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 - 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 - 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.
Tracxn Research - Industrial Robotics Landscape, February 2017Tracxn
A number of investments in 2016 were made by CVCs such as GE Ventures, Caterpillar, Medtronic, and Mitsubishi UFJ Capital, who envision robotic technology to be implemented in their area of expertise.
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 - 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.
Tracxn Research - Industrial Robotics Landscape, February 2017Tracxn
A number of investments in 2016 were made by CVCs such as GE Ventures, Caterpillar, Medtronic, and Mitsubishi UFJ Capital, who envision robotic technology to be implemented in their area of expertise.
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: 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 - 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 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 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 — 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).
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 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.
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 — 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: Enterprise Security Landscape, August 2016Tracxn
Network security, endpoint security, and BYOD security are the top three funded business models in the enterprise security sector, in which 10 business models have attracted $1B+ investments.
We apply AI to real life. We chose transportation safety as one of important problems to be solved. Clear vision for rain, snowfall and fog help eliminate accidents due to the inability of the human driver to classify information in real road conditions. It is self-learning algorithm which acts like the AlphaGo Zero game system, but implemented for real life conditions.
We apply AI to real life. We chose transportation safety as one of important problems to be solved. Clear vision for rain, snowfall and fog help eliminate accidents due to the inability of the human driver to classify information in real road conditions. It is self-learning algorithm which acts like an AlphaGo Zero game system, but implemented for real life conditions.
Car chain final Presentation - Paytm Build for IndiaViresh Dhawan
This was the PPT presented by the Car-Chain Team for Paytm's Build for India Open Source Initiative, this Presentation was shown to Deepak Abbot(VP Products) to showcase the development of our product which was a Blockchain based Application made with Hyperledger under the guidance of Saurabh Jain(VP Business at Paytm) and Venu Madhav(CEO at Direct Cars). The following members were involved in the development of the project:
1. Prakash Pandey
2. Abhishek Biswas
3. Naveedh Ahamed
4. Brijesh Singh
5. Piyush Jain
6. Nikhil Chaudhari
7. Rahul Malhotra
8. Ramana Rao
9. Sanjay Gupta
10. Viresh Dhawan
A report providing an overview of the Transportation Technology startup landscape. Includes a sector overview, graphical trends with insights, and recent funding/exit events. Contact info@venturescanner.com or visit www.venturescanner.com to learn more!
Introductory deck describing Parkofon's unique infrastructure-free technology and value proposition across multiple modes as a provider of Mobility-as-a-Service (MaaS)
United States (US) has witnessed new wave of automotive technology startups. Here are 7 auto tech companies with innovations in LiDAR, Speech recognition software, ADAS, Self-driving car .
The Autonomous Revolution of Vehicles & Transportation 6/12/19Mark Goldstein
I delivered an updated and expanded version of "The Autonomous Revolution of Vehicles and Transportation" to the IEEE Computer Society Phoenix (http://ewh.ieee.org/r6/phoenix/compsociety/) on 6/12/19 at DeVry University in Phoenix, Arizona.
It’s a detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) including enabling sensor and communication technologies as well as why Arizona is a hot bed for development and deployment plus a forward-looking view of markets and opportunities.
Check out @Tracxn's #curated latest #startup activity in #Tech https://tracxn.com/fm/dl/bKI1O1eugykx
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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
Check out our latest report on top #BusinessModels in built using #Tracxn's #proprietary #taxonomy https://tracxn.com/platform/file-manager/file/ZmlsZUlkPVI3SmQ1NkthMDRkdl9MNUpfZkx0blJfdElOZFlWeXdBWEctdWllZEU4RjQ%3D
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Tracxn - Top Business Models in United Kingdom Tech - 18 Oct 2023Tracxn
Check out our latest report on top #BusinessModels in built using #Tracxn's #proprietary #taxonomy https://tracxn.com/platform/file-manager/file/ZmlsZUlkPTViZ0pPUnhZQnhsOU14dGlxVEZuaHRPMS1KSWNOdkZqRlpOaXNpYVlHUHM%3D
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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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Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
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.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).