CLO-WTSP: 16,703 labeled audio clips captured by remote acoustic sensors deployed in Ithaca, NY and NYC over the fall 2014 and spring 2015 migration seasons. Each clip is labeled to indicate whether it contains a flight call from the target species White-Throated Sparrow (WTSP), a flight call from a non-target species, or no flight call at all. CLO-SWTH: 179,111 labeled audio clips captured by remote acoustic sensors deployed in Ithaca, NY and NYC over the fall 2014 and spring 2015 migration seasons. Each clip is labeled to indicate whether it contains a flight call from the target species Swainson's Thrush (SWTH), a flight call from a non-target species, or no flight call at all. CLO-WTSP: 16,703 labeled audio clips captured by remote acoustic sensors deployed in Ithaca, NY and NYC over the fall 2014 and spring 2015 migration seasons.

The medical profession is under increasing pressure. A global shortfall in healthcare workers will reach 12.9 million by 2035, according to the World Health Organization. And in China, the shortage of healthcare professionals is even more acute. In response to this, Chinese search engine Baidu launched a medical chatbot named Melody, designed to speed up the process of diagnosing patients. Melody, announced in October, was created for Baidu's Doctor mobile app.

I will update this article regularly. An old version can be found here and has many interesting links. All the material presented here is not in the old version. This article is divided into 11 sections. A laptop is the ideal device. I've been using Windows laptops for years, and I always installed a Linux layer (acting as an operating system on top of Windows), known as Cygwin. This way, you get the benefits of having Windows (Excel, Word, compatibility with clients and employers, many apps such as FileZilla) together with the flexibility and pleasure of working with Linux. Note that Linux is a particular version of UNIX. So the first recommended step (to start your data science journey) is to get a modern Windows laptop (under $1,000) and install Cygwin. Even if you work heavily on the cloud (AWS, or in my case, access to a few remote servers mostly to store data, receive data from clients and backups), your laptop is you core device to connect to all external services (via the Internet). Don't forget to do regular backups of important files, using serives such as DropBox. Once you installed Cygwin, you can type commands or execute programs in the Cygwin console.

There are huge numbers of variants of deep architectures as it's a fast developing field and so it helps to mention other leading algorithms. The list is intended to be comprehensive but not exhaustive since so many algorithms are being developed [1] [2][1],[2]. LAMSTAR is Large memory storage and retrieval neural networks. Google DeepMIND uses this and it is based on reinforcement learning which is a major branch of psychology, aside from evolution. LAMSTAR are increasingly being used in medical and financial applications.

While these have their benefits, will this eventually begin the rise of AI overlords? Deep learning systems are becoming a growing trend in some of the world's largest tech companies. This allows AI systems to be able to "see" and learn for themselves depending on how they are programmed. These are new technologies alongside cloud computing and even speech recognition, among others. However, According to Wired, it appears a lot of companies are being re-oriented toward focusing on AI.

Artificial intelligence (AI) was once a science fiction dream, but today's technology brings it ever closer to reality. And, unlike those science fiction movies where AI resided in life-like android bodies, it may soon fit neatly in our pockets. Through advances in areas such as deep learning and low-power computer chips, AI could soon find a home in one of our most frequently used devices--our smartphones. Your smartphone is probably one of the most useful tools you own. Not only does it allow you to stay in touch with friends, family, and business associates, it permits you to access nearly any information on the internet, get directions (and arrival times), find entertainment, play games, check email, maintain your calendar … you get the idea.

The term Artificial Intelligence was originally coined by John McCarthy in 1955, defining it as "the science and engineering of making intelligent machines". Now more than a half a century old, the field of AI and machine learning is finally achieving some of its oldest goals by being used successfully in areas such as data mining, industrial robotics, logistics, speech recognition, banking software, medical diagnosis and search engines. Tech giants have all been investing heavily in AI and Machine Learning. In 2010 Facebook introduced facial recognition technology, and in 2013 Mark Zuckerberg dedicated a lab to AI research. In 2014 Google bought artificial intelligence startup DeepMind for $400 million (£263 million), making it one of the largest tech acquisitions to date.

It may take several years or even decades, but hackers won't necessarily always be human. Artificial intelligence -- a technology that also promises to revolutionize cybersecurity -- could one day become the go-to hacking tool. Organizers of the Cyber Grand Challenge, a contest sponsored by the U.S. defense agency DARPA, gave a glimpse of the power of AI during their August event. Seven supercomputers battled each other to show that machines can indeed find and patch software vulnerabilities. Theoretically, the technology can be used to perfect any coding, ridding it of exploitable flaws.

AImotive, formerly AdasWorks, is the leader in AI-powered motion. AImotive delivers a full stack technology solution and powerful Artificial Intelligence software for the automotive industry, designed to provide self-driving vehicles better safety and increased productivity. How does your self-driving technology work? AImotive products deliver the robust technology required to operate self-driving vehicles in all conditions, and can be adapted to different driving styles and cultures. AImotive enables OEMs to move faster and more efficiently into fully autonomous car production.

There has never been more exciting times than now when building Machine Intelligence in systems is given more emphasis than ever. When I first started studying about Machine Learning, I knew, this will not only change the current state of engineering, but the way Digital is being perceived. Initially, to most, Digital meant SMAC stack, but that never convinced me.Most promising definition I could put was, Digital Engineering is about re-imagining current system engineering to improve customer journeys and increase system engagements. From framework thinking, I like this 3I acronym for Digital. Interface – Rethinking how digital can change the way customers interact and achieve their objectives.