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How communicators can get ready for artificial intelligence

#artificialintelligence

Robot," but it seems American consumers stand ready to embrace artificial intelligence. In the U.S., 45 percent of adults describe their feelings towards artificial intelligence as "interested," per a new study, "Sex, Lies and AI: How Americans Feel About Artificial Intelligence and What Marketers Need to Know" released by SYZYGY this past October. Their interest makes sense, as many of us already interact with AI through chatbots and virtual assistants such as Siri and Alexa. "Fear" is an emotion cited by many respondents. Around 43 percent of the public thinks AI could pose a threat to long-term human survival. Many people are simply confused by AI and are having trouble sorting through the benefits and potential drawbacks.


Why Do Developers Find It Hard To Learn Machine Learning?

#artificialintelligence

Artificial intelligence (AI), an application of ML, is becoming pervasive. From autonomous vehicles to self-tuned databases, AI and ML are found everywhere. Industry analysts often refer to AI-driven automation as the job killer. Almost every domain and industry vertical are getting impacted by AI and ML.


Artificial intelligence in the legal industry

#artificialintelligence

PREMIUM The debate regarding the use of artificial intelligence (AI) in modern life continues to divide opinion. On one hand, many believe that automation through AI will increase productivity and competitiveness in the business industry.


Artificial intelligence in the legal industry

#artificialintelligence

PREMIUM The debate regarding the use of artificial intelligence (AI) in modern life continues to divide opinion. On one hand, many believe that automation through AI will increase productivity and competitiveness in the business industry.


[P] I made a tool to deploy Keras image recognition models to the web โ€ข r/MachineLearning

@machinelearnbot

I took a deep learning course last year, and found it was a pain to write a web app, stand up servers in the cloud, register domain names, etc. So I built something that "webapp-ifies" Keras image recognition models and deploys it to the web. All you need to do is upload a trained Keras model. Things I'll be improving next (I had to start somewhere):


Can AI help me compose a hit song? Franรงois Pachet TEDxISTAlameda

#artificialintelligence

The new, compelling style created by The Beatles inspired Franรงois Pachet to investigate how music style is invented. As Director of SONY Computer Science Laboratory in Paris and composer, he led a project, Flow Machines, to research and develop Artificial Intelligence (AI) systems able to generate music autonomously, or in collaboration with human artists. In this fascinating talk, Pachet takes the audience on a journey through the AI applications in the music world, to produce content that not only helps users / composers to explore new ideas, but also to find their own musical style. Franรงois Pachet is a researcher in artificial intelligence. He is particularly concerned about how AI can boost creativity in music, and other artistic domains.


[D] Open source pre-trained deep learning model for audio source separation (cocktail party)? โ€ข r/MachineLearning

@machinelearnbot

Cocktail party is multiple sources of speech and non speech. Even if you can isolate speech from non speech it's still a whole another issue on how to deal with cross talk.


Consumer Trust in AI-Powered, Voice-Enabled Assistants Grows

#artificialintelligence

As time-pinched Millennials and Generation Z grow spending power, the need for efficient shopping platforms continues to rise. According to research conducted by SAP Hybris, 64 percent of consumers trust in-home assistants to purchase electronics due to the convenience the devices offer."As These technologies will not be successful on their own, however -- they will need a rich set of customer data in order to make relevant recommendations and be truly helpful."To The findings are relevant for more than holiday spending habits. The survey findings signal a large shift by consumers to rely on AI -- from chatbots to voice-activated assistants -- to complete shopping tasks.


Artificial intelligence: Machines that pack a punch

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Expedia CEO Mark Okerstrom says the company is able to handle large amounts of data on the fly, servicing 1.6m customers daily. Expedia handles 750m searches a day, and is able to scan 3m hotels in a second for personalised results. When one considers applications of technology that range from voice-powered personal assistants like Amazon's own Alexa to autonomously powered self-driving vehicles with predictive capabilities it becomes easier to see how AI could allow the machines to take over. Computer-aided interpretation of medical images, heart-sound analysis and even the composition of classical music by means of AI are just some of the advances in the field. AWS recently unveiled at least five new machine-learning tools, many of them intended for businesses.


Three Ways Artificial Intelligence Is Improving How Companies Do Business

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In 1961, the world's first industrial robot clocked in at a General Motors plant in Trenton, New Jersey. The 4,000-pound mechanical arm, named Unimate, was designed to weld cars and lift big pieces of metal. The robot was a huge success--even landing a spot on the Tonight Show with Johnny Carson. Get the latest from Kellogg Insight delivered to your inbox. Almost sixty years later, the emergence of artificial intelligence (AI) has seen machines leap from physical to mental labor.