Specifically, several groups have put out deep-learning tools that can be used to generate predicted spectral libraries, meaning researchers can run …

I usually write about how to integrate and launch ML/AI in consumer-facing products. However, a large part of my job is building ML/AI developer tools, some of which are open sourced. In this field there is a proliferation of startups whose tagline is a random pick from all permutations of the words deep learning, platform, enterprise, deployment, training, scale, democratize. Their offerings span from data acquisition (data annotation by humans) to data science workbench environments and hosted model deployment. After speaking with many startups and investors about deep learning developer tools, I felt that it would be useful to share some of my thoughts more broadly.

We hope the new year is off to a great start. If you're like us, chances are you made the resolution to learn something new this year. To help you do so, we've put together a collection of 5 learning resources that we value. For those of you that haven't committed to resolutions for 2018, hopefully, the resources below will inspire you to better yourself. From learning data science, to managing your personal finance, here are 5 cross-discipline learning tools.

Artificial Intelligence (AI) has certainly been one of the hero buzz terms in digital advertising in 2017, with plenty jumping on the bandwagon, but also plenty more investing significant money and resource into what is tipped to shape the future of the industry. In a series of features reflecting on the past year and looking ahead to what we can expect in 2018, ExchangeWire invite over 100 thought leaders from across the industry to share their views. In the latest installment of the series, experts predict what we should expect from AI in 2018. "Marketers will have to start thinking seriously about deep learning. AI was the buzzword of 2017, but next year everyone will be focusing on what AI really can do. Marketers are now digitally-savvy enough to ask tough questions about what deep learning is and what it can do on a high level, and will be informed enough to see the potential for their industry. As more advanced forms of AI become market-ready, deep learning will be at the forefront of any of those conversations, and marketers will begin to understand the value of using deep learning to buy media and create audiences to advertise against."

With its Learning Tools, Microsoft has developed a few ways to make it easier for students to get a better handle on reading and writing. One tool, for example, can read your words aloud and help you identify common grammatical issues. Another, called Immersive Reading, can also read text aloud while highlighting it in "focused" view (where words are spaced out in a distraction-free environment). The Learning Tools started out as a OneNote plug-in, but Microsoft has steadily expanded it to Office apps on desktops, mobile and the web. Today, the company announced they're headed to Word for iPad.

AI has forever changed digital advertising. As marketers, it already allows us to decide how to best engage potential customers and markets like never before. But there's room to grow. Deep learning tools are the next major area of AI-based research, and it will spark a wave of future innovation in every industry – bringing a new era of marketing which both advertisers and end-users will benefit from. Our interfaces have already adapted to fit a user's interests on a personal level, matching industry insights and behaviours with display advertising – or personalization.

AI has forever changed digital advertising. As marketers, it already allows us to decide how to best engage potential customers and markets like never before. But there's room to grow. Deep learning tools are the next major area of AI-based research, and it will spark a wave of future innovation in every industry. Our interfaces have already adapted to fit a user's interest on a personal level, matching industry insights, behaviours, etc. with display ads – or personalization.

Twitter can sometimes feel like a language of its own, but one lecturer is using the social media site as a tool to teach Arabic. In Mahammed Bouabdallah's classes at the University of Westminster, London, students are set simple tasks using Twitter to complement their lessons. Bouabdallah publishes a photo or link and asks students to comment on it in Arabic, or runs a Twitter poll about events happening in Arabic-speaking countries and discusses the results in class. Sometimes, they will use Twitter's built-in translation tool and judge its accuracy. "They have to tweet outside the class, and we discuss it inside the class," says Bouabdallah. His own research suggests that Twitter is popular as a language learning tool, with 80 per cent of surveyed students responding positively to its use.