Alexa has had a lot of explaining to do. Since Amazon's voice assistant debuted in 2014, the company has convinced millions of people to invite Alexa into their homes. They use it to play music, serve up the news and answer trivia questions. This year, though, the online retailing giant faced a backlash after news broke that human reviewers were sometimes listening to recordings of users' private conversations with Alexa. Those privacy problems will likely cast a shadow on Amazon's annual product launch, which takes place Wednesday in Seattle. There, the company is expected to unveil the latest devices in its Alexa-powered Echo speaker lineup.

Long an obsession of science fiction writers, "artificial intelligence" in the modern era of fast-paced technological innovation is a term that is as ubiquitous as it is nebulous. For the payments technology industry, however, the term describes advanced analytical technology that has an outsized potential to improve the payments ecosystem for banks, payments processors, merchants and consumers. In fact, financial services companies will spend US$11 billion on AI in 2020, according to an analysis by IDC -- more than any other industry cited. They'll stand to make a nice return on their investment as well, according to PwC estimates. In North America alone, AI is projected to increase the GDP of the financial and professional services industry as much as 10 percent by 2030, driven by increases in both productivity and consumption.

After months of revelations that smart speakers get a very human intelligence boost from contractors who transcribe and review customer audio snippets, the mea culpas are flowing in. At the end of August, Apple issued a rare apology about how it had handled human review of audio for Siri. Amazon and Microsoft have made it easier for users to understand how their data might be used and control whether or not it is eligible for review at all. And now Google is joining the fray with a set of privacy announcements about Google Assistant. Google paused human audio review worldwide in July after reports that a contractor was leaking audio snippets in Dutch.

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With modern technology, such questions are no longer bound to creative conjecture. You have just found Keras. Today i will give a brief introduction over this topic which created headache for me when i was learning this. All video and text tutorials are free. I use Anaconda package that almost wraps up all the Python packages including Jupyter notebook.

Facebook is working on developing an AI voice assistant similar in functionality to Amazon Alexa, Google Assistant, or Siri, according to a report from CNBC and a later statement from a Facebook representative. The CNBC report, which cites "several people familiar with the matter," says the project has been ongoing since early 2018 in the company's offices in Redmond, Washington. The endeavor is led by Ira Snyder, whose listed title on LinkedIn is "Director, AR/VR and Facebook Assistant at Facebook." Facebook Assistant may be the name of the project. CNBC writes that Facebook has been reaching out to vendors in the smart-speaker supply chain, suggesting that Portal may only be the first of many smart devices the company makes. When contacted for comment, Facebook sent a statement to Reuters, The Verge, and others, saying: "We are working to develop voice and AI assistant technologies that may work across our family of AR/VR products including Portal, Oculus, and future products."

Facebook Dating launched in the US last week, giving users ages 18 and older access to typical dating app features like specialized profiles and matchmaking algorithms. Though the dating app space is crowded, Facebook has an opportunity to set itself apart by simplifying what's arguably the most vexing aspect of online dating: setting up a profile. Jonathan Kay, founder of app analytics platform Apptopia, explains that aside from offering users a new, more curated experience, Facebook could potentially ease the tedious process of putting together a profile--users' top dating app pain point. "The real problem with dating sites is that the barrier to entry is extremely high," Kay said. "Not only do you need to invest time in actually setting up a profile, you also have to create this profile from scratch--finding pictures, crafting an'About Me'--those things can be awkward and difficult to do."

Artificial intelligence has been named a disruptive force in multiple areas, including finance, healthcare, and security. The insurance sector can benefit significantly from these advancements of cognitive technology too. This is made possible with the heaps of data collected by insurance companies and not used to their full potential. In the insurance business vertical, AI can have a positive impact at every level, from automating call center request processing to helping make accurate assessments and executive-level decisions. Through its power to recognize patterns and anticipate actions, AI can provide a predictive environment where risks are anticipated and hedged.

Suggest to Samsung's Virtual Personal Assistant Bixby "Let's talk dirty", and the female voice will respond with a honeyed accent: "I don't want to end up on Santa's naughty list." Ask the same question to the programme's male voice and it replies "I've read that soil erosion is a real dirt problem." In South Africa, where I live and conduct my research into gender biases in artificial intelligence, Samsung now offers Bixby in various voices depending on which language you choose. The voices of Julia, Lisa and Stephanie are coquettish and eager. John is clever and straightforward.

Many recruiters are poorly trained. They choose -- or are asked to -- identify potential candidates based on slight domain knowledge, and that's putting it kindly. Meanwhile, employers have (despite press to the contrary still enjoy a buyer's market) moved to an era of increased specialization. To address this, or possibly to cut recruiters out of the process altogether, some recruiters have increased their use of job matching algorithms. On the job description side, available data is not canonical and metadata nonstandard -- and not getting better.