Andrea Goldsmith's work has enabled billions of people around the world to enjoy fast, reliable cell phone and WiFi networks. But she has an even greater ambition: she wants to make engineering more inclusive and diverse.
Technology—and particularly innovative advances of the last decade—are the only way schools will “reopen” for the coming school year. But while technology might be the solution, it is not the answer.
One of the most influential demonstrations of the superiority of deep learning over old-fashioned symbolic AI arrived when Google DeepMind’s AlphaGo beat the world champion in the ancient Chinese game, Go.
As the name suggests, artificial neural networks are modeled on biological neural networks in the brain. The brain is made up of cells called neurons, which send signals to each other through connections known as synapses.
Techstars cofounder, entrepreneur, early-stage investor, and author Brad Feld offers new guidance and insights for startup communities from his latest book, The Startup Community Way.
Today, AI based on deep learning and neural networks is taking the world by storm. However, many of the algorithms that guide our web searches and driving directions today are much older, rooted in what people now call “Good, Old Fashioned AI,” also known as “symbolic” AI.
As Dave Barry observed, reading is "a vacation for the mind," and we can certainly all use a break right about now. Here are some tech-related ideas for your summer reading pleasure!
Looking back, the entire effort was a balance of teamwork, community support, new tools at the right time, and, most importantly, digging deep to find a new level of stamina and creativity.
On June 24, 2020, Sullivan joined David C. Brock in a virtual CHM Live event and shared lessons about the importance of maintenance and invention for the Hubble, a device that’s revolutionized our understanding of the universe.
Yes, we will work differently in the post-pandemic world. For some of us that will mean working from home more often. It’s even likely that more people will work from home than did before the pandemic. But not everyone. Not even most people. Especially in Silicon Valley.