepMind and CEO of SpaceX amongst the 2,400 signatories of pledge to block lethal autonomous weapons.

Ian Sample Science editor.

Google researchers, in collaboration with the Max Planck Institute of Neurobiology, have developed a neural network that maps neurons inside the brain more accurately than previous methods.

An artificial neural network that’s made entirely from DNA and mimics the way the brain works has been created by scientists in the lab.

The test tube artificial intelligence can solve a classic machine learning problem by correctly identifying handwritten numbers.

Continue reading “Scientists have created an AI inside a test tube using strands of DNA, and they hope it will soon start to form its own ‘memories’” »

Imagine a natural disaster scenario, such as an earthquake, that inflicts widespread damage to buildings and structures, critical utilities and infrastructure, and threatens human safety. Having the ability to navigate the rubble and enter highly unstable areas could prove invaluable to saving lives or detecting additional hazards among the wreckage. Partnering rescue personnel with robots to evaluate high-risk scenarios and environments can help increase the likelihood of successful search and recovery efforts, or other critical tasks while minimizing the threat to human teams.

“Whether in a natural disaster scenario, a search and rescue mission, a hazardous environment, or other critical relief situation, robots have the potential to provide much needed aide and support,” said Dr. Ronald Polcawich, a DARPA program manager in the Microsystems Technology Office (MTO). “However, there are a number of environments that are inaccessible for larger robotic platforms. Smaller robotics systems could provide significant aide, but shrinking down these platforms requires significant advancement of the underlying technology.”

Technological advances in microelectromechanical systems (MEMS), additive manufacturing, piezoelectric actuators, and low-power sensors have allowed researchers to expand into the realm of micro-to-milli robotics. However, due to the technical obstacles experienced as the technology shrinks, these platforms lack the power, navigation, and control to accomplish complex tasks proficiently.