Be the first to know.
Get our iot  weekly email digest.

Tagged with

IoT

ORGANIZATIONS.

SHAPING THE INDUSTRY.

AVSystem

IoT

Connect IoT devices quickly. Manage them comprehensively at scale. Optimize power and data usage.

22 Posts

Particle

Internet of Things

The leading Integrated IoT Platform – everything you need to power an IoT p...

16 Posts

Infineon

Electronics

Infineon Technologies AG is a German semiconductor manufacturer founded in ...

13 Posts

Oversight

AR/VR

Oversight helps emergency response teams better prepare for life-and-death ...

5 Posts

Matroid

Computer Vision

If you can SEE IT. We can DETECT IT.

5 Posts

Latest Posts

As IoT technology evolves, automation will play a more important role by, for instance, automatically stopping the watering process once the soil has received a sufficient level of moisture. Furthermore, analysis of irrigation data transmitted to Cloud computing can help ensure that watering occurs at the optimal time (for example, overnight or at cooler times during the day) to minimize evaporation losses.

Cellular IoT helps farmers use water wisely

Products referred to as "beauty tech" that utilize AI, IoT, and other technologies are breathing new life into the cosmetics industry. First, let's look at the background that led to the birth of beauty tech.

Today's Evolving Beauty Tech

Enough food is produced each year to comfortably feed the world’s 8 billion population. Yet, in 2023 at least 345 million people face high levels of food insecurity, according to the World Food Programme. The true number could be twice that. Between harvest and home, one-third of all the food produced is lost or wasted—about 2.5 billion tonnes—the weight of a couple of Mount Everests.

Wasting away: Wireless IoT tackles global food waste crisis

The greater the amount of high-quality data you have, the better your machine learning model will be. This post looks at the challenges (and solutions) involved in creating and organizing a dataset when you’re starting from scratch.

Improving Dataset Creation for Machine Learning