From Collection To Connection: How Energy Utilities Can Become Data Orchestrators

Because AI can help map precisely when and how energy is consumed, utilities can pivot from being data collectors to data ...
GitHub

Sequence-to-point (seq2point) learning for non-intrusive load monitoring (NILM)

Seq2point learning is a generic and as well as simple framework for NILM [1-2]. It learns a mapping from the mains window Y to the midpoint x of the curresponding appliance. From probabilistic ...
Android Police

Google's NotebookLM can now write code and analyze data for you

I've been writing about Android since 2011, with a focus on device reviews, Samsung and Google Pixel hardware, and the latest happenings in the ecosystem. In my entire writing career, I've reviewed ...
IEEE

Wireless Power Transfer to Multiple Loads Over a Long Distance With Load-Independent Constant-Current or Constant-Voltage Output

Abstract: The regulated output characteristic is crucial for a wireless power transfer (WPT) system. Most studies focus on the single-load system or the system with multiple evenly distributed loads; ...
Nature

Bots are scraping open data — how should researchers respond?

The snowballing ability of artificial intelligence to trawl open data sets has some scientists worried about losing control ...
MSN on MSN

These 5 Python libraries turned me into a better data analyst than Excel ever could

The power of Python trumps Excel workbooks.
Morning Overview on MSN

AI tools are starting to read raw sensor data well enough to steer physical robots

Researchers have built AI models that take raw camera images and joint-position readings from robot arms and convert them ...

At the Ambitious New A.I Museum, You Feel the Art, and It Feels You Right Back

A look inside Dataland in Los Angeles, dedicated entirely to A.I.-generated art. Refik Anadol, its founder, says it’s for ...