Almost two years ago, Lean In and Getty images partnered to address bias in the way women are portrayed in stock photography by creating The Lean In Collection, over 6,000 images portraying women as leaders and/or partners. In March of this year, data from Procter & Gamble's Always Confidence and Puberty Survey revealed that more than half of girls surveyed felt that female emoji are stereotypical, while 75 percent wanted to see girls portrayed more progressively. In July, Google announced that the Unicode Consortium had approved 11 new professional emoji--such as farmer, mechanic and welder--with both female and male options, and in a range of skin tones. They also approved a set of male and female versions of existing emoji. But now it's not only stock photos and emoji that are at issue.

Fashion, on the whole, has always been about glamour – perfect, unattainable, stuck inside the glossy pages of a magazine. It has also been the canvas for change – (the word fashion and trend do go so well together!), With the advent of tech in almost all aspects of a consumer's life, it is bewildering that the fashion community and haute couture designers have still been largely resistant to innovating with tech. At a fashion tech panel held during Wills India Fashion Week in Mumbai, a group of ecommerce honchos interspersed with tech experts discussed, among other things, the future of tech in fashion and where they see it headed in the next few years. The less far-fetched ideas were using 3D printing machines in factories, workshops and ateliers to create new and unheard of designs to present to the lovers of haute couture, the use of robots to automate manufacturing processes (although the fashionista on the panel disagreed passionately on this point).

We've added some blogs that were missing in the original list, and eliminated some that aren't worth mentioning, hoping to make this list less biased. AnalyticBridge, about advanced analytics, books, salary surveys, training, challenges. Anil Batra's Web Analysis (Analytics), Online Advertising and Behavioral Targeting blog BigDataNews General articles about big data, as well as news (selected press releases) Business. CoolData By Kevin MacDonell on Analytics, predictive modeling and related cool data stuff for fund-raising in higher education. Cloud of data blog By Paul Miller, aims to help clients understand the implications of taking data and more to the Cloud.

Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, discussed the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine. Speaker Bio Ed Featherston is a director/senior enterprise architect at Collaborative Consulting. He brings 35 years of technology experience in designing, building, and implementing large complex solutions. He has significant expertise in systems integration, Internet/intranet, and cloud technologies, Ed has delivered projects in various industries, including financial services, pharmacy, government and retail.

A 14-year-old girl who wanted her body to be preserved, in case she could be cured in the future, won a historic legal fight shortly before her death. The girl, who was terminally ill with a rare cancer, was supported by her mother in her wish to be cryogenically preserved -- but not by her father. She wrote to the judge explaining that she wanted "to live longer" and did not want "to be buried underground". The girl, who died in October, has been taken to the US and preserved there. Bionic Eyes Are Coming, and They'll Make Us Superhuman Would you like to upgrade your eyes?

It was December 2012, and Doug Burger was standing in front of Steve Ballmer, trying to predict the future. Ballmer, the big, bald, boisterous CEO of Microsoft, sat in the lecture room on the ground floor of Building 99, home base for the company's blue-sky R&D lab just outside Seattle. The tables curved around the outside of the room in a U-shape, and Ballmer was surrounded by his top lieutenants, his laptop open. Burger, a computer chip researcher who had joined the company four years earlier, was pitching a new idea to the execs. He called it Project Catapult. The tech world, Burger explained, was moving into a new orbit.

Very flexible Need some effort to learn Easy to learn and use (still have some flexibility) You can modify it if you can write TensorFlow or Theano Interface of TensorFlow or Theano or If you want to learn theano: 51.

Recent breakthroughs in artificial intelligence and machine learning are enabling computers to understand the world and respond intelligently to it. Google is already embracing these technologies for Android, but they're poised to have bigger implications, touching everything from drones to medical diagnosis. He made his fortune as co-founder of Netscape two decades ago, and more recently his firm has invested in successful companies like Facebook, Twitter, Airbnb, Slack, and Lyft. Andreessen is in constant contact with entrepreneurs and investors trying to build the next great technology company. Andreessen argues that recent breakthroughs mean artificial intelligence has the potential to spawn a new generation of big, important technology companies. At the same time, he acknowledges that certain industries have proven stubbornly resistant to technological change -- and he argues that more work is needed to bring the power of software to every corner of the economy. We spoke by phone in late September. The transcript has been edited for length and clarity.

Robots have become commonplace in many aspects of life including health care, military and security work. Yet until recently little thought has been given outside of academic circles to the ethics of robots. Silicon Valley Robotics recently launched a Good Robot Design Council -- which has launched "5 Laws of Robotics" guidelines for roboticists and academics -- on the ethical creation, marketing and use of robots in everyday life. Robots should comply with existing law, including privacy. Robots are products; they should be safe, reliable and not misrepresent their capabilities.

On the basis of the amount of start-ups working on bot related activities at Web Summit 2016, it would seem as if bots may be about to become mainstream after all. I counted 23 bot related companies exhibiting at the early stage (Alpha) area at Web Summit last week. These included bots for different kinds of services as well as bot building platforms. A year ago, this area might have been taken up by start-ups working on mobile apps. Is this a clear sign that bots are about to move beyond the nascent stage?