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Source – phys.org Machine learning algorithms that can predict yeast metabolism from its protein content have been developed by scientists at the Francis Crick Institute. The findings could provide a basis for brewers to have greater control over the flavour of their beer, and scientists to personalise treatments for metabolic disorder patients, in the future. Metabolism Read More
Source – yourstory.com Doomsday theorists say Artificial Intelligence and the machines that use it will destroy mankind. While that may be a stretch, there is some merit in the argument that AI will surely challenge human thinking and behaviour – to what outcome, that remains to be seen. Take the example of a ride-hailing app – Uber, Ola Read More
Source – informationweek.com If you want build trust in machine learning, try treating it like a human, asking it the same type of questions. During the 2008 financial crisis, the banking industry realized that their machine learning algorithms were based on flawed assumptions. So financial system regulators decided that additional controls were needed, and regulatory Read More
Source – datacenterdynamics.com IT service security has many layers. The IT security layer; firewalls, intrusion detection and access controls. The infrastructure layer; power, network, server health and cooling. And, most important, the people layer. The right people with the right processes, tools and measures to ensure everything else is in working order. Artificial intelligence (AI) will Read More
Source – diginomica.com Deep learning, the branch of AI that uses artificial neural networks to build prediction and pattern matching models from large datasets relevant to a particular application, is having a sizable impact on both consumer and enterprise software. Whether for enabling home appliances to understand and respond to vocal commands or identifying hidden patterns endemic Read More
Source – cuinsight.com The cost of fraud is rising. According to CNBC.com, fraud and identify theft cost consumers more than $16 billion in 2016 – nearly $1 billion more than in 2015. LexisNexis research cited on chargebacks911.com finds that for each dollar lost to fraud, “online merchants can ultimately expect to lose $2.40 in revenue due to the associated Read More
Source – venturebeat.com Deep learning is a new method of artificial intelligence that is an active, fast-moving area of research where we can expect advances to become market-ready over the next several years. Unfortunately, market hype has turned deep learning into a buzzword that can contribute to the misconception that other approaches to AI are not relevant. Read More
