Honeywell rolls out two rugged computers to streamline fulfillment – DC Velocity


Handhelds connect to warehouse software platforms, firm says. Honeywell International Inc. has rolled out two rugged mobile computers that it said will streamline fulfillment operations by connecting workers and DCs to cloud-based databases and the Internet of Things (IoT). The Dolphin CN80 Mobile...

LG Whisen ThinQ Is AI-Enabled Air Conditioner With Smart Sensors

International Business Times

Earlier this week, industry sources disclosed that Samsung and LG are planning to launch artificial intelligence-based air conditioners later this month. At a media event in Seoul, LG introduced its premium air conditioning unit that boasts of artificial intelligence capabilities. "The Whisen ThinQ air conditioner has evolved to an air conditioner that can see, hear, think and speak," Song Dae-hyun, president of home appliance & air solutions at LG, said. The 2017 model did come with sensors that gave it the ability to learn about the room where it is placed, so it could provide optimum temperature to users. With ThinQ, the 2018 model features the ability to learn about the room and analyze real time changes that are taking place inside and outside of it.

Samsung, LG Push Internet Of Things With AI-Based Air Conditioners

International Business Times

After introducing a bunch of new technologies and upcoming products at this year's Consumer Electronics Show (CES) 2018 last week, crosstown rivals Samsung and LG are now poised to launch their artificial intelligence-based air conditioners within this month. On Tuesday, South Korean news agency Yonhap learned from industry sources that the two neighboring tech companies are preparing to introduce their new smart cooling systems this January. LG has already scheduled the launch event for its advanced air conditioners later this week, while Samsung is expected to introduce its new products later this month. The idea that Samsung and LG are releasing AI-powered air conditioners shouldn't come as a surprise by now. The two home appliance manufacturers emphasized during CES that they will be pushing their Internet of Things (IoT) technology and AI technology to their upcoming products.

Johnson Controls' Cortana-powered thermostat is up for pre-order in March


Last Summer, Microsoft and Johnson Controls teased a coming Windows 10- and Cortana-powered smart thermostat. On January 4, the pair officially announced the coming GLAS thermostat will be available for pre-order in March 2018. With a $100M investment fund and the opening up of cloud service APIs and an SDK, Alexa and the Echo could become the brains of your home automation and IoT network. The GLAS thermostat will be running Windows 10 IoT Core, as screens are a requirement for any kind of Cortana-powered device. The GLAS thermostat, which uses a Snapdragon 410E embedded platform, will have a translucent OLED touchscreen display for controlling temperature, monitoring indoor and outdoor air quality, and checking the weather.

Siemens Buys into Machine Learning Tools That Refine Chips


Siemens, to supplement its acquisition of Mentor Graphics, said that it had bought Solido Design Automation, whose software tools use machine learning to chisel rough edges off complex chip designs, optimizing power consumption and verifying that the chips are ready to be manufactured. The acquisition is another smoke signal signifying that Siemens wants to expand into software tools for chips and circuit boards used in everything from factory equipment to airplanes to self-driving cars. Last year, the industrial juggernaut paid $4.5 billion for Mentor Graphics, one of the three major plays in electronic design automation. Solido, like Mentor Graphics, will be folded into the product life cycle management software business of Siemens' digital factory division. The Plano, Texas-based group sells software to help manage the life cycle of products like electric vehicles and wind turbines, from design to production to service to disposal.



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Siemens' AI Work Delivers Competitive Advantage in IIoT


IoTI.com Content Director Brian Buntz wrote recently about the resources Siemens is throwing at software, and while that's significant, I'm more interested in Siemens' AI and machine learning work. For the past decade, Siemens' AI efforts have been focused on improving control of industrial processes using deep learning and reinforcement learning. An example of this technology is Siemens' "self-optimizing" gas turbines that leverage reinforcement learning. You can extend the classical control loop with a machine-learning loop using neural networks, making it dynamic and thus creating a new control policy.

Germany's Siemens to Set up Robotics Research Center in China

U.S. News

The Siemens research center at Beijing's Tsinghua University would focus on combined mechanics and electronics, human-robot collaboration and the application of artificial intelligence in robotic controllers, the German firm said.

Honeywell's connected thermostats now work with Google Home


Google welcomed Honeywell into the Home family as a partner back in January, but now it's finally including both of the company's connected thermostat families, the Lyric and Total Connected Comfort. Users can control them using either Home's voice controls or through Google Assistant on an Android device. That adds to the thermostats' existing integrations with connected platforms, including Amazon Alexa, Apple HomeKit, Samsung SmartThings and user-customized IFTTT functionality.

The age of intelligent machines is about to dawn


Whether it's for autonomous optimization of gas turbines, improved monitoring of smart grids or predictive maintenance of industrial facilities, artificial intelligence harbors great potential for Siemens -- and we are consistently making use of it. Artificial intelligence is one of the leading technology topics at our company. A neural network has connections between its nodes akin to the links between the neurons in the brains of living organisms. These links enable the network to learn how to interpret data and make decisions.