Skip to main content
  1. Home
  2. Emerging Tech
  3. News

Field goals in the NFL may get a little harder thanks to sensor-stuffed footballs

Add as a preferred source on Google

Think making field goals in football is too easy? Apparently, you’re not alone. In an effort to make those extra-pointers or three-point kicks a bit more difficult, the National Football League is toying with the idea of placing data chips in footballs during both preseason and Thursday night games to determine whether or not those famous yellow goal posts should be narrowed. The Toronto Sun reports the NFL and its associated competition committee “continue to look at” increasing the difficulty of field-goal kicking.

“The discussion has really revolved around narrowing the uprights,” said Dean Blandino, the NFL’s senior vice-president of officiating. “That would be one way to affect both the extra point and the field goal. (Success rates) have continued to climb over the years as our field-goal kickers and that whole process has become so specialized, from long snapper to holder to kicker.” Indeed, over the course of the last three seasons, NFL kickers have made 85 percent of their attempts, leading many to believe that this part of the game is simply too straightforward.

Recommended Videos

“We’ll do some studies this year,” Blandino said, referring to the insertion of computer chips into each ball kicked during preseason. Technology associated with these high-tech pigskins will help the NFL decide how far inside the posts successful field goals and extra points are kicked, the Sun reports.

No changes are slated for the extremely near future, with Blandino noting that the competition committee will decide after the 2016 season “if we do decide to shorten the distance between the uprights, what is the right distance, and where should it be to make it a more difficult kick.” But the 2017 season may be fair game for … well, a new game.

“You never know,” Blandino said. “We’ll see what the data tells us. The committee will discuss it and then make a recommendation for 2017 if they feel that we need to go that route. But I wouldn’t know at this point, without seeing how it goes this year.”

Lulu Chang
Fascinated by the effects of technology on human interaction, Lulu believes that if her parents can use your new app…
Yet another study says AI is bad for elections, and the rabbit hole gets worse
AI may be an election bomb waiting for someone to light the fuse
Voters cast their ballots on Election Day

Another election, another study has concluded that asking an AI chatbot for political guidance is a spectacularly bad idea. Research conducted during Hungary’s 2026 parliamentary election found that ChatGPT and Google Gemini offered not just inaccurate but also inconsistent and unreliable voting advice. The chatbots misclassified voter profiles, overlooked relevant parties, recommended parties absent from the ballot, and sometimes produced materially different answers when given the same information repeatedly.

AI keeps failing the voter test

Read more
Samsung’s humanoid robot ambitions are real, but factories come first
Samsung’s new robotics division has humanoids in its sights, although its immediate business is far more practical factory automation
Robot Touch Human Finger

Samsung wants a place in the humanoid race, but its new robotics push begins with machines built for factories rather than homes.

The CEO-led RX robotics division will initially focus on manufacturing robots. Samsung has separately identified humanoids as a priority, although it hasn’t announced a commercial model or explained where one fits into the division’s immediate plans.

Read more
The future of AI may depend on this one behind-the-scenes change
Running Claude on Android.

Whenever a new AI model arrives, it's easy to get caught up in the bells and whistles. We talk about how much smarter it is, how quickly it answers questions, or how realistic its images have become. But here's the thing: none of that matters much if the AI can't reliably work with the apps and services people use every day.

That's why an upcoming update to the Model Context Protocol (MCP) caught my attention. It isn't a new chatbot or a fancy AI model. In fact, most people will never even know it's happening. But it could quietly make the AI ecosystem a lot healthier. If you've never heard of MCP before, don't worry. Think of it as a shared language that lets AI assistants safely talk to apps like Gmail, Slack, calendars, databases, and countless other services. Instead of every company inventing its own way to make those connections, MCP gives everyone a common rulebook.

Read more