Dynadot

discuss AI (artificial intelligence) Discussion & Domains

Spaceship Spaceship
Watch

Will AI (Artificial Intelligence) domains have strong demand in the future?


BrandingModel.com

BrandModel.comTop Member
Impact
4,343
AI (Artificial Intelligence) - Is there a possibility AI domains will have good demand in the future?

What do you own?
What have you sold?
What's your recent purchase?
Your thoughts and news on AI - Good or Bad?

AI DOMAINS (I own 3 x AI domains)
ImmersiveAI(com) 2025 expiry
AIofThings(com) - recently caught
AIA(io) - keeping 1 x .io for the tech space

AI FB.jpg

AI.png

AI News.jpg




Related Topic:
 
Last edited:
16
•••
The views expressed on this page by users and staff are their own, not those of NamePros.
Last edited:
11
•••
calendar.ai 6.999 USD
case.ai 4.999 USD
story.ai 3.999 USD
event.ai 3.999 USD
moto.ai 3.800 USD
motor.ai 3.800 USD
os.ai 3.800 USD
nano.ai 3.800 USD
wiki.ai 3.800 USD
works.ai 3.800 USD
avatars.ai 3.800

Sedo not mine
 
4
•••
4
•••
2
•••
CognitiveComputing .co

Cognitive computing and the evolution of knowledge work

Cognitive computing will be as disruptive to organizations in the next decade as social media was in the last—and perhaps even more so. In fact, Gartner has predicted that the smart machine era will be the most disruptive in the history of IT.We are on the brink of a paradigm shift involving the fundamental human processes that guide information discovery, insight extraction, problem solving and decision-making.

Cognitive computing, machine learning and predictive analytics will permeate every aspect of our lives and radically transform how we learn and interact in our digital lives. Content management, collaboration and the entire search experience will evolve to become more automated, seamless and personalized. The result is that we will rely on computers even more heavily than we do now while forging increasingly complex—even intimate—relationships with them.

And the future is already here, at least for a handful of early adopters. Cognitive capabilities are starting to play a significant role in industries as diverse as healthcare, software, financial services and oil and gas exploration.

Read more: http://www.kmworld.com/Articles/Edi...d-the-evolution-of-knowledge-work-115476.aspx
 
Last edited:
3
•••
VArtificialIntelligence
 
Last edited:
3
•••
3
•••
We have

intelliclub.com
intellispeed.com
 
2
•••
I am proud to announce AIVPA

Gartner Predicts a Virtual World of Exponential Change

By 2020, the average person will have more conversations with bots than with their spouse.
With the rise of Artificial Intelligence (AI) and conversational user interfaces, we are increasingly likely to interact with a bot (and not know it) than ever before.
The digital experience has become addictive by entering our lives through smartphones, tablets, virtual personal assistants (VPAs) or the entertainment systems in our homes and cars.

Read more: http://www.gartner.com/smarterwithgartner/gartner-predicts-a-virtual-world-of-exponential-change/
 
Last edited:
3
•••
4
•••
AI/Paradise
Rapid/AI
Cryptic/AI
All in king
 
3
•••
2
•••
0
•••
SpecializedAI

Uber launches specialized artificial intelligence division

The ride-hailing company Uber plans to introduce self-driving cars as a part of its service. However, the company still hasn’t perfected the artificial intelligence (AI) technology in order to be able to offer its users driverless cars to take them to their locations of choice.

Today, Uber has taken another step towards achieving its driverless cars goal. The company formed a new division, Uber AI Labs and acquired the AI startup Geometric Intelligence. The startup’s CEO, as well as its other employees will be in charge of the AI Labs unit.

Read more: http://www.buzznice.com/uber-launches-specialized-artificial-intelligence-division/
 
0
•••
0
•••
3
•••
Added:
ArtificialIntelligenceTech. com
 
5
•••
2
•••
AINeurons / VirtualNeurons

Adapting ideas from neuroscience for AI

A better understanding of the reasons why neurons spike could lead to smart AI systems that can store more information more efficiently, according to Geoff Hinton, who is often referred to as the “godfather” of deep learning.

Geoff Hinton is an emeritus distinguished professor at the University of Toronto and an engineering fellow at Google. He is one of the pioneers of neural networks, and was part of the small group of academics that nursed the technology through a period of tepid interest, funding, and development.

Key takeaways:
  1. Large-scale analysis of the brain through research schemes like the Obama administration’s “Brain initiative” have the promise to shed light on new aspects of the brain, giving AI designers new ideas.
  2. You can adapt ideas from neuroscience into ideas that are relevant to AI—though it takes some time. Hinton first thought, in 1973, about implementing a system with capabilities similar to those afforded by the fact synapses change on multiple timescales, yet it took until 2016 to publish a major paper on this area.
  3. It’s relatively easy to develop powerful perception systems, but we need new techniques to build systems capable of reasoning and language.

Read more: https://www.oreilly.com/ideas/adapting-ideas-from-neuroscience-for-ai
 
2
•••
Artificial Intelligence Will Redesign Healthcare

Artificial intelligence has an unimaginable potential. Within the next couple of years, it will revolutionize every area of our life, including medicine. I am fully convinced that it will redesign healthcare completely – and for the better. Let’s take a look at the promising solutions it offers.

There are various thought leaders who believe that we are experiencing the Fourth Industrial Revolution,which is characterized by a range of new technologies that are fusing the physical, digital and biological worlds, impacting all disciplines, economies and industries, and even challenging ideas about what it means to be human.

I am certain that healthcare will be the lead industrial area of such a revolution and one of the major catalysts for change is going to be artificial intelligence.

Read more: http://medicalfuturist.com/artificial-intelligence-will-redesign-healthcare/

 
1
•••
I learned that ai means love in chinese and japanese. :)
 
5
•••
2
•••
Interesting read:
dark-secret-of-ai

darksecret.ai available..:)

I've held a couple in this extension, it's a good one, and also recently sold to a Chinese investor. If renewals were cheaper I'd be hounding these all day long.
 
1
•••
Here’s Everything You Need to Know about Elon Musk’s Human/AI Brain Merge

After weeks of anticipation, details on Elon Musk’s brain-computer interface company Neuralink have finally been revealed. In a detailed report on the website Wait But Why, Tim Urban recounts insights gleaned from his weeks meeting with Musk and his Neuralink team at their San Francisco headquarters. He offers an incredibly detailed and informative overview of both Musk’s latest venture and its place in humanity’s evolution, but for those of you interested in just the big picture, here’s what you really need to know about Neuralink.

Read more: https://futurism.com/heres-everything-you-need-to-know-about-elon-musks-humanai-brain-merge/
 
1
•••
DeepLearningHub / DeepLearningBot

What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?


This is the first of a multi-part series explaining the fundamentals of deep learning by long-time tech journalist Michael Copeland.

Artificial intelligence is the future. Artificial intelligence is science fiction. Artificial intelligence is already part of our everyday lives. All those statements are true, it just depends on what flavor of AI you are referring to.

For example, when Google DeepMind’s AlphaGo program defeated South Korean Master Lee Se-dol in the board game Go earlier this year, the terms AI, machine learning, and deep learning were used in the media to describe how DeepMind won. And all three are part of the reason why AlphaGo trounced Lee Se-Dol. But they are not the same things.

The easiest way to think of their relationship is to visualize them as concentric circles with AI — the idea that came first — the largest, then machine learning — which blossomed later, and finally deep learning — which is driving today’s AI explosion — fitting inside both.

Read more: https://blogs.nvidia.com/blog/2016/...telligence-machine-learning-deep-learning-ai/
 
Last edited:
0
•••
  • The sidebar remains visible by scrolling at a speed relative to the page’s height.
Back