The machine complements the work of skilled doctors without replacing them.
Surgical robots that can assist in medical procedures are increasingly gaining traction as they help doctors perform better and allow patients to heal faster.
There’s the famous DaVinci Surgery system that is equipped with highly dexterous robot arms that can be manipulated to complete precise cutting and stitching. In the UK, robots are helping thousands of women plagued by the painful womb condition endometriosis while in Canada robot-assisted deep brain stimulation surgeries are aiding patients suffering from epilepsy.
The shuttle is electric and has no driver’s seat or steering wheel.
San Francisco has launched a new service that lets people ride a driverless shuttle around Treasure Island, a former naval base in the middle of the bay. The free shuttle, which runs daily on a fixed route, is part of a pilot program to test how autonomous vehicles can improve public transportation.
Amidst rife competition from the likes of OpenAI, Baidu, and Microsoft, Google looks into the possibility of creating innovative tools using generative AI to create personalized life coaches.
In the ever-intensifying race to dominate the field of artificial intelligence, tech giant Google has been making significant strides to stand at the forefront.
Earlier this year, Google merged its London-based research lab, DeepMind, with its Silicon Valley-based artificial intelligence team, Brain, marking a pivotal move in its endeavor to harness generative AI technology.
The satellite’s developer says it has an onboard intelligent processing unit that allows it process data without sending it back to ground controlThe company hopes it could one day be used to monitor environmental conditions or support emergency relief efforts.
A Chinese company has launched a satellite that has powerful artificial intelligence at its core, with the final aim of creating a self-controlled spaceship.
The WonderJourney-1A, or WJ-1A, which blasted off from the Jiuquan Satellite Launch Centre in Inner Mongolia earlier this month, has an onboard intelligent processing unit known as the String Edge AI Platform.
Soundtrack: https://melodysheep.bandcamp.com/album/the-human-future-original-soundtrack Patreon: http://patreon.com/melodysheep Change is coming. Humanity is entering a turbulent new era, unprecedented in both Earth and Human history. To survive the coming centuries and fulfill our potential as a species, we will have to overcome the biggest challenges we have ever faced, from extreme climate change, to rogue A.I., to the inevitable death of the sun itself.
The headlines make our chances look bleak. But when you look at our history and our tenacity, it’s clear that humanity is uniquely empowered to rise to the challenges we face.
If we succeed, our potential is cosmic in scale. Incredible prosperity is within our reach. Being optimistic is not only justified, it’s a powerful weapon in the fight for a higher future. – Story, visual effects, music & Sound by melodysheep (John D. Boswell) Narrated by Will Crowley.
Soundtrack coming soon to all major music platforms.
Thank you to Protocol Labs for sponsoring this video: protocol.ai.
Artificial Intelligence makes art, knows more than many humans and works faster than they do. But will people accept AI-controlled social robots working in the service industry or entertaining those in need of care?
What does a robot need to have to be accepted as a social partner by a human being? Does it need a face? Should the machine understand — or even show — emotions?
The psychologist, neurologist and philosopher Agnieszka Wykowska, currently researching at the Italian Institute of Technology in Genoa, says: “We tend to humanize everything. We even see faces in car hoods. This is further reinforced whenever a robot demonstrates humanlike behavior.
In a care home for the elderly in Rendsburg, the film shows what sort of relationship forms between residents and robots. Hannes Eilers from the Kiel University of Applied Sciences is carrying out tests there with robots for health insurance companies. The robots sing with the elderly people, play games or demonstrate physio exercises. The one thing they’re not allowed to do with them is pray. The systems there function autonomously. This means they can’t access an AI server, so they abide by data protection laws.
But AI servers are already controlling much of our communication. They don’t just suggest what we should read, eat or buy next: ‘chatbots’ also serve as personal contacts. At the Massachusetts Institute of Technology (MIT) in Boston, the scientist Hossein Rahnama is working on perfecting the appearance and communication skills of chatbots like these. His view: “We now have access to such immense computing power and data that we can create a digital version of every person. Before too long, we can even make them sentient.
In future, will we be able to tell the difference between a flesh-and-blood human, and their digital clone?
Ticking clocks and flashing fireflies that start out of sync will fall into sync, a tendency that has been observed for centuries. A discovery two decades ago therefore came as a surprise: the dynamics of identical coupled oscillators can also be asynchronous. The ability to fall in and out of sync, a behavior dubbed a chimera state, is generic to identical coupled oscillators and requires only that the coupling is nonlocal. Now Yasuhiro Yamada and Kensuke Inaba of NTT Basic Research Laboratories in Japan show that this behavior can be analyzed using a lattice model (the XY model) developed to understand antiferromagnetism [1]. Besides a pleasing correspondence, Yamada and Inaba say that their finding offers a path to study the partial synchronization of neurons that underlie brain function and dysfunction.
The chimera states of a system are typically analyzed by looking at how the relative phases of the coupled oscillators fall in and out of sync. But that approach struggles to describe the system when the system contains distantly separated pockets of synchrony or when there are nontrivial configurations of the oscillators, such as twisted or spiral waves. It also requires knowledge of the network’s structure and the oscillators’ equations of motion.
In seeking an alternative approach, Yamada and Inaba turned to a two-dimensional lattice model used to tackle phase transitions in 2D condensed-matter systems. A crucial ingredient in that model is a topological defect called a vortex. Yamada and Inaba found that they could embody the asynchronous dynamics of pairs of oscillators by formulating the problem in terms of an analogous quantity that they call pseudovorticity, whose absence indicates synchrony and whose presence indicates asynchrony. Their calculations show that their pseudo-vorticity-containing lattice model can successfully recover the chimera state behavior of a simulated neural network made up of 200 model oscillators of a type commonly used to study brain activity.
