[Paper Summary] Stanford’s AI Researchers introduce QA-GNN Model that jointly reasons with Language Models and Knowledge Graphs

painter is Italy.

In this research paper, published at NAACL 2021, researchers found that combining both LMs and KGs makes it possible to answer questions more effectively. Existing systems that use LM and KGs tend to be noisy, and the interactions between QA context and KG are not modeled.

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VisiQuate, Inc. announces $50 million equity investment to advance AI-Powered digital innovation in Healthcare Revenue Cycle Data Management and Analytics


VisiQuate, Inc., the leading provider of advanced analytics and AI-powered automation offerings to America’s most respected healthcare providers, announced a new $50 million equity investment from Sixth Street Growth.

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New $35M AI Research Center at Indiana University created to grow AI Education

Luddy Center for Artificial Intelligence

The Luddy Center for Artificial Intelligence, which was unveiled June 23 and will open in August for the start of the fall semester, includes 58,000 square feet of space designed to enable multidisciplinary research in the constantly expanding AI field.

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“Above the Trend Line” – Your Industry Rumor Central for 7/13/2021

Above the trendline

In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, industry partnerships, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

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ZoomInfo drops $575M on Chorus.ai as AI shakes up the sales market

ZoomInfo - Chorus

ZoomInfo announced this morning it intends to acquire conversational sales intelligence tool Chorus.AI for $575 million. Shares of ZoomInfo are unchanged in pre-market trading following the news, per Yahoo Finance data.

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Solve your MLOps problems with an Open Source Data Science stack

Brick stack

Data scientists have challenges and need tools to overcome them. It’s best to use open-source, best-of-breed, modular solutions. It’s also a good idea to think about these challenges from a problem-solution perspective, as opposed to a “give me the awesomest tools” approach. I provide a list of common problems and OSS solutions for those problems, with comments on when they’re better/worse for that issue.

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Endgame raises $12.5M to flag sales opportunities


Endgame, a self-described customer observability platform, today announced it has raised $12.5 million in a funding round, with contributions from Naomi Ionita, Menlo Ventures, Kara Nortman, Upfront Ventures, Sandhya Hedge, and Unusual Ventures. CEO Alex Bilmes said the funds, which bring the company’s total raised to $17 million, will be used to grow the team and invest in R&D.

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The next frontier in Data-driven Investing

Data driven investing

Financial markets have entered a new paradigm. In a world of experimental monetary policy and uncertain macroeconomic perspective, active managers are experiencing increasing competition. Systematic funds simply relying on past outcomes often fails to keep-up with shifting markets while fundamental investor bear the risk of behavioral mistakes. They need to adapt to the changing marketplace.

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Adaptive AI Startup Latent AI Receives Booz Allen Hamilton Backing

Latent AI, an adaptive AI startup developing adaptive IT and machine learning, has entered a backing agreement with Booz Allen Hamilton, one of the biggest management and information technology consulting firms in the US.While the terms of the strategic investment were not disclosed, it builds on the startup’s deep AI capabilities supporting algorithmic warfare at the edge.
The award-winning suite of software tools created by Adaptive AI has proven to be especially valuable for the National Defense Strategy at a time when cyberwarfare is on the rise.

Steve Escaravage, Senior Vice President at Booz Allen, referred to the relevance of such AI capabilities by stating:
“The National Defense Strategy calls for a more innovative, resilient military to maintain the U.S. competitive advantage, and the ability to collect, analyze and quickly act on data is at the core of that national security mission. To fully leverage a force that is interconnected and information-advantaged, defense organizations need optimized, scalable AI, and data compression at the tactical edge. Booz Allen’s investment in Latent AI will help enable our clients to implement ML models on small form factor chip-sets and into highly sought-after end-user devices, which will increase AI adoption and return on investment.”
The ability to harvest the potential of Artificial Intelligence and Machine Learning models at the tactical edge has gained attention among defense organizations, proving to be essential components when it comes to mission success.
This is the result of how the technology enhances the way AI models are deployed to improve Internet of Things applications, making them easier to adopt by the average user.
Latent AI was founded back in 2018 and counts with funding from Future Ventures, Autotech Ventures, Perot Jain, among other investors. In 2020, the startup earned the “Startup of the Year” award by IoT world and was also recognized as one of the top 100 AI companies by CB Insight.
The adaptive AI startup will use the funding to continue the development of its technology as well as expand its partnerships, which currently include the Joint AI Center, Army Futures Command, and U.S. Air Force Air Combat Command, among others.

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Is artificial intelligence the most powerful thing that humans have ever created?

Artificial Intelligence

Artificial intelligence (AI) is shaping the future of nearly every human being on the planet. Artificial Narrow Intelligence (ANI) is now a reality, and researchers are now focusing on Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI) that is beyond human level.

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Understanding IBM Cloud Pak for Watson AIOps capability metrics for capacity sizing

Measuring tape

There are many different AIOps products to choose from with various capabilities to bring insights into the activities of IT environments. The goal for these products is to simplify the management and, more importantly, resolve issues when they occur or even recognize when an error is going to occur. As part of this, some products focus on applying AI to the information from the IT environment, while others focus on how to communicate the information and provide options to resolve issues.

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Vaayu secures $1.6M in pre-seed funding to develop their world-saving product


Vaayu, a real-time carbon footprint tracker for retailers, has raised $1.6 million in pre-seed funding. The company plans to use the investment, which was led by Amsterdam-based female-led VC CapitalT, to support their expansion and product development ahead of moving out of their closed beta phase later this year. Further, the funding was supported by a number of angel investors including Atomico’s Angel Program, Planet Positive LP, Saarbrücker 21, Expedite Ventures and NP-Hard Ventures. 
The fashion industry is, globally, responsible for around 10% of annual carbon emissions. Vaayu’s product empowers retailers to act to reduce their contribution by providing real-time feedback. Modern trends, in both fashion and retail, mean that e-commerce has been having an increasing impact on the environment. This has grown during the pandemic, after an initial dip, with a big increase in things like shipping and packaging. Ecommerce also has several features that are significantly less common in traditional retail, such as returns and multiple orders for sizing. Collectively these add significantly to a retailer’s environmental impact. 
First-ever carbon tracking software for retailers
Vaayu was born out of co-founder Namrata Sandhu’s experience in fashion and sustainability. Starting as a sustainability consultant, she spent many years working in the Arcadia Group before becoming head of sustainability at Zalando. She started Vaayu, along with co-founders Anita Daminov and Luca Schmid in December 2020 and rapidly progressed the idea to a closed beta with 25 European retailers, including global brands like Missoma and Organic Basics. 
The business is also notably female-led. Not only are two of the three co-founders women, but they have taken their time to ensure that the company retains its gender diversity. The backing by female-led CapitalT was important, since Sandhu felt it meant they understood Vaayu’s wider goals and ambitions. It now means that over 60% of the people around Vaayu’s top table are women. 

Calculating a retailer’s carbon footprint had, previously, been a laborious and expensive process. Sandhu had been responsible for these, although many other retailers resorted to hiring external consultants for an annual process. “Traditionally, we’d pull things in and be calculating everything on Excel spreadsheets,” Sandhu explained to us. “But e-commerce is a fast-moving space, your business footprint changes quickly, and the big markets you had last year may not be the biggest markets you have this year.” The consequence was that businesses would have a carbon accounting statement that was already out of date when it was produced. 
Vaayu changes the calculation, using live data to provide immediate feedback. By integrating with point-of-sale systems, like Shopify or WooCommerce, it can understand the current business volumes and, using known information on logistics and operations — right down to the packaging required — give a current indication of the retailer’s carbon footprint. Live information has significant benefits, retailers can immediately see the consequences of their actions, but can also see what impact purchasing trends are having and, if necessary, work to minimise their environmental impact. 
The product focuses on fashion retail. So, while there are competitors who work in the carbon audit field, Vaayu only works in the fashion retail industry. “It means you’re much more able to benchmark different from a data perspective,” Sandhu says. “It makes the process of optimisation much more specific because it’s all focused on a specific business model.” 
Expansion plans in EU and UK
Having had a successfully closed beta phase, Berlin-based Vaayu will be using their pre-seed funding to plan for the next phases of their expansion. Currently focussed on Europe and later the UK, they are expanding their team and preparing for their public launch before seeking additional funding. Vaayu have deliberately worked with customers from the outset, ensuring they can build a model that offers more than just a theoretical assessment of carbon footprint. Their beta phase has focused on ensuring the integration provides actionable data for their businesses. Sandhu stresses that working in partnership with businesses is integral to their product, “we didn’t just go away into a silo and build an app. We really pulled in customers from the start, and built it with them because we wanted to make sure it helped them.” 
Vaayu is working with Missoma which is one of the UK’s fastest-growing private companies, Marisa Hordern, CEO and Creative Director, Missoma says, “Partnering with Vaayu as part of our sustainability journey was paramount to our own internal mission. With extensive backgrounds in retail, they truly understand our needs while allowing us to digitalise our data in real-time and push the boundaries of what we could be, even further.”
The UN has set a goal of reducing carbon emissions by 50% by 2030, less than nine years away. Retailers are the third-largest contributor to global emissions, and Vaayu plans to play a big role in helping them reduce that. Their goal is to help retailers reduce their emissions by one gigaton — more than the combined annual emissions of France and Germany — meaning that for Vaayu success not just a growing business, but a better world for everyone. 
Janneke Niessen, founding partner, CapitalT commented: “We are very excited to join Vaayu on their mission to reduce carbon emission for retailers worldwide. The Vaayu product is very scalable and its quick and easy implementation allows for fast adoption. We are confident that with this experienced team, Vaayu will soon be one of the fastest-growing climate tech companies in Europe and the world.”

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Quantexa raises $153M to build out AI-based big data tools to track risk and run investigations


As financial crime has become significantly more sophisticated, so too have the tools that are used to combat it. Now, Quantexa — one of the more interesting startups that has been building AI-based solutions to help detect and stop money laundering, fraud, and other illicit activity — has raised a growth round of $153 million, both to continue expanding that business in financial services and to bring its tools into a wider context, so to speak: linking up the dots around all customer and other data.

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Garbage in, Garbage out: The problem of Data Labeling

Data labelling

In 2018, Amazon built a machine learning (ML) algorithm for hiring new candidates. However, because of substantial gender bias, it was scrapped soon. The fault did not lay in the algorithm but in the data that it was trained on. The ML algorithm was trained on Amazon’s previous hiring data. However, since the tech giant did not have a substantial ratio of men and women in jobs, the algorithm became biased towards men. Systematic bias was rationalised and reinforced through ML.

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Generative modeling: The overview

GANs have taken the world by storm. The incoming of models like DALL-E (generating images given any fantasy text), the concept of Deepfakes, or apps like FaceApp, etc literally forced me to jump into generative modeling & at least have a taste of it. To begin with, On the basis of the learning approach on how a model learns, we have 2 types of models, Discriminative & Generative

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