It's a few years old, but still acts as a great technical introduction to the topic.

How To Create a Website in a Weekend! (Project-Centered Course) State University of New York via Coursera (3 ratings) 8th May, 2017

Piano players may have more in common with a caveman than you might think, if the latest scientific findings are to be believed. Experts have previously argued that the evolution of language in our early ancestors led to advances stone age tools. But new research suggests that developments in areas of the brain used when we master musical instruments are responsible. Researchers from The University of East Anglia have been examining a'revolutionary' step forward in stone tool crafting around 1.75 million years ago. Around 1.75 million years ago, early humans moved from making simple tools from rocks and pebbles to producing two-sided, shaped tools like axes and cleavers. Researchers from the University of East Anglia wanted to better understand the link between brain development and the cognitive abilities behind creating these tools.

This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided. Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GAN).

Researchers from the Byers Eye Institute at Stanford University have found a way to use artificial intelligence to fight a complication of diabetes that affects the eyes. This advance has the potential to reduce the worldwide rate of vision loss due to diabetes. In a study published online in Ophthalmology, the journal of the American Academy of Ophthalmology, the researchers describe how they used deep-learning methods to create an automated algorithm to detect diabetic retinopathy. Diabetic retinopathy (DR) is a condition that damages the blood vessels at the back of the eye, potentially causing blindness. "What we showed is that an artificial intelligence-based grading algorithm can be used to identify, with high reliability, which patients should be referred to an ophthalmologist for further evaluation and treatment," said Theodore Leng, M.D., lead author.

The article studies the advantage of Support Vector Regression (SVR) over Simple Linear Regression (SLR) models. SVR uses the same basic idea as Support Vector Machine (SVM), a classification algorithm, but applies it to predict real values rather than a class. SVR acknowledges the presence of non-linearity in the data and provides a proficient prediction model. Along with the thorough understanding of SVR, we also provide the reader with hands on experience of preparing the model on R. We perform SLR and SVR on the same dataset and make a comparison. The article is organized as follows; Section 1 provides a quick review of SLR and its implementation on R. Section 2 discusses the theoretical aspects of SVR and the steps to fit SVR on R. It also covers the basics of tuning SVR model.

Even though Uber's self-driving efforts in the United States might have hit a massive snag, the ride-hailing giant is still planning to put a foot forward with its ongoing plans. It has now decided to set up another Advanced Technologies Group (ATG) office, but this one is being set up outside the country. As announced today, a new R&D center is coming up in Toronto and will be spearheaded by local AI researcher Raquel Urtasun. The said ATG office won't be focusing on the development of cameras, sensors or outfitting the vehicles themselves. Instead, the team led by Urtasun will be working on the software aspects of the system i.e artificial intelligence and machine learning. This means the said research won't exactly muddle with the existing hardware developed at the U.S ATG office.

Acorns is the newest app capturing the imagination of the Australian market. Aiming to streamline the saving process while making it easier than ever to enter the investing sphere, Acorns is the hyped-up US micro-investing app which launched in Australia last year. A Techly Guest Post by venture capitalist, Omar Khan, had a look at the unique functions of the Acorns app. The app's investment options are broken down like so: "The app gives investors several options. The other, a voluntary contribution whenever I have some spare money I'd like to save.

As artificial intelligence becomes more human, to co-exist, does human intelligence need to become more artificial? We've spent a lot of time philosophizing about where Artificial Intelligence is going to take us, how far we are to achieving general AI and the implications it will have on humanity – all not without the sky net scenarios! Hype aside, there are companies out there who are focusing on how we can use artificially intelligent applications to improve the human experience, sustain life on our planet and significantly boost the economy. This pioneering technology could well see the next world-changing scientific discovery hailing from Silicon Valley, especially considering the significant increase in investment over the past few years. According to the Alzheimer's Association, there are more than 5 million Americans living with Alzheimer's today, with a predicted 16 million by 2050, and a further 850,000 people with dementia in the UK.

This article originally appeared on the Motley Fool. Stocks inched back into record territory last week thanks to a mix of strong corporate earnings reports and economic data showing a healthy U.S. job market. The Dow Jones Industrial Average (DJINDICES: DJI) passed 21,000 points while the S&P 500 (SNPINDEX: GSPC) notched a 7% gain so far for the year. Earnings season rolls on over the coming week, with a few of the most anticipated reports set to be released coming from Walt Disney (NYSE:DIS), NVIDIA (NASDAQ:NVDA), and Whole Foods Market (NASDAQ:WFM). Here are a few trends for investors to watch in the announcements.