- Around the world individual researchers and small teams are working on AI solutions to deliver services where currently they are absent or inadequate.
- We’ve all read the stories about machines taking over our jobs, and the World Bank says that jobs in developing countries are even more at risk of automation.
- As algorithms become cheaper than people, manufacturing and low-skilled service jobs that are carried out by workers in low and middle income countries may be ‘reshored’ and replaced by work done by machines in rich countries.
- The answer to the question “Will AI be more of an opportunity or more of a risk for developing countries?”
- It is time to start laying the foundations for a truly global approach to AI development that maximises the opportunities and minimises the risks for everyone.
The list of tech failures in development is long. Whether it be drone
pilots getting in the way of emergency relief in Nepal, or computers
gathering dust in Indian schools because teachers don’t know how to use
them, the outcome is rarely positive when techies fall in love with their
preferred solutions rather than taking time to understand real problems
faced by real people.
Continue reading “Artificial Intelligence must be for all”
- SINGAPORE — In the brave new world of smart homes, Dyson thinks it’s got a way to get a leg up over the competition: artificial intelligence.
- “Almost every product can benefit from AI, lighting, purification, cleaning — everything that you see in a room needs artificial intelligence,” declared Sir James Dyson, its founder said at its launch event.
- Sir James Dyson, speaking at the Singapore launch.Dyson’s already started dipping its toes in the connected home scene.
- My dream is much rather that everything is automatic, and sets itself for you to your preference,” Dyson said.
- Testing has already begun for Dyson’s new home lighting and fan systems, using face and voice recognition to detect the user, then adjusting its temperature and speed to their precise preferences.
Imagine never having to input a setting again.
Continue reading “Dyson is quietly working artificial intelligence into all of its home gadgets”
- Better still, its developer wrote a Chrome extension that uses the device to keep him in check when he should be working instead of playing on social media.
- Peeqo uses voice recognition from Google Speech API and API.ai to listen in on your queries and provide the appropriate GIF-based response.
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Continue reading “Meet ‘Peeqo,’ the DIY robot that communicates via GIF”
- The idea of using a gatekeeper is not a new one.
- The chatbot may be giving apps a run for their money.
- The algorithms in each chatbot would act much in the same way that preinstalled apps do, and would likely have default programmed selections.
- Chatbots are the future of conversation-based interfaces , and application use is likely to fall behind if apps don’t transform.
- Individuals and businesses alike stand to benefit from chatbots.
Chatbots are on track to replace search engines, personal assistants, and apps. Apps as we know them may become obsolete in just a few years.
Continue reading “The Coming Battle Between Apps and Chatbots”
- Stephen Hawking says artificial intelligence could be humanity’s greatest disaster
- Stephen Hawking says artificial intelligence could be humanity’s greatest disaster Play!
- Professor Hawking has been one of the most high-profile sceptics about AI.
- H is comments come amid breakthroughs in artificial intelligence that are being achieved faster than many predicted.
- We do not know which,” the British physicist said.
The invention of artificial intelligence could be the biggest disaster in humanity’
Continue reading “Stephen Hawking says artificial intelligence could be humanity’s greatest disaster”
- Making data science accessible – Neural Networks
- As with any technique related to data science Neural Networks are one family of many approaches you could take to solve a business problem using large amounts of data.
- Neural Networks are a family of Machine Learning techniques modelled on the human brain.
- In a basic neural network, you train the system by running individual cases through one at a time and updating the weights based on the error.
- Back-propagation involves taking that error back through the network to adjust the individual weights to better reflect the actual outcome.
By Dan Kellett, Director of Data Science, Capital One UK
What are Neural Networks?
Neural Networks are a family of Machine Learning techniques modelled on…
Continue reading “Making data science accessible – Neural Networks”
- “The training phase happens on our own premises, at Deep Instinct,” Schirmann says.
- A cybersecurity startup is applying the same “deep learning” techniques that are used in modern image and voice recognition to detect malware.
- “In deep learning, that phase absolutely does not exist,” says Schirmann.
- Deep Instinct launched late last year with a system that it says can go beyond typical antivirus programs by not only detecting known malware but also flagging dangerous software it’s never encountered before.
- The system develops a complex statistical model for what constitutes malware, which Deep Instinct claims has at least a 99.9% success rate at spotting infectious files.
With a 99.9 success rate at detecting malware, Deep Instinct aims to revolutionize how we protect ourselves on the web.
Continue reading “Can Deep Learning Take Cybersecurity To The Next Level? This Startup Says Yes.”