Tag Archives: BitCoin

Week Links #002

It’s been a while but here are some things which have piqued the interest of the IMaR team:

  • blazer.buzz – IoT in the hive

    With fears over declining bee populations worldwide, an Irish start-up Blazer Team believes IoT could provide a solution. Blazer are installing its sensors in a bee hives in order to remotely monitor the health of each bee and compile that data to give an in-depth analysis of the colony’s overall health.
  • How to choose the best connectivity network for your IoT project

    How sensors communicate with the internet is a key aspect when conceiving of a connected project, OpenSensors.io have a handy matrix and of common communication technologies and their pro’s and cons.
  • Deep Learning with TensorFlow and Udacity

    In an attempt to help make deep learning even more accessible Google in collaboration with Udacity have launched a new Deep Learning Course.
  • HaLow World

    The Wi-Fi Alliance have announced a new extension to the Wi-Fi standard, Wi-Fi HaLow (pronounced “halo”) is designed for low-power devices. It’ll travel farther and even do a better job of traveling through walls. Basically, it’s an all around better option for smart home and IoT devices, at least if these claims hold up.

And here are a couple of events happening over the next week in Kerry which we are looking forward to:

  • Cantillon 2016 – Fintech: Disrupting the Financial Landscape‚ÄĚ

    The 2016 Cantillon conference takes place in IT Tralee on Thursday next, this year the conference is focusing on BitCoin, Cryptocurrency and the financial services sector.
  • The Irish C√≥daithe Competition

    The Irish Códaithe Competition is a coding/technology event in Killorglin Community College on Saturday week (27th February). The event is the brainchild of The Irish Códaithe Competition is a competition set up by three 2nd year students from Killorglin Community College including Timothy McGrath with whom IMaR helped to develop an NFC powered mobile app to aid those with visual impairments.