Ping.it brings context via related stories to its customizable RSS feeds Story byPaul Sawers Paul Sawers was a reporter with The Next Web in various roles from May 2011 to November 2014. Follow Paul on Twitter: @psawers or check h(show all)Paul Sawers was a reporter with The Next Web in various roles from May 2011 to November 2014. Follow Paul on Twitter:@psawersor check him out onGoogle+. Get the TNW newsletter Get the most important tech news in your inbox each week....

Pinpoint your travel adventures on Mapness Story byErnst-Jan Pfauth Ernst-Jan Pfauth is the former Editor in Chief of Internet at NRC Handelsblad, as well as an acclaimed technology author and columnist. He a(show all)Ernst-Jan Pfauth is the former Editor in Chief of Internet at NRC Handelsblad, as well as an acclaimed technology author and columnist. He also served as The Next Web’s blog’s first blogger and Editor in Chief, back in 2008....

Pinpoint your travel adventures on Mapness Story byErnst-Jan Pfauth Ernst-Jan Pfauth is the former Editor in Chief of Internet at NRC Handelsblad, as well as an acclaimed technology author and columnist. He a(show all)Ernst-Jan Pfauth is the former Editor in Chief of Internet at NRC Handelsblad, as well as an acclaimed technology author and columnist. He also served as The Next Web’s blog’s first blogger and Editor in Chief, back in 2008....

Pioneers of deep learning think its future is gonna be lit Yoshua Bengio, Geoffrey Hinton, and Yann LeCun, explain the current challenges of deep learning and what the future might hold The challenges of deep learning Deep learningis often compared to the brains of humans and animals. However, the past years have proven that artificial neural networks, the main component used in deep learning models, lack the efficiency, flexibility, and versatility of their biological counterparts....

Pioneers of deep learning think its future is gonna be lit Yoshua Bengio, Geoffrey Hinton, and Yann LeCun, explain the current challenges of deep learning and what the future might hold The challenges of deep learning Deep learningis often compared to the brains of humans and animals. However, the past years have proven that artificial neural networks, the main component used in deep learning models, lack the efficiency, flexibility, and versatility of their biological counterparts....