If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
ART-AI CDT studentships are available on a competition basis for UK and EU students for up to 4 years. Funding will cover UK/EU tuition fees as well as providing maintenance at the UKRI doctoral stipend rate (£15,009 per annum in 2019/20, increased annually in line with the GDP deflator) and a training support fee of £1,000 per annum. FTE Category A staff submitted: 24.00
Embedded methods complete the feature selection process within the construction of the machine learning algorithm itself. In other words, they perform feature selection during the model training, which is why we call them embedded methods. A learning algorithm takes advantage of its own variable selection process and performs feature selection and classification/regression at the same time. The embedded method solves both issues we encountered with the filter and wrapper methods by combining their advantages. In this article, we'll explore a few specific methods that use embedded feature selection: regularization and tree-based methods.
As we move towards a future where we lean on cybersecurity much more in our daily lives, it's important to be aware of the differences in the types of AI being used for network security. Over the last decade, Machine Learning has made huge progress in technology with Supervised and Reinforcement learning, in everything from photo recognition to self-driving cars. However, Supervised Learning is limited in its network security abilities like finding threats because it only looks for specifics that it has seen or labeled before, whereas Unsupervised Learning is constantly searching the network to find anomalies. Machine Learning comes in a few forms: Supervised, Reinforcement, Unsupervised and Semi-Supervised (also known as Active Learning). Supervised Learning relies on a process of labeling in order to "understand" information.
The News: Last week, Apple's acquisition of Xnor.ai was reported, no doubt aiming to deliver TinyML to edge devices. Xnor.ai, a Seattle startup specializing in low-power, edge-based artificial intelligence (AI) tools. Spun off from the Allen Institute for Artificial Intelligence, the three-year-old startup's technology embeds AI on the edge, enabling facial recognition, natural language processing, augmented reality, and other ML-driven capabilities to be executed on low-power devices rather than relying on the cloud. Analyst Take: Developers of AI applications for edge deployment are doing their work in a growing range of frameworks and deploying their models to myriad hardware, software, and cloud environments. This complicates the task of making sure that each new AI model is optimized for fast inferencing on its target platform, a burden that has traditionally required manual tuning.
Hi First Name, Another week in what seems like a never-ending January, but we are finishing it with a bang! As you know our annual RPA recruitment market report is being launched this Thursday. We have a teaser below, but to see all of it and have first access, you will need to come down for a drink and some networking on Thursday. In AI news, the Met police have announced the plans to deploy facial recognition cameras in London, while the EU are considering banning the use of facial recognition in public spaces for five years (seems like Brexit has come at just the right time for the Met!) Our recent blog in conjunction with Kingsbridge is highlighting the importance of insurance for contractors in regards to IR35, this is something you need all of your contract resource to have without question. If you have any concerns about the state of IR35 moving forward or your current contract resource, please don't hesitate to reach out.
The global movie industry generated over $43 billion in revenue in 2018, of which the United States' contribution alone topped more than $11 billion. Yet, these seemingly impressive headline figures can obscure the fact that year-on-year growth has been a sluggish 2 per cent over the last several years, with market researchers forecasting further stagnation. Given the inherent financial risk involved in film making, some now believe artificial intelligence, rather than human expertise, is best placed to select which films are most likely to provide suitable returns on investment. In early January 2020, Warner Bros signed a deal with Cinelytic, a Los Angeles-based artificial intelligence company which, according to the press release, aims to help content creators make faster, better-informed decisions through predictive analytics. Belgium's ScriptBook provides a similar service, touted as "artificially intelligent script analysis and box office forecasting".
At a recent communications conference in Gurgaon, I was impressed by one of the presentations on Artificial Intelligence and its disruptive ability to take away jobs (worst case scenarios) or act as a force multiplier. However, if one looks around AI is already in our lives and possibly in our pockets. I would say that we are using AI much before it became a fashionable terminology. Perhaps am a bit of a geek, but below are some of interesting intelligence we are using and have made them a habit. Alerts: We all are subscribed to Google Alerts.
Improving operating room capacity management through data analytics and machine learning will be the breakfast keynote topic of discussion at the upcoming 2020 OR Business Management Conference. Ashley Walsh, senior director of client services at LeanTaaS, Inc., a Silicon Valley software innovator that increases patient access and transforms operational performance for healthcare providers, and Melissa Pressley, management engineer at Duke University Health System (DUHS), will address the audience on Thursday, Jan. 30, at 7:30 a.m. in the Global Ballroom of the Bonaventure Resort & Spa in Weston, Florida. "Improving OR utilization and improving surgeon access to OR time significantly enhances the financial results for hospitals and health systems, increases patient access, and facilitates surgeon recruitment and retention" "DUHS has leveraged EHR data to improve OR access with mobile and web technologies and increase accountability with surgeon-centric metrics and reporting to help our surgeons better understand the "why" behind OR metrics," said Pressley. "I'm looking forward to sharing how DUHS and LeanTaaS have enhanced the patient experience while balancing surgeon needs, among other improvements." DUHS is among several leading health systems in the U.S. that have deployed the LeanTaaS iQueue for Operating Rooms solution to effect data-driven changes to their approach to capacity management.
In the initial days of cloud computing, companies used cloud as a substitute for their colocation facilities and/or data centers. There were certain incremental benefits to this approach. One benefit was moving capital expenditure away from an equipment model to an operational model. Another was arriving at a service model where the cloud providers themselves take care of software updates, which was especially true with companies like Microsoft and Oracle. If you were using Microsoft software, for example, you wouldn't need to worry about the periodic operating system updates in managed instances of Windows server virtual machines.
Seasoned software executive brings full suite of global retail and technology leadership experience to drive Symphony RetailAI's focus on worldwide customer success, AI-powered innovation and growth Symphony RetailAI, a leading global provider of AI-powered platforms and customer-centric solutions for customer-centric merchandising, marketing and supply chain solutions that deliver profitable growth for retailers and CPG manufacturers, announced the appointment of Chris Koziol as CEO and a member of the company's board of directors. Dr. Pallab Chatterjee, who previously served as CEO, has retired after a long career in technology, including several years at Symphony Technology Group. Koziol has an extensive background in retail and enterprise software and brings with him over 35 years of executive experience and success in the software technology sector, including 20 years in CEO, president and chief operating officer positions for mid-size and billion-dollar businesses. He most recently served as president and CEO of Aspect Software where he helped reposition the company as a $330M cloud-based software company. Prior to that, Koziol was COO of JDA Software and was instrumental in JDA's rapid growth during his tenure, presiding over its expansion into supply chain optimization and planning solutions through a combination of acquisitions and organic growth.