Cognitive Architectures

CPAs cite AI, machine learning, and cognitive computing as top hard tech trends Sage Advice US


Artificial intelligence, machine learning, and cognitive computing in audit and tax are the top trends that will impact the accounting and finance world over the next three years, according to research conducted by the Maryland Association of CPAs, the Business Learning Institute, and world-renowned futurist Daniel Burrus. The research began with Burrus' "Top 20 Technology-Driven Hard Trends Shaping 2018 and Beyond." Using Burrus' annual list as a starting point, MACPA Executive Director Tom Hood asked more than 1,000 CPAs and finance and accounting professionals which of those trends will have the greatest impact on the profession over the next three years. "These trends highlight enormous, game-changing opportunities in a broad array of applications and industries," Burrus has said. "As you read through them, look for opportunities for you to leverage them and become a positive disruptor."

What are the challenges, real-life use cases and advantages of Cognitive Computing? - Maruti Techlabs


Cognitive computing has taken the tech industry by storm and has become the new buzzword among entrepreneurs and tech enthusiasts. Based on the basic premise of stimulating the human thought process, the applications and advantages of cognitive computing are a step beyond the conventional AI systems. According to David Kenny, General Manager, IBM Watson – the most advanced cognitive computing framework, "AI can only be as smart as the people teaching it." The same is not true for the latest cognitive revolution. Cognitive computing process uses a blend of artificial intelligence, neural networks, machine learning, natural language processing, sentiment analysis and contextual awareness to solve day-to-day problems just like humans.

Taming Big Data with Cognitive Computing AI - Global IQX


In the complex, diverse insurance industry, it can be hard to reconcile theory and practice. Adapting to new processes, systems, and strategies is always challenging. However, with the arrival of new opportunities driven insurtech, cultural transformation will go smoother. Insurance companies that are considering how to plug into the insurtech landscape should understand the various models within the innovation ecosystem. Carriers have to weigh their options carefully before choosing between incubators and accelerators, or venture capital and partnerships, when creating their best internal and external teams.

How To Boost An Organization's Competitive Advantage By Using Cognitive Computing


Between AI-powered chatbots and gadget-based voice assistants, cognitive computing capabilities have captured the public imagination. But consumer products are just the tip of the iceberg. Under the surface, cognitive computing adoption in the business world is growing rapidly. In fact, IDC predicts that global spending on cognitive systems will grow to more than $31 billion by 2019. And within the next two years alone, half of all consumers are expected to interact with cognitive technology on a regular basis, even if they don't realize it.

Protein has unique effects on information processing

MIT News

Our cognitive abilities come down to how well the connections, or synapses, between our brain cells transmit signals. Now new study by researchers at MIT's Picower Institute for Learning and Memory has dug deeply into the molecular mechanisms that enable synaptic transmission to show the distinct role of a protein that, when mutated, has been linked to causing intellectual disability. The key protein, called SAP102, is one of four members of a family of proteins, called PSD-MAGUKs, that regulate the transport and placement of key receptors called AMPARs on the receiving end of a synapse. But how each member of the family works -- for instance, as the brain progresses through development to maturity -- is not well understood. The new study, published in the Journal of Neurophysiology, shows that SAP102 and other family members like PSD-95, work in different ways, a feature whose evolution may have contributed to the greater cognitive capacity of mammals and other vertebrates.

Going Agile in a MachineFirst World via Business 4.0 & Cognitive Computing


My colleagues and I had the privilege of attending Tata Consultancy Services' (TCS) Analyst Day event held in Boston on September 7, 2018. There were several interesting and informative presentations covering the concepts of Business 4.0 and MachineFirst Philosophy and how TCS is leveraging its unparalleled domain expertise and its deep and vast portfolio of services and solutions to provide its customers with exponential value to create abundance through mass customization, leveraging ecosystems to help its customers embrace and manage risk while maximizing business outcomes using technologies and concepts such as Cloud, Intelligence, Automated and Agile. As one of the ARC Analysts focused on upstream and midstream oil & gas it was great to learn more about how TCS is leveraging'cognitive automation' through its solutions such as Ignio, an product that provides some very powerful horsepower through its self-learning capability, empowered by machine learning and artificial intelligence (AI), that can move customers from predictive maintenance to prescriptive maintenance, thereby extending the life (and availability) of an asset such as a pump or compressor and also optimizing that asset's performance and the process for which it is being utilized. MachineFirst Philosophy creates exponential value by empowering enterprise agility through reimagination and reinvention of a company's DNA. Harrick Vin, Vice President & Global Head of Ignio, explained that he envisions cognitive computing platforms such as Ignio, the Intelligent Machine", as being technology that is being augmented by people and one that is capable of learning over time.

US kids spend too much time in front of a screen and too little asleep, study finds

The Guardian

Only one in 20 kids in the United States meets guidelines on sleep, exercise and screen time, and nearly a third are outside recommendations for all three, a new study has found. On average, children aged eight to 11 spent 3.6 hours a day glued to a TV, mobile phone, tablet or computer screen, nearly double the suggested limit of two hours, researchers found. Too little sleep and excess screen time were clearly linked to a drop-off in cognitive skills, such as language ability, memory, and task completion, they reported in the Lancet Child & Adolescent Health. "We found that more than two hours of recreational screen time in children was associated with poorer cognitive development," said lead author Jeremy Walsh, a researcher at the Children's Hospital of Eastern Ontario Research Institute. "Based on our findings, paediatricians, parents, educators and policymakers should promote limiting recreation screen time and prioritising healthy sleep routines during childhood and adolescence."

The Cognitive Science Age: – Good Audience


The history of science and technology is often delineated by paradigm shifts. A paradigm shift is a fundamental change in how we view the world and our relationship to it. The big paradigm shifts are sometimes even referred to as an "age" or a "revolution". The Space Age is a perfect example. The middle of the 20th Century saw not only an incredible increase in public awareness of space and space travel, but many of the industrial and technical advances that we now take for granted were byproducts of the Space Age.

How Cognitive Computing and AI Drives Disruptive Innovation Analytics Insight


An enterprise's response to existing or emerging products depends upon its approach towards the two terms of machine thinking – artificial intelligence (AI) and cognitive computing. Is your enterprise an early adopter when it comes to leveraging technology to automate enterprise processes, configure chatbots, embed sensors or improve customer experience by drawing insights? Does your company stay on a constant lookout for fresh data sources coming via ever-increasing interactions or does it prefer to observe these changes from the sidelines, not sure of whether to adopt them or not? Three years ago, the C-suite was engaged in a fierce battle to bring disruptive technologies and innovations to the market. But today on an average, the C-suite is less inclined to view competition from outside the industry as a threat and is focusing extensively on searching for innovation externally among partners.

Cool Companies in Cognitive Computing for 2018


Tamr – Founded in 2013 by Vertica's founding CEO Andy Palmer and Turing Award winner and MIT professor Michael Stonebraker, Tamr provides a patented software platform for enterprise-scale data unification that combines ML with human expertise--fusing the power of ML with the experts' knowledge of their own data to automate the rapid unification of data silos at scale.