Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Manufacturing Data and Machine Learning Platform: Enabling Real-time
  Monitoring and Control of Scientific Experiments via IoT   IoT devices and sensor networks present new opportunities for measuring,
monitoring, and guiding scientific experiments. Sensors, cameras, and
instruments can be combined to provide previously unachievable insights into
the state of ongoing experiments. However, IoT devices can vary greatly in the
type, volume, and velocity of data they generate, making it challenging to
fully realize this potential. Indeed, synergizing diverse IoT data streams in
near-real time can require the use of machine learning (ML). In addition, new
tools and technologies are required to facilitate the collection, aggregation,
and manipulation of sensor data in order to simplify the application of ML
models and in turn, fully realize the utility of IoT devices in laboratories.
Here we will demonstrate how the use of the Argonne-developed Manufacturing
Data and Machine Learning (MDML) platform can analyze and use IoT devices in a
manufacturing experiment. MDML is designed to standardize the research and
operational environment for advanced data analytics and AI-enabled automated
process optimization by providing the infrastructure to integrate AI in
cyber-physical systems for in situ analysis. We will show that MDML is capable
of processing diverse IoT data streams, using multiple computing resources, and
integrating ML models to guide an experiment.

12
The categories of this paper are: nucl-th
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
4
The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph
18
The categories of this paper are: econ
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci