Serverless platforms, an emerging business model in cloud computing has received funding for the first time, with Serverless and GalacticFog receiving funding in this year.
Tracxn Research - Smart Cars Landscape, January 2017Tracxn
With most self-driving car makers expected to rollout fully autonomous versions by 2021, funding into vision-based technologies (a crucial component of smart cars) has gathered steam.
Tracxn Research — Home Improvements Landscape, December 2016Tracxn
Companies using AR, VR, and 3D rendering technology for visualization of furniture saw almost a 3X spike in funding in 2016, from $12.6M in 2015, to $49.5M in 2016.
Tracxn Research - Smart Cars Landscape, January 2017Tracxn
With most self-driving car makers expected to rollout fully autonomous versions by 2021, funding into vision-based technologies (a crucial component of smart cars) has gathered steam.
Tracxn Research — Home Improvements Landscape, December 2016Tracxn
Companies using AR, VR, and 3D rendering technology for visualization of furniture saw almost a 3X spike in funding in 2016, from $12.6M in 2015, to $49.5M in 2016.
Tracxn Research — Ecommerce Enablers Landscape, November 2016Tracxn
The total M&A activity in the year to date was valued at more than $8.5B (excluding undisclosed acquisitions), while total investments were valued at $921M.
Tracxn Research — Business Intelligence Landscape, December 2016Tracxn
Despite a YoY decline in seed and early stage rounds and capital invested, 2016 was the fourth consecutive year in which the sector witnessed $1B+ plus investments.
Tracxn Research — Customer Service Software Landscape, November 2016Tracxn
The report encompasses companies which provide software and platform enabled customer services during and after the purchase of products or services for both B2C and B2B organizations.
Tracxn Research — Enterprise Collaboration Landscape, November 2016Tracxn
Investments in the year to date rose by 10% YoY, to $1.1B, as the enterprise collaboration space goes through a shift from a document centric to a conversational model.
Tracxn Research Ad Tech Landscape, October 2016Tracxn
Investments in the adtech industry are driven by mobile, digital video, cross-screen advertising and programmatic buying targeting specific sectors or audience groups.
Tracxn Research — Big Data Infrastructure Landscape, September 2016Tracxn
Following a rather muted 2015, the year 2016 witnessed an impressive bounce back by the big data sector, with a total funding of $1.1B secured in 37 rounds.
Tracxn Research — Business Intelligence Landscape, September 2016Tracxn
Tracxn's Business Intelligence 2016 report covers companies that develop and provide Business Intelligence (BI) & Analytics software. It also covers prominent industry specific BI solutions.
Tracxn Research — Investment Tech Landscape, October 2016Tracxn
A number of Asian companies are among top funded in the last one year - Guangzhou-based Zhiniu8 ($150M, Series C), Singapore-based M-DAQ ($95M, Series C), Beijing-based Jusfoun Big Data ($76M, Series C), and Shanghai-based Madai Licai ($65M, PE) accounted for the top investments in the last year.
Tracxn Research — Ecommerce Enablers Landscape, November 2016Tracxn
The total M&A activity in the year to date was valued at more than $8.5B (excluding undisclosed acquisitions), while total investments were valued at $921M.
Tracxn Research — Business Intelligence Landscape, December 2016Tracxn
Despite a YoY decline in seed and early stage rounds and capital invested, 2016 was the fourth consecutive year in which the sector witnessed $1B+ plus investments.
Tracxn Research — Customer Service Software Landscape, November 2016Tracxn
The report encompasses companies which provide software and platform enabled customer services during and after the purchase of products or services for both B2C and B2B organizations.
Tracxn Research — Enterprise Collaboration Landscape, November 2016Tracxn
Investments in the year to date rose by 10% YoY, to $1.1B, as the enterprise collaboration space goes through a shift from a document centric to a conversational model.
Tracxn Research Ad Tech Landscape, October 2016Tracxn
Investments in the adtech industry are driven by mobile, digital video, cross-screen advertising and programmatic buying targeting specific sectors or audience groups.
Tracxn Research — Big Data Infrastructure Landscape, September 2016Tracxn
Following a rather muted 2015, the year 2016 witnessed an impressive bounce back by the big data sector, with a total funding of $1.1B secured in 37 rounds.
Tracxn Research — Business Intelligence Landscape, September 2016Tracxn
Tracxn's Business Intelligence 2016 report covers companies that develop and provide Business Intelligence (BI) & Analytics software. It also covers prominent industry specific BI solutions.
Tracxn Research — Investment Tech Landscape, October 2016Tracxn
A number of Asian companies are among top funded in the last one year - Guangzhou-based Zhiniu8 ($150M, Series C), Singapore-based M-DAQ ($95M, Series C), Beijing-based Jusfoun Big Data ($76M, Series C), and Shanghai-based Madai Licai ($65M, PE) accounted for the top investments in the last year.
Tracxn FinTech SEA Startup Landscape, July 2016Tracxn
Our FinTech SouthEast Asia Report covers FinTech trends and investments in Singapore, Indonesia, Malaysia, Thailand, Philippines, and Vietnam, with exhaustive Q&A’s with the leadership team at East Ventures and Lenddo.
Tracxn Research — Immuno-Oncology Landscape, September 2016Tracxn
In 2015/16, five startups in this space — Stemcentrx, Gritstone Oncology, Hengrui Therapeutics, and Zai Lab secured big ticket funding rounds of $100 million and above.
Tracxn Research - 3D Printing Landscape, September 2016Tracxn
Healthcare, printer matching services, and marketplaces for 3D printed objects are some of the large business models emerging out of the 3D printing landscape, which has witnessed three of the largest years by funding from 2014 to 2016.
Tracxn Mobile Payments Startup Landscape, September 2016Tracxn
The mobile payments sector saw a 72% year-on-year rise in average investment ticket size at the Series B stage, an indicator that funding is not a problem for startups with sound and sustainable business models, irrespective of the global funding scenario.
Tracxn Research: Healthcare Analytics Startup Landscape, July 2016Tracxn
Government launches the first of what would become 3,000,000 acres of land confiscations from Māori in Waikato, Taranaki, Bay of Plenty, and Hawke's Bay.
Tracxn Research — Artificial Intelligence Startup Landscape, September 2016Tracxn
Notable investments in 2016 include antivirus and endpoint protection vendor Cylance ($100M Series D), Digital Reasoning ($40M, Series D), and Globality, ($27M, Series B).
BootstrapLabs - Tracxn Report - artificial intelligence for the Applied Arti...BootstrapLabs
This report covers companies that provide the infrastructure for creating Artificial Intelligence. These Infrastructure companies include those working on Machine Learning, Deep Learning based platforms, libraries. Some of theses companies also provide platforms for Natural Language Processing and Visual Recognition. In the Applications section, the report covers companies leveraging AI techniques to build applications tailored for end use in Enterprise, Industry & Consumer sectors.
Over $1B has been invested in AI-Infrastructure startups since 2010 with ¬$340M being invested in 2015. Over $7.5B has been invested in AI-Applications startups since 2010 with $2.3B being invested in 2015.
Tracxn Research — Enterprise Storage Landscape, November 2016Tracxn
Startups which offer backup storage solutions for enterprises emerged as the top funded business model of the year in the enterprise storage sector, accounting for 40% ($371M) of the total funding secured by the sector. The backup storage business model also witnessed a 70% YoY rise.
Tracxn Research: PaaS Landscape Report, August 2016Tracxn
aPaaS (application Platform as a Service), iPaaS (Integration platform as a Service), and mBaaS (mobile Backend as a Service) are the top three business models by funding.
Tracxn Research: Enterprise Collaboration Landscape, August 2016Tracxn
File synchronisation and sharing (Box, Dropbox), conferencing (BlueJeans Network, Fuze), and messaging and chat room (Slack, Symphony) are the top three business models, each having seen over a billion dollars in investments.
Tracxn Research - Finance and Accounting Landscape, August 2016Tracxn
$3.3B has been invested in the finance and accounting startup landscape in 2015/2016, which witnessed the highest funding activity in 2015 ($2.6B, 124 rounds).
Tracxn Research — IoT Infrastructure Landscape, December 2016Tracxn
Twenty acquisition deals reported in the sector. Cisco’s acquisition of Jasper Networks for $1.4B is one of the biggest buyouts in the sector till date.
Tracxn Research - Chatbots Landscape, February 2017Tracxn
Deal volume and total dollars invested in the chatbots landscape rose by 108% and 129% respectively in 2016, with 192 chatbot startups setting up shop in 2016.
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Tracxn's proprietary #taxonomy brings to you top #BusinessModels in Top Business Models in Sustainability Tech Report https://tracxn.com/fm/dl/Gymr7Akd3ybI
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Tracxn - Southeast Asia Tech Monthly Funding ReportTracxn
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Tracxn - Top Business Models in Sustainability Tech - 26 Oct 2023Tracxn
Tracxn's proprietary #taxonomy brings to you top #BusinessModels in Top Business Models in Sustainability Tech Report https://tracxn.com/fm/dl/MnFvJ6UKhc9y
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Tracxn - United States Tech Monthly Funding ReportTracxn
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Tracxn - Top Business Models in High Tech - 27 Oct 2023Tracxn
Today's top #BusinessModel report is on Top Business Models in High Tech Report https://tracxn.com/platform/file-manager/file/ZmlsZUlkPUx5U0Qya01PRm9QbHJCTUM0UG9QVFJUeWJselF0RHJzSGU0dFlWMG5uWEk%3D
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Tracxn - Top Business Models in Vietnam Tech - 20 Oct 2023Tracxn
Here's a detailed analysis of top #BusinessModels in https://tracxn.com/platform/file-manager/file/ZmlsZUlkPVBXM1h4Sk53ZEJ6YTh0LWZMQkFtZ2kzaGk0X2JIV1gyVXduQjFMUVBXVnM%3D
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Tracxn - Top Business Models in Singapore Tech - 19 Oct 2023Tracxn
We are back with our latest report on top #BusinessModels in based on #Tracxn's #proprietary #taxonomy https://tracxn.com/platform/file-manager/file/ZmlsZUlkPVM4dk1Sa0E0SnBLWlVvQ2pOZ3pSbVhNYzFQYWhOdW1xay1oMkZ5a05sZms%3D
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Tracxn - Top Business Models in New Zealand Tech - 19 Oct 2023Tracxn
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Tracxn - Top Business Models in United Kingdom Tech - 18 Oct 2023Tracxn
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Tracxn -Top Business Models in Transportation and Logistics Tech - 17 Oct 2023Tracxn
Tracxn's proprietary #taxonomy brings to you top #BusinessModels in Top Business Models in Transportation and Logistics Tech Report https://tracxn.com/platform/file-manager/file/ZmlsZUlkPVBPc1FQMG5DTmM2TnZwUDY4MXJmOXhFYmNZVHFJQW9jS3pURURaQ1F2MWc%3D
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Tracxn - United Kingdom Tech Monthly Funding ReportTracxn
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Tracxn - Top Business Models in Sustainability Tech - 26 Oct 2023Tracxn
Today's top #BusinessModel report is on Top Business Models in Sustainability Tech Report https://tracxn.com/platform/file-manager/file/ZmlsZUlkPXJkUTJQSW56TEZpVU9BamlmWlpzY2dyMFVSNjJrU2NLcndfM3ZGUWZSRDg%3D
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Tracxn - United States Tech Monthly Funding ReportTracxn
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Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas