career news

5 Things That Can Sabotage a Startup and How to Avoid Them

In 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 Hiring

At 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’ Emotions

Gaming 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 Work

Media 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 China

Does 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 Technology

Notre 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 Labs

John 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 Use

Rigid 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