Architecture as a Graph

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The Bayesian approach used in this article demonstrates the relevance of stochasticity for the design process. On one hand, statistical inference allows us to model and replicate complicated phenomena and here, complexity found among floorplans. On the other hand, it allows us to generate a wide variety of options, that will inspire the creative process. At the same time, we provide evidence for the importance of unpacking design into nested steps and levels of abstraction. We have addressed here the underlying structure of floorplans by tackling their adjacency.


Win Earnings Season with an Alert-Driven, AI-Powered Workflow

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We all know that earnings season is the busiest time of the year, yet how much thought have you given to the impact advanced tools can have on managing information overload and improving your workflow? Whether you are an investment analyst, investor relations officer, or other financial and corporate research professional, automating your earnings season research process with an alert-driven, AI-powered workflow can save you a significant amount of time and ensure no material insights are missed. We've put together a series of short videos to show you how Sentieo can be used to: In this first video, we discuss why you need watchlists for your alerts. While you can configure individual alerts by company, having a watchlist lets you do several things on the Sentieo platform. One is set up the same alerts for the whole list at once.


Cisco IoT Platform Gains Machine Learning - SDxCentral

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Cisco today introduced machine learning capabilities and tighter integration between service providers and vendors in its IoT management platform. Cisco IoT Control Center now includes machine learning models to identify anomalies and resolve problems before they impact IoT services. The feature also enables service providers to alert customers of errant or otherwise unused devices, and therefore implement greater control over connected devices. Cisco's IoT platform is largely the result of its $1.4 billion acquisition of Jasper in 2016, but the effort has grown considerably during the last four years. Cisco has partnerships and IoT management reselling agreements with 52 network operators and claims to be the No. 1 IoT management platform provider for connected cars.


Artificial Intelligence in Emergency Medicine: Surmountable Barriers With Revolutionary Potential

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Artificial intelligence just might be the next major technologic breakthrough to affect health care delivery, with seemingly endless possibilities for the improvement of patient care and optimization of the health care system overall.1 Simply defined, artificial intelligence is a field of computer science focused on enabling computers to complete tasks or generate knowledge that, in the traditional sense, would typically require human intelligence. Within the topic of artificial intelligence, there are the fields of machine learning and deep learning.


How Machine Learning and AI Will Impact Engineering

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No matter whether you have adopted machine learning technologies and in the grander picture, artificial intelligence, most engineers recognize that a change is coming. It would seem a natural fit to incorporate artificial intelligence into CAD, into our workflows, into our engineering. This not only facilitates our forward growth as engineers, but it gives us the ability to design with complexities never before possible. Remaining at the top of our engineering game is no easy task when the game is constantly innovating with new technologies. To remain relevant as engineers, we must understand – even predict – how machine learning and AI will change the game and adapt before we are left in the dust. AI is the next platform.


Self-driving car companies complain California test data may mislead - Reuters

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Companies such as General Motors Co's (GM.N) Cruise and startup Aurora have said the metric, called disengagements, is not an accurate or relevant way to measure their technical progress, even though it is widely used to do just that. The debate is taking on more importance amid delays in the rollout of self-driving vehicles and concerns over a lack of regulation and the prospects for profitability for the companies that make such vehicles. The focus on disengagements -- when a human driver must take manual control from a self-driving system -- and the backlash from self-driving companies have been growing since the California Department of Motor Vehicles began releasing annual disengagement reports five years ago. California requires all companies testing self-driving vehicles on public roads to submit an annual report on disengagements and what caused them, "written in plain language." In 2018, the companies with the most miles between disengagements were Alphabet Inc's (GOOGL.O) Waymo and Cruise.


The Future of Minds and Machines: How artificial intelligence can enhance collective intelligence

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When it comes to artificial intelligence (AI), the dominant media narratives often end up taking one of two opposing stances: AI is the saviour or the villain. Whether it is presented as the technology responsible for killer robots and mass job displacement or the one curing all disease and halting the climate crisis, it seems clear that AI will be a defining feature of our future society. However, these visions leave little room for nuance and informed public debate. They also help propel the typical trajectory followed by emerging technologies; with inevitable regularity we observe the ascent of new technologies to the peak of inflated expectations they will not be able to fulfil, before dooming them to a period languishing in the trough of disillusionment.[1] There is an alternative vision for the future of AI development.


A Sales Leader's Story Worth Reading SalesChoice

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SalesChoice Inc., an award winning AI SaaS Sales Platform is expanding its USA market coverage as it enters its Scale Up Plans in the Guided Selling and Responsible AI Market place. This is the amazing story of what made a veteran Silicon Valley sales leader join SalesChoice. The global artificial intelligence software market is expected to experience massive growth in the coming years, with revenues increasing from around 9.5 billion U.S. dollars in 2018 to an expected 118.6 billion by 2025, according to the market research firm Tractica. "We wanted to ensure we recruit only talent that can see beyond where we are today in Sales Enablement and can help guide our customers to a more productive top line revenue growth realization. The reality is B2B Sales Productivity is rapidly declining and CRM systems, have in many cases been empty and unproductive vessels of incomplete or inaccurate data. Our software is uncannily simple where every move you make on opportunities or accounts, determines your odds, like in chess. AI gives Sales professionals an edge that we have never had before, by blending Science and Relationships into a stronger formula that no longer focusses only a segment of sales but on the entire journey. We wanted to go beyond just forecasting or predictions to enable sales teams end-to-end. Accordingly, we had to ensure that we recruited strong sales talent that were passionate about the changes with AI Enablement, and also have been in the trenches in both mid and large enterprises with robust CRM operational experiences and valued fact based leadership, something I deeply learned from my Xerox Leadership experience. We found these leadership skills in Steve Levy who recently joined our Sales and Marketing Leadership Team to advance our USA market coverage in the Silicon Valley," says Dr. Cindy Gordon, CEO and Founder, SalesChoice Inc. Steve Levy, Strategic Advisor and Silicon Valley Scale Up Leader, shares his story: The journey to SalesChoice for me started three decades ago in Redwood City, California.


Keeping Cows Happy and Soil Healthy With AI and Open Source Data Management

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To map every gene in the human body, scientists around the world collaborated for more than a decade, from 1990 to 2003. Thanks to their work, entire vistas of medicine have opened up, from new diagnoses to drug regimens tailored to an individual's genetic makeup. What if, posits Dorn Cox, a produce farmer in New Hampshire, the same could be done for the world's soil? With detailed knowledge of the nutrients in their soil, farmers could better tend their dirt and significantly reduce negative environmental impacts. For example, they could better learn what to plant and when, or how to maximize soil nutrients and track carbon content (more carbon in the soil means less carbon in the atmosphere).


Your Tesla could explain why it crashed. But good luck getting its Autopilot data

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On Jan. 21, 2019, Michael Casuga drove his new Tesla Model 3 southbound on Santiago Canyon Road, a two-lane highway that twists through hilly woodlands east of Santa Ana. He wasn't alone, in one sense: Tesla's semiautonomous driver-assist system, known as Autopilot -- which can steer, brake and change lanes -- was activated. Suddenly and without warning, Casuga claims in a Superior Court of California lawsuit, Autopilot yanked the car left. The Tesla crossed a double yellow line, and without braking, drove through the oncoming lane and crashed into a ditch, all before Casuga was able to retake control. Tesla confirmed Autopilot was engaged, according to the suit, but said the driver was to blame, not the technology.