Every great technology wave has a paradigm, a very broad and deep movement that is only barely perceptible in its infancy. This paradigm typically blossoms into many forms over years, even decades, to come.
Paper: it’s not a very efficient way to store data, it’s not good for the environment, and it’s not cheap. It can rip, decay, get misplaced, and just a few rogue coffee drops can obscure its contents forever. It’s also expensive. According to Aragon Research, paper-based processes remain one of the largest cost centers in the enterprise, eating into 1-2% of overall revenues.
In the last decades, artificial intelligence has shown to be very good at achieving exceptional goals in several fields. Chess is one of them: in 1996, for the first time, the computer Deep Blue beat a human player, chess champion Garry Kasparov. A new piece of research shows now that the brain strategy for storing memories may lead to imperfect memories, but in turn, allows it to store more memories, and with less hassle than AI.
Cybersecurity – A plethora of newspaper and digital articles and blogs continue to underscore one key aspect of cybersecurity: Criminals are invading our home IoT devices and spying on us, demanding ransom and destroying our privacy.
Across government, IT managers are looking to harness the power of artificial intelligence and machine learning techniques (AI/ML) to extract and analyze data to support mission delivery and better serve citizens.
Slowing down climate change is an urgent matter. If we fail, our world will face a more extensive crisis than we experienced because of the global COVID-19 pandemic. When artificial intelligence (AI) technology helps solve a problem, problem-solving can be done quicker, and the solution is often one that would have taken longer for humans to discover. Could artificial intelligence power climate change strategy? Yes, and it’s already doing so.
With the ongoing pandemic-induced confinement orders in place and the recent launch of new gaming consoles from both Sony and Microsoft, this holiday season is expected to be the biggest yet for the video game industry, and the momentum should carry well into 2021. Add in a host of cloud-based gaming services from giants, including Google, Amazon and Microsoft, and we’re set up for one of the most eventful calendar years gaming has ever seen.
Artificial intelligence (AI) has been around since the 1950s, but only in the last six years — with the advent of open-source, low-cost cloud compute and storage — has it become useful in solving real-world problems. In that short time, we’ve seen AI find new solutions in enterprise networking, automotive, medical and other industries. This has resulted in artificial intelligence for IT operations (AIOps) moving from marketing hype to a useful tool being adopted across the enterprise.
This year, with many enterprise AI initiatives and distributed networking capabilities promising more resiliency, the fourth generation of network infrastructure integrates SD-WAN with AIOps. With Juniper Network’s acquisition of 128 Technology, companies see the future beyond SD-WAN to AI-Driven WANs. As AI-enabled technology generates mountains of Big Data, lowering the cost of infrastructure maintenance and network overhead is a must.
Using machine learning, researchers have identified novel, distinct patterns of coordinated activity between different parts of the brain in people with major depressive disorder — even when different protocols are used to detect these brain networks.
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