News
N.A. Semiconductor Equipment Posted $2.29 Billion in Billings in June
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Published: Jul 26,2017
Flexible AMOLED Display Manufacturing Capacity to Grow 91% CAGR Between 2016 and 2020
In the current, unprecedented phase of active matrix organic light emitting diode (AMOLED) panel factory build-out, flexible AMOLED capacity will expand from 1.5 million square meters to 20.1 million square meters between 2016 and 2020, at a compound annual growth rate of 91 percent, according to IHS Markit...
Avalue Presenting Latest Products for Smart Retail Solution at RetailNOW 2017
Avalue Technology will be joining RetailNOW 2017 at Las Vegas, NV, on August 6 to 9, 2017. In this event, Avalue will showcase latest products for smart retail solution. Avalue will present omnichannel retail solutions include modules such as Facial recognition, Digital Menu Boards, Instant Inventory-Checking, POS transaction and Business Intelligence...
Value of Semiconductor Industry M&A Deals Slows Dramatically in 1H17, says IC Insights
The historic flood of merger and acquisition agreements that swept through the semiconductor industry in the past two years slowed to a trickle in the first half of 2017, with the combined value of about a dozen transactions announced in 1H17 reaching just $1...
Average Size of TV Panels Grew to 44.7” in H2 2017, TrendForce Reports
The latest research by WitsView, a division of TrendForce, finds the global shipments of LCD TV panels totaled 123.35 million units for the first half of 2017, amounting to a tiny dip of 0.1% compared with the same period a year ago...
Tecno Enjoying Steady Growth in the African Smartphone Market, MIC Says
Though not listed in the world’s top 10 smartphone brands, Tecno has made outstanding achievements, securing the second place in the African smartphone market in 2016, according to Taipei-based research institute MIC (Market Intelligence & Consulting Institute)...
IBM and University of Alberta Publish New Data on Machine Learning Algorithms to Help Predict Schizo
IBM scientists and the University of Alberta in Edmonton, Canada, have published new data in Nature's partner journal, Schizophrenia1, demonstrating that AI and machine learning algorithms helped predict instances of schizophrenia with 74% accuracy...