Lifeboat Foundation

(Vanderbilt University, University of Szeged, Budapest University of Technology and Economics)—Team leveraging their radio expertise to create AI “advisors” that shift their radio systems’ strategies on the fly.

With its whirring rotary blades and extendable cutting arm it would not look out of place stalking the streets of a futuristic urban dystopia.

But Edinburgh University’s new robot has actually been developed to pootle sedately around the garden, pruning rose bushes and trimming topiary.

The semi-autonomous machine — dubbed Trimbot — is programmed to recognise leaves, stalks and flowers, so it does not inadvertently dead-head the living blooms.

Many advanced artificial intelligence projects say they are working toward building a conscious machine, based on the idea that brain functions merely encode and process multisensory information. The assumption goes, then, that once brain functions are properly understood, it should be possible to program them into a computer. Microsoft recently announced that it would spend US$1 billion on a project to do just that.

So far, though, attempts to build supercomputer brains have not even come close. A multi-billion-dollar European project that began in 2013 is now largely understood to have failed. That effort has shifted to look more like a similar but less ambitious project in the U.S., developing new software tools for researchers to study brain data, rather than simulating a brain.

Some researchers continue to insist that simulating neuroscience with computers is the way to go. Others, like me, view these efforts as doomed to failure because we do not believe consciousness is computable. Our basic argument is that brains integrate and compress multiple components of an experience, including sight and smell – which simply can’t be handled in the way today’s computers sense, process and store data.

To determine whether robots have a felt quality of experience, we’ll have to ask them, and ourselves, several probing questions — i.e., “Can the mind existing separately from the body?” “Can the system exist without the computer?”

They’ll also need to possess the right “architectural features.” In this video, NASA’s Dr. Susan Schneider explains more.

Space — also commonly known as the final frontier — has left us in a state of awe since we ever first laid eyes on it. Inspired by numerous works of science fiction, we’ve made it a mission of ours to not only explore space but to colonize its planets as we continue searching for a secondary home.

And while our efforts have been mildly successful thus far, a group of non-biological “creatures” have already achieved the difficult task of conquering space. They’re known as robots.

Whether on the International Space Station (ISS) or on another planet, these automated machines have extended our reach into the cosmos far better than any actual human hand has accomplished. It all started in 1969 when the Soviets made the first attempt to land a robotic rover, known as Lunokhod 0, onto the Lunar surface of our Moon. Unfortunately for the Soviets, the rover was unsuccessful in its landing; instead crashing down after a failed start.

Intel has unveiled two new processors as part of its Nervana Neural Network Processor (NNP) lineup with an aim to accelerate training and inferences drawn from artificial intelligence (AI) models.

Dubbed Spring Crest and Spring Hill, the company showcased the AI-focused chips for the first time on Tuesday at the Hot Chips Conference in Palo Alto, California, an annual tech symposium held every August.

Intel RealSense technologies offer a variety of vision‑based solutions to give your products the ability to understand and perceive the world in 3D. When combined with the Intel Neural Compute Stick 2, which re‑defined the AI at the edge development kit, you get low power, high performance intelligent computer vision at low cost for your prototype.

Depth sensing meets plug-and-play AI at the edge inferencing with Intel® RealSense™ stereo depth cameras bundled with the Intel® Neural Compute Stick 2.

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In sala operatoria oltre ai chirurghi c’erano alcuni ingegneri. Il paziente, un ragazzino di 13 anni, ha un grave problema congenito, la microtia, che comporta il mancato sviluppo dell’orecchio esterno (colpisce 5 bambini su 10mila). Grazie alla stampa 3D i medici dell’ospedale pediatrico Meyer di Firenze gli hanno ricostruito l’orecchio da zero. Sei ore di operazione, partita da una Tac con cui è stata acquisita l’esatta forma delle cartilagini. Poi, grazie a un software, è stata realizzata una copia delle cartilagini: dal modello è stato possibile vedere la porzione di cartilagini da prelevare. Per essere più precisi sulla forma, cercando di ottenere un risultato il più naturale possibile, è stato usato come modello un orecchio della mamma del ragazzino.

Una volta in sala operatoria la copia è stata fondamentale per plasmare le cartilagini ottenendo un orecchio “normale”. L’intervento è stato simulato più volte dal team dell’ospedale pediatrico fiorentino. Questo, come spiega lo staff del Meyer, ha consentito di affinare la tecnica arrivando a un risultato di grandissima precisione, riducendo anche tempi di esecuzione e anestesia. Il bambino tra qualche mese verrà sottoposto a un secondo intervento per ricostruire con la stessa tecnica anche il secondo orecchio.

“Per un bambino con una malformazione che era così evidente, il recupero estetico acquista una grande valenza psicologica e sociale – spiega il capo dell’equipe chirurgica Flavio Facchini, specialista in chirurgia plastica e ricostruttiva -. Lui non aveva problemi di udito, ma la malformazione gli creava grande disagio”.