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AI can now fix your grainy photographs without a "clean" reference

#artificialintelligence

Good news for amateur photographers everywhere: You might still be able to salvage all those grainy pics taking up space on your hard drive. On July 9, researchers from NVIDIA, Aalto University, and MIT unveiled a new AI program that can effectively remove the noise from a photograph -- those annoying pixels and specks that show up when you take a pic in low light. And it doesn't even need a "clean" reference image to make it happen. The researchers plan to present their AI at the International Conference on Machine Learning in Stockholm, Sweden, this week. To create their noise-filtering AI, the researchers started by adding noise to 50,000 pairs of clean images.


Artificial Intelligence Will Be Hollywood's Next Big Star โ€“ Guest Column

#artificialintelligence

Editors' Note: Industry veteran Arvin Patel is Chief Intellectual Property Officer at TiVo and former chief IPO officer at Technicolor, with previous stints at Rovi and IBM. At TiVo, he oversees the company's annual $400 million IP business and about 6,000 issued patents, as well as its pending applications worldwide. He also leads TiVo's global organization of IP professionals overseeing portfolio development and management, licensing, strategic patent acquisition, policy, and the company's long-term innovation strategy. This year marks the 50th anniversary of 2001: A Space Odyssey, Stanley Kubrick's seminal science fiction film that examined our evolution as human beings and technology's role in our development. Looking back, you can argue that Kubrick was surprisingly prescient in depicting man's relationship with machines as companies like Amazon, Google and Apple continue to invest in AI-related products and services.


Fears of bots in the workplace are likely overblown

#artificialintelligence

Journalists have expended a lot of ink covering AI's potential to eliminate jobs. Examples cited include autonomous vehicles, machines that read X-rays and search for new drugs, and algorithm-driven bots that respond to customer service inquiries. Along with a lot of hand-wringing, these advances have spurred increasingly serious discussions about the need to provide a guaranteed minimum income if there are no longer enough jobs to go around. Many headlines suggest that AI and related technologies will lead to a largely jobless future -- as detailed in a recent article on NBC News. And we are already seeing evidence of automation-induced job loss, with more on the way.


IoT and AI to fundamentally change the way we live and work: CSG

#artificialintelligence

CSG, a business support solutions (BSS) provider said that telecom carriers are increasingly leveraging the cloud to bring down the recurring operational costs, and with India's top service provider Bharti Airtel as one of the telcos to deploy revenue management platform, the US-headquartered company feels that the IoT and AI would fundamentally the change the way we live, work and play. How have you been supporting businesses to digitally transform? Almost every industry is faced with digital disruption and the need to transform to survive and thrive. Among our primary client base of communications service providers, digital transformation encompasses every aspect of their business, from rolling out new 5G networks to launching new services designed to attract consumers on-the-go. CSG supports the digital transformation of companies in ways such as investments in our solution portfolio that enable our customers to meet these increased demands, and through the deep expertise of our people across digital strategy, processes, and technology domains.


r/MachineLearning - [D] Keras vs PyTorch

#artificialintelligence

Ok, I can give you some answers based on my experiences as software engineer (over 10 years). I deal also a lot with open-source and I'm the author of dozens of open-source libraries with thousands of stars and millions of installations as well, so I know both sides (author and user) in both private and commercial applications pretty well. Also, many people ask me the question why we use at aetros.com Let's define some properties that define whether a library X is good or not: Let me explain in detail each point. When you use libraries, no matter if open-source or commercial, and you want to continue to develop an application using that library, it's very important that there are no hidden changes and your application doesn't break when you update the library (to get wanted features or bugfixes).


r/MachineLearning - [D] Keras vs PyTorch

#artificialintelligence

Ok, I can give you some answers based on my experiences as software engineer (over 10 years). I deal also a lot with open-source and I'm the author of dozens of open-source libraries with thousands of stars and millions of installations as well, so I know both sides (author and user) in both private and commercial applications pretty well. Also, many people ask me the question why we use at aetros.com Let's define some properties that define whether a library X is good or not: Let me explain in detail each point. When you use libraries, no matter if open-source or commercial, and you want to continue to develop an application using that library, it's very important that there are no hidden changes and your application doesn't break when you update the library (to get wanted features or bugfixes).


Is Artificial Intelligence Too Dehumanizing to Succeed?

#artificialintelligence

Does all the hype about AI sound just a little too familiar? If you're old enough to remember the first beginnings of the Internet and the dotcom bubble, you might also remember the tsunami of hype that attended these events as they unfolded. Wired magazine made endlessly breathless predictions about how the Internet would transform humanity and bring about a technologically-driven utopia. Now we're wrestling with how such a promising technology devolved into a netherworld of hacking, hate speech, exploitation of personal data, "dark webs", misinformation, political chicanery, and citizen surveillance despite these glowing promises. In the latest twist, AI is being sold in a similar way by similar players and the cultural amnesia is impressive.


Recommended Reading: The accent struggle for Alexa and Google Assistant

Engadget

Smart speakers (and the virtual assistants they house) offer voice control for so many connected devices it's hard to keep count. Those audio gadgets can also assist with a range of questions -- that is, if they can understand you. The Washington Post took a close look at the performance of Alexa and Google Assistant when it comes to understanding people with strong accents. The results show that while these devices are certainly handy and increasingly popular, there's still a lot of room for improvement. The Facebook CEO covered a range of topics, including its evolving approach to fake news and a comment about Holocaust deniers that warranted a clarification afterwards.


Artificial Intelligence Will Be Hollywood's Next Big Star โ€“ Guest Column

#artificialintelligence

Editors' Note: Industry veteran Arvin Patel is Chief Intellectual Property Officer at TiVo and former chief IPO officer at Technicolor, with previous stints at Rovi and IBM. At TiVo, he oversees the company's annual $400 million IP business and about 6,000 issued patents, as well as its pending applications worldwide. He also leads TiVo's global organization of IP professionals overseeing portfolio development and management, licensing, strategic patent acquisition, policy, and the company's long-term innovation strategy. This year marks the 50th anniversary of 2001: A Space Odyssey, Stanley Kubrick's seminal science fiction film that examined our evolution as human beings and technology's role in our development. Looking back, you can argue that Kubrick was surprisingly prescient in depicting man's relationship with machines as companies like Amazon, Google and Apple continue to invest in AI-related products and services.


How businesses are finding success with chatbots and AI MintTwist

#artificialintelligence

Dating back to the 1960s, before the internet, MIT Professor Joseph Weizenbaum created the first ever chatbot. He designed a programme to copy human conversation by pairing scripted responses to text users entered into a computer and thus the chatbot was born. Becoming more conversational since the early days, Chatbots have revolutionised the customer experience with instant, personalised responses. Although they still lack some human aspects and the responses are not always perfect, we are able to see how beneficial they can be. In the past few years we've seen an increase in Artificial Intelligence chatbots across social platforms such as Facebook, when it launched bots for messenger in 2016, to voice experiences with smart speakers, such as the Amazon Alexa.