"There's no words," Wilford said. "It's sheer terror, a sense of imminent danger, to get to your child and be there to protect him."

"Evil visited this community today and it's too early to speak of recovery, but each parent, each sibling, each member of the family has to understand that Connecticut — we're all in this together. We'll do whatever we can to overcome this event," Gov. Dannel Malloy said.

"It has to stop, these senseless deaths."

I was bored in school.

project-based learning, technology, and an enthusiastic teacher. I couldn't agree more.

When technology is deployed effectively, it can free up teachers from standing in front of the class and presenting information. We can "flip" the classroom (2) with lectures occurring at home via the Internet and rigorous project-based learning taking place in cooperative groups at school. In this environment, teachers can be guides and coaches to the students. What is more powerful in education than a student who is guided by an adult who truly cares -- someone who knows your name, who encourages you, and is committed to your success in life?

Typing a password into your smartphone might be a reasonable way to access the sensitive information it holds, but a startup called EyeVerify thinks it would be easier—and more secure—to just look into the phone’s camera lens and move your eyes to the side.

EyeVerify’s software identifies you by your “eyeprints,” the pattern of veins in the whites of your eyes. Everybody has four eyeprints, two in each eye on either side of the iris. The company claims that its method is as accurate as a fingerprint or iris scan, without requiring any special hardware

Rush says the software can tell the difference between a real person and an image of a person. It randomly challenges the smartphone’s camera to adjust settings such as focus, exposure, and white balance and checks whether it receives an appropriate response from the object it’s focused on.

“I think speech recognition is really going to upend the current [computer] interface.

“We’re at a transition point where voice and natural-language understanding are suddenly at the forefront,

Jim Glass, a senior research scientist at MIT who has been working on speech interfaces since the 1980s, says today’s smart phones pack as much processing power as the laboratory machines he worked with in the ’90s. Smart phones also have high-bandwidth data connections to the cloud, where servers can do the heavy lifting involved with both voice recognition and understanding spoken queries. “The combination of more data and more computing power means you can do things today that you just couldn’t do before,” says Glass. “You can use more sophisticated statistical models.”

Statewide test scores haven’t changed much.

“Maybe the full potential of the laptop isn’t being realized,”" he said.

How to offer every child the same opportunity at a quality education