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Azure Machine Learning extension Archives

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The VS Code team is excited to announce releases of the Azure Machine Learning extension which aims to help you manage your core machineย โ€ฆ


Machine Underwriting: The CFPB Issues Blog Post On Use Of Artificial Intelligence In Credit โ€ฆ

#artificialintelligence

Machine Underwriting: The CFPB Issues Blog Post On Use Of Artificial โ€ฆ on the use of artificial intelligence (AI), especially machine learning (ML),ย โ€ฆ


Planview Acquires AI/ML Leader Aptage

#artificialintelligence

Combination Brings Artificial Intelligence and Machine Learning to Agile and PPM to Accelerate Early Insights. Planviewยฎ today announced theย โ€ฆ


Slate Star Codex and Silicon Valley's War Against the Media

The New Yorker

On June 22nd, visitors to Slate Star Codex, a long-standing blog of considerable influence, discovered that the site's cerulean banner and graying WordPress design scheme had been superseded by a barren white layout. In the place of its usual catalogue of several million words of fiction, book reviews, essays, and miscellanea, as well as at least as voluminous an archive of reader commentary, was a single post of atypical brevity. "So," it began, "I kind of deleted the blog. The farewell post was attributed, like virtually all of the blog's entries since its inception, in 2013, to Scott Alexander, the pseudonym of a Bay Area psychiatrist--the title "Slate Star Codex" is an imperfect anagram of the alias--and it put forth a rationale for this online self-immolation. "Last week I talked to a New York Times technology reporter who was planning to write a story on Slate Star Codex," the post continued. "He told me it would be a mostly positive piece about how we were an interesting gathering place for people in tech, and how we were ahead of the curve on some aspects of the coronavirus situation." In early March, Alexander had suggested that his readers begin to prepare for potential catastrophe, and his extensive review of the available medical literature led him to the conclusion that, despite the early guidance by the Centers for Disease Control and Prevention to the contrary, masks were likely to prove more useful than not. A month later, he looked back at his forecast and awarded himself a "solid B-"--not perfect, but at least more accurate than the news media, which, with some notable exceptions, he wrote, "not only failed to adequately warn its readers about the epidemic, but actively mocked and condescended to anyone who did sound a warning." Journalists, in his view, were guilty of an inability or a refusal to weight the possible outcomes. As he put it, if there was even a ten per cent risk of a ruinous pandemic, shouldn't that have been the headline? Alexander, who prefaces some of his own posts with an "epistemic status," by which he rates his own confidence in the opinions to follow, thought the media, too, should present its findings in shades of gray. The final post went on, "It probably would have been a very nice article.


A system to produce context-aware captions for news images

#artificialintelligence

Computer systems that can automatically generate image captions have been around for several years. While many of these techniques perform considerably well, the captions they produce are typically generic and somewhat uninteresting, containing simple descriptions such as "a dog is barking" or "a man is sitting on a bench." Alasdair Tran, Alexander Mathews and Lexing Xie at the Australian National University have been trying to develop new systems that can generate more sophisticated and descriptive image captions. In a paper recently pre-published on arXiv, they introduced an automatic captioning system for news images that takes the general context behind an image into account while generating new captions. The goal of their study was to enable the creation of captions that are more detailed and more closely resemble those written by humans.


Save up to 20% off Hive products in Amazon's Summer Sale

Daily Mail - Science & tech

Once reserved for science fiction films, smart technology is now readily available for your home with a host of devices that work together to make your life safer and more convenient. One of the most popular and well known smart home technology products is the Hive thermostat. The intuitive thermostat pairs with the Hive app on your smartphone, is compatible with both Amazon Alexa and Google Assistant for hands-free control and uses geolocation to know when you're out of the house and have left the heating on. Save up to 20 per cent off Hive products in Amazon's Summer Sale - including ยฃ46.01 off Hive Active Heating and Hot Water Thermostat And with up to 20 per cent off select Hive systems during Amazon's Summer Sale, now is a great time to invest and upgrade your smart home power. The Hive Active Heating and Hot Water Thermostat is now ยฃ132.99 on Amazon.


Machine Learning Market Growth During 2020-2030 โ€“ Intel, H2Oai, AWS

#artificialintelligence

Machine Learning (ML) is the best use of artificial intelligence that offers the ability to automatically gain knowledge and improve with no need forย โ€ฆ


Global Machine Learning as a Service (MLaaS) Market 2025 Expected to reach HIghest CAGR โ€ฆ

#artificialintelligence

This Global Machine Learning as a Service (MLaaS) Market report is an in depth study of the present market dynamics and the factors that affect it.


Guru, Partner, or Pencil Sharpener? Understanding Designers' Attitudes Towards Intelligent Creativity Support Tools

arXiv.org Artificial Intelligence

Creativity Support Tools (CST) aim to enhance human creativity, but the deeply personal and subjective nature of creativity makes the design of universal support tools challenging. Individuals develop personal approaches to creativity, particularly in the context of commercial design where signature styles and techniques are valuable commodities. Artificial Intelligence (AI) and Machine Learning (ML) techniques could provide a means of creating 'intelligent' CST which learn and adapt to personal styles of creativity. Identifying what kind of role such tools could play in the design process requires a better understanding of designers' attitudes towards working with AI, and their willingness to include it in their personal creative process. This paper details the results of a survey of professional designers which indicates a positive and pragmatic attitude towards collaborating with AI tools, and a particular opportunity for incorporating them in the research stages of a design project.