- “I think in the next 30 years, people will only work four hours a day and maybe four days a week,” Ma said Tuesday during a CNBC interview at the Gateway ’17 Conference.
- We work eight hours, five days a week and think we are very busy.”
- The Chinese billionaire also addressed the rise of artificial intelligence, advocating that machines shouldn’t be made to replicate human behavior.
- “I don’t think we should make machines like humans,” Ma said.
- “The third technology revolution may cause the Third World War,” Ma told CNBC.
Alibaba founder Jack Ma thinks artificial intelligence will revolutionize the work week, and make it shorter for humans
Continue reading “Jack Ma: Artificial Intelligence Will Bring a Four-Day Week”
- The founder of Chinese e-commerce giant Alibaba, Jack Ma, is warning artificial intelligence will replace human workers, but it will never replace human wisdom.
- “Artificial intelligence may take a lot of jobs away.
- If small businesses can’t survive, we can’t survive,” said Ma, speaking in Detroit at the Gateway 17 conference for entrepreneurs.
- So I don’t think the machine — the artificial intelligence — is gonna replace the wisdom,” he said.
- During the conference, Ma repeated his prediction last week that Alibaba will be worth more than the world’s fifth-largest economy by 2036, bigger than the economies of France or the United Kingdom.
The founder of Chinese e-commerce giant Alibaba, Jack Ma, is warning artificial intelligence will replace human workers, but it will never replace human wisdom.
Continue reading “Jack Ma warns about dangers of artificial intelligence — RT Business”
- Sharing our vision of the future, including advances in research and innovation.
- Our goal is to make our innovations accessible to as many people as possible.
- When technology starts with people and serves people, it makes progress.
- We also want to promote innovative and responsible uses of digital technologies – prudent innovation – that improve everyday life for everyone.
- Innovation and periods of rapid change have always raised questions.
Continue reading “Innovation endorsed by Orange: welcome to tomorrow’s world”
- Like millions of people around the world, you may have received a shiny new device as a holiday gift at the end of last year.
- The world has changed for the better because WE NO LONGER NEED A SEPARATE APP to use our things, the ‘things’ in the Internet of Things (IoT).
- — @Libovness (Source)
Text is still superior to voice, as anyone who has used Google Home or Amazon Echo (yes, I have one, and I love it) and/or tried to use voice while waiting in an airport security line without having other people overhear: 1) your proprietary business information, 2) your squeeze’s silly nickname, or 3) your holiday weight gain, can tell you.
- , increase product usability (no apps to learn, even grandmothers can message, especially when they get to choose their own channel), and focus on what they do best (i.e., I have yet to meet a product engineer who loves managing dozens of communications platforms’ constantly changing Application Processing Interfaces (APIs)).
- Learn more about how UIB is enabling products and software to communicate with people and things, and see the latest smart home, Industry 4.0, and smart city use cases now at unifiedinbox.com and unificationengine.com.
Ken Herron of IoT messaging company Unified Inbox, explores how the IoT means we no longer need a separate app to use our things.
Continue reading “The app is dead. And the IoT killed it. Internet of Things blog”
- Companies realize that their customers want to have more personalized products and services, and in order to satisfy their customers’ needs, they need to collect as much data as possible to understand the profiles of their customers.
- Once the data is collected, Artificial Intelligence (AI) can be used to understand and construct customer profiles that reveal the needs of each individual customer.
- In a similar manner, the data of our “digital selves” and our interactions and activities using our digital devices reveal interesting properties of our profiles.
- Recommender systems, or expert systems, are actually examples of how data is used to build profiles and act based on it.
- Based on this insight of different profiles and segmentations, a recommender system can build a model to be able to predict the behavior of users and customers.
One of the most sought commodities today is data. The digitalization has given rise to a technical revolution that could be of the same magnitude as that…
Continue reading “The Value Of Data In A Digital World”
A quarter of Dubai’s police will be robots by 2030.
Continue reading “RoboCop on the beat”
- In late April, the two computer science majors built a Facebook Messenger bot that, when fed a link, will tell you whether the article in question is or isn’t “fake news.”
- Bhat, who has built civic tech tools before in his spare time, thought that perhaps they could use machine learning to build a bot that would help put articles people find on Facebook in context.
- To teach the algorithm to recognize right-leaning content they fed it thousands of articles from Breitbart, a hyperconservative news website.
- NewsBot has also begun offering short news summaries of top articles.
- Right now you can mark an article as fake news from a small drop down at the top, but if you’re a user just scrolling, the feed hasn’t really changed in any way.
This could change how you read the news.
Continue reading “2 college students built a tool to fight fake news on Facebook using artificial intelligence”