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Rescooped by michel verstrepen from 21st Century Innovative Technologies and Developments as also discoveries, curiosity ( insolite)...
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Microsoft buys AI speech tech company Nuance for $19.7 billion | #Acquisitions

Microsoft buys AI speech tech company Nuance for $19.7 billion | #Acquisitions | business analyst | Scoop.it

Microsoft is buying AI speech tech firm Nuance for $19.7 billion, bolstering the Redmond, Washington-based tech giant’s prowess in voice recognition and giving it further leverage in the health care market, where Nuance sells many products. Microsoft will pay $56 per share for Nuance, a 23 percent premium over the company’s closing price last Friday.

Nuance is best known for its Dragon software, which uses deep learning to transcribe speech and improves its accuracy over time by adapting to a user’s voice. Nuance has licensed this tech for many services and applications, including, most famously, Apple’s digital assistant Siri. (Though to what degree Siri currently relies on Dragon to answer users’ queries is unclear.) Dragon is an industry leader in terms of transcription accuracy.

The $19.7 billion acquisition of Nuance is Microsoft’s second-largest behind its purchase of LinkedIn in 2016 for $26 billion. It comes at a time when speech tech is improving rapidly, thanks to the deep learning boom in AI, and there are simultaneously more opportunities for its use.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?&tag=Acquisitions

 


Via Gust MEES
Gust MEES's curator insight, April 12, 2021 8:58 AM

Microsoft is buying AI speech tech firm Nuance for $19.7 billion, bolstering the Redmond, Washington-based tech giant’s prowess in voice recognition and giving it further leverage in the health care market, where Nuance sells many products. Microsoft will pay $56 per share for Nuance, a 23 percent premium over the company’s closing price last Friday.

Nuance is best known for its Dragon software, which uses deep learning to transcribe speech and improves its accuracy over time by adapting to a user’s voice. Nuance has licensed this tech for many services and applications, including, most famously, Apple’s digital assistant Siri. (Though to what degree Siri currently relies on Dragon to answer users’ queries is unclear.) Dragon is an industry leader in terms of transcription accuracy.

The $19.7 billion acquisition of Nuance is Microsoft’s second-largest behind its purchase of LinkedIn in 2016 for $26 billion. It comes at a time when speech tech is improving rapidly, thanks to the deep learning boom in AI, and there are simultaneously more opportunities for its use.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?&tag=Acquisitions

 

Rescooped by michel verstrepen from Tracking the Future
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The Future of the Internet: Futurist Speaker Gerd Leonhard at ITU World Bangkok 2013

Inspirational futurist Gerd Leonhard delivered a compelling, challenging, and at times chilling glimpse into a possible near future dominated by data, digital dependence and dramatic sociological changes. Over the next ten years, human to machine interfaces will take us far beyond connected fridges, self-parking cars and intelligent wristwatches -- and at an unbelievable pace, as real life begins to outstrip fiction. Artificial intelligence will augment our bodies and extend our personalities into devices as chips as small as 5 nanometres across become fast, cheap and embedded in everything. This is the new version of the internet: the internet of everything with up to 100bn connected devices. We will be living inside a computer -- and our mobile phones will function as an external brain.

Future interfaces will lead to prediction markets, the quantified self, unprecedented access to huge amounts of information, moving from typing to gesturing to going inside a device to pull out data. We can already operate Google glass by blinking -- in the future, thinking will be enough. Used responsibly, this can bring unprecedented benefits, increased efficiency, vastly more comfortable and convenient lifestyles. But there is an equally huge associated risk, as well as the danger of unintended consequences in an age of exponential expansion in connectivity. One simple example is how by leapfrogging over television to YouTube in Indonesia has changed society, changed how people behave, act and think as they have become "more transparent, more digitally naked."

And those risks are nowhere more evident than in the downsides of Big Data. An economy of data, worth up to 15 trillion dollars in new commerce and activities, could trigger #datawars over the power than massive money puts in play -- and pollution in the form of surveillance, lack of trust and flawed privacy. Privacy and security failure is the present as "the power of technology exceeds the scope of ethics". Cloud computing, big data, scanning technologies and other new technologies are running our lives in a deep way. Recent world events make it clear that capturing pretty much everything is technically possible -- yes, we scan, as Gerd punned. And growing awareness of that is set to cost the US, as international companies -- and even countries -- consider putting their clouds, and their business, elsewhere.

Privacy will be the domain of the rich, able to afford encrpyted email and to opt out of permanent surveillance and intrusion. Privacy and trust have been eroded to the extent that police scanning the number plates of passing cars keep that information for up to five years; or bluetooth-enabled rubbish bins connect with mobiles to register anyone walking past. It's all possible; but being able to do it doesn't mean it should be done. Artificial intelligence, M2M communication, the Internet of Things -- none of this might happen unless we can forge new social contracts, ethics, a rule of law that makes us feel safe and lets us work. So what will be important for the industry in this future reality that is already upon us? Trust and ethics are key, according to Gerd. Without establishing a trust framework, no one will survive the next five years. Sector convergence and consumer power are shaping the market. People need to be given control, government laws on copyright and payment must be abandoned. "Forcing people to pay is like forcing people to love. It won't work" -- they will simply migrate to free and more. And telcos are no longer operating in a clear-cut sector, but are instead competing in an arena made of many, and often new, players.


Via Szabolcs Kósa
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Rescooped by michel verstrepen from Tracking the Future
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The 5 in 5 - Innovations that will change our lives in the next five years

The 5 in 5 - Innovations that will change our lives in the next five years | business analyst | Scoop.it
Processing sights and sounds requires eyes, ears and, most important, a brain—right? But what if your hardware shared your senses?
In the era of cognitive computing, systems learn instead of passively relying on programming. As a result, emerging technologies will continue to push the boundaries of human limitations to enhance and augment our senses with machine learning, artificial intelligence (AI), advanced speech recognition and more. No need to call for Superman when we have real super senses at hand.
This year IBM presents The 5 in 5 in five sensory categories, through innovations that will touch our lives and see us into the future.
Via Szabolcs Kósa
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Rescooped by michel verstrepen from Tracking the Future
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Hod Lipson on The Robot Scientist: Mining Experimental Data

Big Ideas presents Hod Lipson of Cornell University exploring his work in such areas as evolutionary robotics and programmable self-assembly, Lipson delivers a lecture entitled The Robot Scientist: Mining Experimental Data for Scientific Laws, from Cognitive Robots to Computational Biology.


Via Szabolcs Kósa
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Rescooped by michel verstrepen from Robots and Robotics
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Brainlike Computers, Learning From Experience

Brainlike Computers, Learning From Experience | business analyst | Scoop.it

Computers have entered the age when they are able to learn from their own mistakes, a development that is about to turn the digital world on its head.


Via Szabolcs Kósa, Kalani Kirk Hausman
VendorFit's curator insight, December 31, 2013 3:27 PM

Artificial intelligence is the holy grail of technological achievment, creating an entity that can learn from its own mistakes and can (independently of programmer intervention) develop new routines and programs.  The New York Times claims that the first ever "learning" computer chip is to be released in 2014, an innovation that has profound consequences for the tech market.  When these devices become cheaper, this should allow for robotics and device manufacture that incorporates more detailed sensory input and can parse real objects, like faces, from background noise. 

Laura E. Mirian, PhD's curator insight, January 10, 2014 1:16 PM

The Singularity is not far away

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Are robots hurting job growth?

Are robots hurting job growth? | business analyst | Scoop.it

Technological advances, especially robotics, are revolutionizing the workplace, but not necessarily creating jobs. Steve Kroft reports.


Via Szabolcs Kósa
Mechanical Walking Space Man's comment, January 22, 2013 1:14 PM
No - helping to take care of the mundane and tricky... leaving humans to accelerate evolution
Rescooped by michel verstrepen from Tracking the Future
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When creative machines overtake man

Machine intelligence is improving rapidly, to the point that the scientist of the future may not even be human! In fact, in more and more fields, learning machines are already outperforming humans.

Artificial intelligence expert Jürgen Schmidhuber isn't able to predict the future accurately, but he explains how machines are getting creative, why 40'000 years of Homo sapiens-dominated history are about to end soon, and how we can try to make the best of what lies ahead.

http://www.tedxlausanne.org


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