More broadly, we hope that MusicNet can be a resource for more creative tasks. Automatic music transcription, inferring a musical score from a recording, is a long-standing open problem in the music information retrieval community. Music streaming services traditionally make recommendations based on collaborative filtering and metadata (e.g. Recently, some services have begun to incorporate audio features into their recommendation engines. Features learned from the MusicNet labels might be useful for recommendation.

Cognitive computing is rapidly infusing every aspect of our lives. As 2017 approaches, the cognitive revolution--riding on artificial intelligence (AI), machine learning, and data science -- is coming home to roost more rapidly than many realize. Here are my predictions for the many ways in which you may encounter cognitive technology. Most e-commerce applications now include in-line chatbots that pop out automatically and/or at your request to answer your questions, recommend products for you to purchase, and otherwise make your customer experience more seamless and satisfying. Behind the natural-language conversational interface are cognitive algorithms that are built and tuned by data scientists through real-world experiments, A/B tests, machine learning, and predictive analytics assets in line to merchants' applications.

In 2017, major tech companies will continue their race to develop real-life artificial intelligence applications. According to Venture Beat, in the next year will emerge AI intuitive features and standards. Digital designers everywhere will start to recognize the AI trends. As consequence, voice interactions will greatly improve. The set of models and definitions created by developers today for voice interaction with assistants like Siri and Alexa will influence the field for a long time to come.

You probably caught video a few weeks back of Alexa speaking through Big Mouth Billy Bass, a singing fish that got popular in the late 1990s. If you haven't seen it yet, take a moment to watch and enjoy. The animatronic fish is a good reminder that Amazon's Alexa does not just come in speakers like Amazon Echo or Echo Dot. The Alexa Voice Service (AVS) can be used to put Alexa inside a wide range of devices, and since it's in the cloud, Alexa can operate without dependency on a local device for computing power. With Amazon deep learning services, the Lex bot framework, and a smarter Alexa Skills Kit announced at AWS re:Invent this week, people can expect to see and interact with Alexa in places way beyond an Echo or animatronic fish.

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Artificial Intelligence categories and how they compare with one another. These categories are comprised of companies that have reached maturity with significant financing. These categories are comprised of companies that have reached maturity with less financing. These categories are comprised of companies that are less mature with significant financing. These categories are comprised of companies that are less mature with earlier stages of financing.

Previously known mostly as a construct of science fiction, artificial intelligence (AI) is quickly becoming an everyday convenience. In fact, for most consumers, there's likely some form of it within arm's reach right now -- an AI ready to help with the most remedial of tasks. From basic personal assistants like Apple's Siri to sophisticated program's like IBM's Watson, AI systems are growing in their function and popularity and becoming a crucial central hub for the ever-expanding Internet of Things (IoT). And smart brands are latching on. Uber customers can order a ride by starting a conversation with the company's Facebook Messenger chatbot.

Dating app Tinder relies on algorithms to decide which photos users see. As algorithms become entrenched into society, the debate about their effects rages on. In essence, algorithms are sequences of instructions used to solve problems and perform functions in computer programming. As mathematical expressions, algorithms existed long before modern computers. While they vary in application, all algorithms have three things in common: clearly-defined beginning and ending points, discrete sets of "steps," and design meant to address a specific type of problem.

The Cooper Hewitt Design Museum houses an impressive collection of designed objects that chronicle the history and significance of design in our evolving world. These objects range from unrealized works of architecture to handwoven textiles from Africa to graphic designed posters that reflect the culture and pulse of humanity of their time. The museum is housed in the former mansion of Andrew Carnegie. Upon its completion in 1901, the sixty-four room mansion was the first private residence in the United States to have a structural steel frame that allowed for more expansive spaces and a feeling of lightness. The Carnegie Mansion was also the first private residence to have a residential elevator, central heating, and a precursor to central AC.

The other day, I covered at Search Engine Land a Wired article named Google's hand-fed AI now gives answers, not just search results. The article explains that Google is now using "sentence compression algorithms" as of this week in the desktop search results. Sentence compression algorithms is Google's way of extracting the best answer for a query to be displayed in the featured snippets. Of course, this is not just used for featured snippets but also for Google Home responses, Google Assistant and more. Which is why it is important that Google build a better way to get more answers.

Money makes the world go round, or so they say. Payments, investments, insurance and billions of transactions are the beating heart of a fractal economy, which echoes the messy complexity of natural systems, such as the growth of living organisms and the bouncing of atoms. Financial systems are larger than the sum of their parts. The underlying rules that govern them might seem simple, but what surfaces is dynamic, chaotic and somehow self-organizing. And the blood that flows through this fractal heartbeat is data.