LG to Call Its Artificial Intelligence 'ThinQ'
LG today said it is creating a single brand to help identify devices that include artificial intelligence. That brand is called ThinQ. According to LG, ThinQ will apply to "all of its 2018 home appliances, consumer electronics and services" that use AI. These products will have higher analytical powers and the ability to communicate with one another. ThinQ can "recognize, deduce and learn from voice, video and sensors," says LG. LG first detailed its AI efforts in January 2017, and later committed to putting WiFi in most major appliances. The company didn't specify how or if its mobile devices will adopt ThinQ or play a role within its AI-assisted ecosystem. The company is expected to provide more details during the Consumer Electronics Show in January 2018.
LG Packs Google Assistant Into Its Smart ThinQ Speaker
LG today showed off a new smart speaker that will be available in early 2018. LG is calling the ThinQ Speaker its "first premium smart AI audio product" thanks to the addition of the Google Assistant.
LG's V30S ThinQ Adds Color, Memory, Storage, Camera Smarts
LG today updated its V30 smartphone with several new features and is now calling it the V30S ThinQ. The majority of specs of the phone are unchanged.
LG to Bring Improved Voice Assistant and Object Recognition to Its V30 Smartphone
LG today said it has new features on deck for the V30 handset that will add more artificial intelligence to the device. The company has spent more than a year researching AI and how best to implement it.
TCL Revamps Alcatel Handsets with 5 Series, 3 Series and 1 Series
TCL Communication today announced three new devices falling under the Alcatel brand. These phones are the first in a range of affordable devices that target different price points.
Facebook Relying On AI for Its Own Artistic Filters
Facebook today announced Caffe2go, an artificial intelligence client that it is adding to its mobile applications for Android and iOS. Caffe2go is able to condense computations by a factor of 100, allowing it to efficiently perform neural network and machine learning tasks on mobile devices.