5 Things That Can Sabotage a Startup and How to Avoid ThemIn this column IEEE Fellow Chenyang Xu shares five common pitfalls he’s seen that can sink a startup and suggests how to avoid them. Xu is a founding partner at the Silicon Valley Future Academy of Palo Alto, Calif., and a partner at the Corporate Innovators Huddle of Menlo Park, Calif.
Publish date: 11/05/2019
Why Does Israel Have So Many Startups?Tel Aviv contains more startups per capita than any city in the world other than Silicon Valley, according to the 2019 Global Startup Ecosystem Report published by Startup Genome and the Global Entrepreneurship Network.
Publish date: 11/05/2019
At Domino’s Biggest Franchisee, a Chatbot Named “Dottie” Speeds Up HiringAt RPM Pizza, a chatbot nicknamed “Dottie” has made hiring almost as fast as delivering pizzas.
Publish date: 11/05/2019
Are Engineers Who Specialize More Successful?“Real” engineers can do anything, but maybe that’s not the right goal.
Publish date: 10/30/2019
Future Video Games Could React to Players’ EmotionsGaming pioneer Michael Zyda talks about immersive experiences, training developers, and the impact of e-sports.
Publish date: 10/30/2019
MIT Media Lab Scientist Used Syrian Refugees to Tout Food Computers That Didn't WorkMedia Lab’s Caleb Harper claimed success for a deployment of food computers to a refugee camp in Jordan, but an investigation by IEEE Spectrum reveals that it never happened.
Publish date: 10/28/2019
U.S. Semiconductor Industry Veterans Keep Wary Eyes on ChinaDoes the U.S. need its own giant silicon foundry to protect itself from China’s ambitions?
Publish date: 10/16/2019
Startup Resonado Reinvents the Speaker With Its Flat Core TechnologyNotre Dame alumni are developing speakers that can conform to small spaces.
Publish date: 10/09/2019
Want a Really Hard Machine Learning Problem? Try Agriculture, Says John Deere LabsJohn Deere, the nearly 200-year-old tractor manufacturer, now considers itself a software company
Publish date: 10/07/2019
AI Faces Speed Bumps and Potholes on Its Road From the Research Lab to Everyday UseRigid IT departments and job-hopping data scientists are just two of the challenges that make implementing machine learning harder than you might think.
Publish date: 10/01/2019
