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IBM PowerAI Tools Aim to Ease Deep Learning Data Prep, Shorten Training
May 10, 2017
A new set of GPU-powered AI software announced by IBM today brings automation to many of the tedious, time consuming and complex aspects of AI project on-rampin Read more…
IBM Collaborates with UMB on Cognitive Computing Cybersecurity Lab
May 10, 2016
IBM today announced a multi-year, cognitive computing collaboration with the University of Maryland in Baltimore on an Accelerated Cognitive Cybersecurity Labor Read more…
IBM Plans Cognitive Computing Research Center with University of Illinois
April 15, 2016
In keeping with its vision of an era of cognitive computing enabled by acceleration technology, IBM Research (NYSE: IBM) today announced plans for a multi-year Read more…
Mapping Out a New Role for Cognitive Computing in Science
February 25, 2016
The avalanche of data being produced by experimental instruments and sensors isn’t just a big (data) problem – it’s perhaps the biggest bottleneck in scie Read more…
Brainy IBM Chip Packs One Million Neuron Punch
August 7, 2014
IBM researchers have developed a super-efficient chip inspired by the functioning of the human brain. Named TrueNorth, the chip features 5.4 billion transistors Read more…
IBM Reveals Cognitive Computing Chips
August 18, 2011
Researchers build circuitry based on workings of human brain. Read more…
Cognitive Computing: Building A Machine That Can Learn From Experience
December 22, 2008
University of Wisconsin-Madison research psychiatrist Giulio Tononi was recently selected to take part in the creation of a "cognitive computer." Read more…
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In this era, expansion in digital infrastructure capacity is inevitable. Parallel to this, climate change consciousness is also rising, making sustainability a mandatory part of the organization’s functioning. As computing workloads such as AI and HPC continue to surge, so does the energy consumption, posing environmental woes. IT departments within organizations have a crucial role in combating this challenge. They can significantly drive sustainable practices by influencing newer technologies and process adoption that aid in mitigating the effects of climate change.
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How Direct Liquid Cooling Improves Data Center Energy Efficiency
Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.
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