AI News, MM Jun 2019 by PrimeCreative artificial intelligence

Ocean Controls presents easily mounted displays and controllers

One of the time-consuming tasks in electrical cabinet building is cutting out rectangular holes in which to mount process indicators and controllers.

Akytec manufacture a series of attractive, compact programmable process indicators with a 4 digit 7 segment 24x 48mm LED Display.

Rather than having to cut a rectangular hole in the cabinet the user simply drills a standard 22mm diameter hole as used for pushbuttons.

The displays are fully programmable with an alarm output for low, within range or high levels, and are available with Red or Green (more suitable for bright sunlight) LEDs.

It features programmable signal scaling, adjustable decimal point position, display range of ¬–999…+9999 and a square root function (for special transmitters).

The NPN transistor output can control a load up to 42 V DC / 200 mA, which makes it possible to implement on/off control of pumps, coolers and heater.

ITP11-W process indicator 4-20 mA loop-powered The ITP11-W’s rugged design allows it to operate in an ambient temperature range of -40…+80°C making it suitable for use in telemetry and solar applications where cabinets are exposed to harsh weather conditions.

Due to this solution, the SMI200’s enclosure is significantly minimised to 100 x 60 x 60 mm and fits into a standard 22.5 mm borehole for signal lamps and pushbuttons.

Pernod Ricard to introduce AI and machine learning

Complexica, an Australian provider of Artificial Intelligence software, has announced that it has signed a contract with Pernod Ricard Winemakers to deliver advanced Artificial Intelligence and machine learning capabilities to various supply chain and production functions.

“After conducting an evaluation and assessment process earlier this year, we have selected Complexica as our vendor of choice for our AI Foundations project, which will seek to optimise our business performance, by enhancing decision making and improving our ways of working, while making work safer for our employees.

We wanted to partner with an organisation that could provide global thought leadership on applied Artificial Intelligence – particularly in areas such as global optimisation and multi-objective optimisation – and had a deep appreciation of winemaking production processes, and the inherent complexities that exist within supply chains.

CHI '19- Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Early warning dashboards in higher education analyze student data to enable early identification of underperforming students, allowing timely interventions by faculty and staff.

To understand perceptions regarding the ethics and impact of such learning analytics applications, we conducted a multi-stakeholder analysis of an early-warning dashboard deployed at the University of Michigan through semi-structured interviews with the system's developers, academic advisors (the primary users), and students.

To understand perceptions regarding the ethics and impact of such learning analytics applications, we conducted a multi-stakeholder analysis of an early-warning dashboard deployed at the University of Michigan through semi-structured interviews with the system's developers, academic advisors (the primary users), and students.