AI News, IBM Watson sees early artificial intelligence
What 5 new innovations will open source yield in the 2020s? – IBM Developer
When I look back to where technology was in 2010, it’s astounding to think about how much has changed — and how so many of those advancements were fueled by open source.
Ten years ago, AI was not a part of our everyday lives, most developers hadn’t even heard of containers or microservices, blockchain was little more than an idea, and serverless was a far-off dream.
Now these technologies, built on open source projects and the communities that surround them, are shaping how developers do their jobs and how people interact with technology on a daily basis.
In the next decade, we anticipate that open source projects such as Istio, Kubernetes, and OKD will focus on making containers and microservices smaller and faster to serve the needs of cloud-native development and to reduce the container’s attack surface.
Keep an eye on unikernels (executable images that contain system libraries, a language runtime, and necessary applications), which may also gain traction thanks to the open source communities around them.
Now, AI is part of our everyday lives — we interact with Siri and Alexa daily, talk with customer service chatbots regularly, use facial recognition to unlock our gadgets, and are nearing the advent of fully autonomous self-driving cars.
In the next decade, it’s imperative that we turn our attention to not only making AI smarter and more accessible but to building trust into AI systems, ensuring that AI systems make decisions in a fair manner, aren’t vulnerable to tampering, and can be explained.
That innovation made people start to wonder about different ways that the blockchain concepts and technology might be applied in non-cryptocurrency use cases — in asset management, supply chains, healthcare, and identity, among others.
The possibilities for how quantum computing will solve problems and interact with today’s technology seem endless, and getting quantum ready to code on today’s early systems is a great place to start since quantum computing could impact a wide range of domains, such as chemistry, finance, artificial intelligence, and others.
The trends of the past decade — the rise of containers, microservices, and serverless, the ubiquity of AI in our lives, the new uses for blockchain and quantum — were all driven by open source and the power of open source communities.
International Business Machines : Airbus - Astronaut assistant CIMON-2 is on its way to the International Space Station; Human-machine interaction and artificial intelligence in space New technology demonstrator with improved 'sense of direction' and 'empathy'
Airbus - Cape Canaveral - A new CIMON for the International Space Station (ISS): CIMON-2 (Crew Interactive MObile companioN) lifted off on its journey into space on 5 December 2019.
'CIMON-1 - our prototype - landed back on Earth on 27 August 2019 after spending 14 months on the ISS, and has now arrived at Airbus in Friedrichshafen,' says Dr Christian Karrasch, CIMON Project Manager at the German Aerospace Center (Deutsches Zentrum fur Luft- und Raumfahrt;
'Another key point in CIMON's evolution is its extended service life: 'During this mission, we are also considering further steps, such as uploading the AI to a cloud on the ISS.' This would represent a milestone in the development of a completely autonomous assistance system.
This means CIMON-2 can, if required, switch from being a scientific assistant to an empathetic conversation partner.' The CIMON 'family' The interactive astronaut assistant CIMON was developed and built by Airbus in Friedrichshafen and Bremen on behalf of the German Aerospace Center Space Administration (DLR) and funded by the German Federal Ministry for Economic Affairs and Energy.
The prototype of the technology experiment was on board the ISS from 2 July 2018 to 27 August 2019, and made its 90-minute debut - a world first - on 15 November 2018 with German ESA astronaut Alexander Gerst.
CIMON can orientate itself using its 'eyes' - a stereo camera and a high-resolution camera that it uses for facial recognition - as well as two other cameras fitted to its sides that it uses for photos and video documentation.
@AirbusSpace @DLR_en @Space_Station @astro_CIMON #CIMON #ISS #SpX19 Your Contact Ralph Heinrich Head of Media Relations Space Systems +49 171 304 9751 Jeremy Close Media Relations Space Systems, UK +44 776 653 6572 Guilhem Boltz Media Relations Space Systems, France +33 6 3478 1408 Francisco Lechon Media Relations Space Systems, Spain +34 630 196 993 Mathias Pikelj Media Relations Space Systems, Germany +49 162 294 9666 Elisabeth MITTELBACH DLR +49 0 228 447 385 (C) 2019 Electronic News Publishing, source ENP Newswire
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The famous Nazca Lines are intricate designs in the ground that cover an estimated 170 square miles in southern Peru.
The large-scale etchings depicting people, animals and objects date to 2,000 years ago, when a pre-Inca civilization laid them in the Nazca Desert.
Researchers from Yamagata University in Japan detected 142 of the 143 geoglyphs by performing fieldwork and analyzing high-resolution 3D data, and they detected the final glyph using artificial intelligence in partnership with IBM Japan.
The Nazca Lines discovered so far consist of 800 straight lines, over 300 geometric designs and more than 70 animal and plant geoglyphs.
Yamagata researchers think ancient people created the 143 newly-discovered glyphs “by removing the black stones that cover the land, thereby exposing the white sand beneath,”
Researchers separated these glyphs into two groups: type A, which are larger, made of lines and likely date to the Early Nazca period (circa 100 to 300 A.C.);
“Fieldwork identified type A figures to be ritual places shaped like animals, where people held ceremonies involving the destruction of pottery vessels,”
Using AI to process large amounts of aerial data more quickly could help identify more lines, geometric designs and geoglyphs in the future.
- On 30. oktober 2020
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