AWE Tel Aviv Startup Pitch: Mark Goldfarb with Sixdof SpaceAugmentedWorldExpo
A Startup Pitch from the Main Stage at AWE Tel Aviv 2018 - the World's #1 XR Conference & Expo in Tel Aviv, Israel, November 5, 2018.
http://AugmentedWorldExpo.com
Explore the concept of AR everywhere and learn where the industry is headed. We will assess the current state of DAQRI products and technology as well as the state of the market for sensors, wearables and AR in general. During this session, you will witness the impact of AR on a person’s life. Also, you will discover how developers can prepare to play a roll in the ecosystem.
Augmented World Expo (AWE) is back for its seventh year in our largest conference and expo featuring technologies giving us superpowers: augmented reality (AR), virtual reality (VR) and wearable tech. Join over 4,000 attendees from all over the world including a mix of CEOs, CTOs, designers, developers, creative agencies, futurists, analysts, investors, and top press in a fantastic opportunity to learn, inspire, partner, and experience first hand the most exciting industry of our times. See more at http://AugmentedWorldExpo.com
Artificial Intelligence has caught the attention of the oil and gas industry. This presentation sets out 4 use cases that are live in oil and gas as of October 2017. The speaker notes include specific solution names and vendors, including Stream Systems, Veerum, Osprey Analytics and IBM.
Doing DevOps for Big Data? What You Need to Know About AIOpsDevOps.com
AIOps has the promise to create hyper-efficiency within DevOps teams as they struggle with the diversity, complexity, and rate of change across the entire stack.
DevOps teams working with big data face unique challenges due to the complexity and diversity of the components that comprise the big data stack. At the same time, AIOps is maturing to the point of creating true efficiencies among these DevOps teams as they struggle against the diversity, complexity, dynamic behavior and rate of change across the entire stack.
AWE Tel Aviv Startup Pitch: Mark Goldfarb with Sixdof SpaceAugmentedWorldExpo
A Startup Pitch from the Main Stage at AWE Tel Aviv 2018 - the World's #1 XR Conference & Expo in Tel Aviv, Israel, November 5, 2018.
http://AugmentedWorldExpo.com
Explore the concept of AR everywhere and learn where the industry is headed. We will assess the current state of DAQRI products and technology as well as the state of the market for sensors, wearables and AR in general. During this session, you will witness the impact of AR on a person’s life. Also, you will discover how developers can prepare to play a roll in the ecosystem.
Augmented World Expo (AWE) is back for its seventh year in our largest conference and expo featuring technologies giving us superpowers: augmented reality (AR), virtual reality (VR) and wearable tech. Join over 4,000 attendees from all over the world including a mix of CEOs, CTOs, designers, developers, creative agencies, futurists, analysts, investors, and top press in a fantastic opportunity to learn, inspire, partner, and experience first hand the most exciting industry of our times. See more at http://AugmentedWorldExpo.com
Artificial Intelligence has caught the attention of the oil and gas industry. This presentation sets out 4 use cases that are live in oil and gas as of October 2017. The speaker notes include specific solution names and vendors, including Stream Systems, Veerum, Osprey Analytics and IBM.
Doing DevOps for Big Data? What You Need to Know About AIOpsDevOps.com
AIOps has the promise to create hyper-efficiency within DevOps teams as they struggle with the diversity, complexity, and rate of change across the entire stack.
DevOps teams working with big data face unique challenges due to the complexity and diversity of the components that comprise the big data stack. At the same time, AIOps is maturing to the point of creating true efficiencies among these DevOps teams as they struggle against the diversity, complexity, dynamic behavior and rate of change across the entire stack.
AI for Manufacturing (Machine Vision, Edge AI, Federated Learning)byteLAKE
This is the extended presentation about byteLAKE's and Lenovo's Artificial Intelligence solutions for Manufacturing.
Topics covered: AI strategy for manufacturing, Edge AI, Federated Learning and Machine Vision.
It's the first publication in the upcoming series: AI for Manufacturing. Highlights: AI-assisted quality monitoring automation, AI-assisted production line monitoring and issues detection, AI-assisted measurements, Intelligent Cameras and many more. Reach out to us to learn more: welcome@byteLAKE.com.
Presented during the world's first Federated Learning conference (Jun'20). Recording: https://youtu.be/IMqRIi45dDA
Related articles:
- Revolution in factories: Industry 4.0.
https://medium.com/@marcrojek/revolution-in-factories-industry-4-0-conference-made-in-wroclaw-2020-translation-ae96e5e14d55
- Cognitive Automation helps where RPAs fall short.
https://medium.com/@marcrojek/cognitive-automation-helps-where-rpas-fall-short-a1c5a01a66f8
- Machine Vision, how AI brings value to industries.
https://medium.com/@marcrojek/machine-vision-how-ai-brings-value-to-industries-e6a4f8e56f42
Learn more:
- https://www.bytelake.com/en/cognitive-services/
- https://www.lenovo.com/ai
- https://federatedlearningconference.com/
Extended reality (XR) is already providing revolutionary experiences today, and it’s important for developers to know all the latest advances. Taking your XR development to the next level of immersion within the power and thermal constraints of a mobile device is a critical challenge. A new era in distributed computing powered by 5G, on-device processing, and edge cloud processing could offer a solution. What if we combine the power-efficient, latency-sensitive on-device rendering and tracking of the XR headset with the partial rendering capabilities of the edge cloud over a 5G link with low latency and high quality-of-service? We get boundless mobile XR experiences with photorealistic visuals. Making this vision a reality for developers will require the entire XR and 5G ecosystem coming together.
XR viewers are a new category of AR or VR devices that allow for lighter and smaller designs since they are connected to smartphones or other computer accessories. For more details, check out this great webinar, which has been adapted from a presentation we gave at AWE 2019.
A late upload. This slide was presented on Aug 31, 2019, when I delivered a talk for AIoT seminar in University of Lambung Mangkurat, Banjarbaru. It's part of Republic of IoT 2019 event.
Vertex perspectives ai optimized chipsets (part i)Yanai Oron
Businesses are increasingly adopting AI to create new applications to transform existing operations, driving big data with the growth of IoT and 5G networks and increasing future process complexities for human operators. In this new environment, AI will be needed to write algorithms dynamically to automate the entire programming process. Fortunately, algorithms associated with deep learning are able to achieve enhanced performance with increasing data, unlike the rest associated with machine learning.
Vertex Perspectives | AI-optimized Chipsets | Part IVertex Holdings
Businesses are increasingly adopting AI to create new applications to transform existing operations, driving big data with the growth of IoT and 5G networks and increasing future process complexities for human operators. In this new environment, AI will be needed to write algorithms dynamically to automate the entire programming process. Fortunately, algorithms associated with deep learning are able to achieve enhanced performance with increasing data, unlike the rest associated with machine learning. To date, deep learning technology has primarily been a software play. Existing processors were not originally designed for these new applications. Hence the need to develop AI-optimized hardware.
Bei der Digital Konferenz The Future of AI & Big Data Analytics gibt Julian Fischer, Artificial Intelligence Account Executive bei intel, Einblick in End-to-End AI Acceleration mit Intel.
Julian Fischer ist seit 2018 bei intel. Er steht ein für die Förderung der Digitalisierung auf Basis der Intel-Technologie durch Unterstützung seiner Kunden und Partner bei allen IT-Herausforderungen, einschließlich der Zukunft des Arbeitsplatzes, der künstlichen Intelligenz und der DataCenter-Transformation.
ARC Advisory Group Vice President Craig Resnick and Inductive Automation Chief Strategy Officer Don Pearson discuss a new type of IIoT architecture that can increase data throughput, provide greater agility, and improve enterprise-wide communication. Learn how IIoT could reshape the way industrial organizations implement system architectures, and deepen your knowledge of the key factors driving this movement.
Explore megatrends in manufacturing:
- Digital enterprise/IIoT platforms
- Edge computing
- Open enterprise architectures for the IIoT age
- Virtual and augmented reality in factory environments
- The factory workforce of the future
- Cybersecurity needs and solutions
- And more
We envision a world where devices, machines, automobiles, and things are much more intelligent, simplifying and enriching our daily lives. They will be able to perceive, reason, and take intuitive actions based on awareness of the situation, improving just about any experience and solving problems that to this point we’ve either left to the user, or to more conventional algorithms.
Artificial intelligence (AI) is the technology driving this revolution. You may think that AI is really about big data and the cloud, and yet Qualcomm’s solutions already have the power, thermal, and processing efficiency to run powerful AI algorithms on the actual device. Our current products now support many AI use cases, such as computer vision, natural language processing, and malware detection — both for smartphones and autos — and we are researching broader topics, such as AI for wireless connectivity, power management, and photography. View this presentation to learn about our AI vision, including:
Why mobile is becoming the pervasive AI platform
The benefits of AI moving to the device and complementing the cloud
The benefits of distributed processing for AI
Qualcomm’s long history of AI research and development
What the future of AI processing might look like
Explore the Apple Vision Pro M2 Chip Power.pdfGoogle
The world is evolving at a rapid pace, and technology is at the forefront of this revolution. The driving force behind next-gen gadgets is the Apple Vision Pro M2 Chip. Apple has integrated this cutting-edge technology into its devices to offer users a seamless experience like never before!
AI for Manufacturing (Machine Vision, Edge AI, Federated Learning)byteLAKE
This is the extended presentation about byteLAKE's and Lenovo's Artificial Intelligence solutions for Manufacturing.
Topics covered: AI strategy for manufacturing, Edge AI, Federated Learning and Machine Vision.
It's the first publication in the upcoming series: AI for Manufacturing. Highlights: AI-assisted quality monitoring automation, AI-assisted production line monitoring and issues detection, AI-assisted measurements, Intelligent Cameras and many more. Reach out to us to learn more: welcome@byteLAKE.com.
Presented during the world's first Federated Learning conference (Jun'20). Recording: https://youtu.be/IMqRIi45dDA
Related articles:
- Revolution in factories: Industry 4.0.
https://medium.com/@marcrojek/revolution-in-factories-industry-4-0-conference-made-in-wroclaw-2020-translation-ae96e5e14d55
- Cognitive Automation helps where RPAs fall short.
https://medium.com/@marcrojek/cognitive-automation-helps-where-rpas-fall-short-a1c5a01a66f8
- Machine Vision, how AI brings value to industries.
https://medium.com/@marcrojek/machine-vision-how-ai-brings-value-to-industries-e6a4f8e56f42
Learn more:
- https://www.bytelake.com/en/cognitive-services/
- https://www.lenovo.com/ai
- https://federatedlearningconference.com/
Extended reality (XR) is already providing revolutionary experiences today, and it’s important for developers to know all the latest advances. Taking your XR development to the next level of immersion within the power and thermal constraints of a mobile device is a critical challenge. A new era in distributed computing powered by 5G, on-device processing, and edge cloud processing could offer a solution. What if we combine the power-efficient, latency-sensitive on-device rendering and tracking of the XR headset with the partial rendering capabilities of the edge cloud over a 5G link with low latency and high quality-of-service? We get boundless mobile XR experiences with photorealistic visuals. Making this vision a reality for developers will require the entire XR and 5G ecosystem coming together.
XR viewers are a new category of AR or VR devices that allow for lighter and smaller designs since they are connected to smartphones or other computer accessories. For more details, check out this great webinar, which has been adapted from a presentation we gave at AWE 2019.
A late upload. This slide was presented on Aug 31, 2019, when I delivered a talk for AIoT seminar in University of Lambung Mangkurat, Banjarbaru. It's part of Republic of IoT 2019 event.
Vertex perspectives ai optimized chipsets (part i)Yanai Oron
Businesses are increasingly adopting AI to create new applications to transform existing operations, driving big data with the growth of IoT and 5G networks and increasing future process complexities for human operators. In this new environment, AI will be needed to write algorithms dynamically to automate the entire programming process. Fortunately, algorithms associated with deep learning are able to achieve enhanced performance with increasing data, unlike the rest associated with machine learning.
Vertex Perspectives | AI-optimized Chipsets | Part IVertex Holdings
Businesses are increasingly adopting AI to create new applications to transform existing operations, driving big data with the growth of IoT and 5G networks and increasing future process complexities for human operators. In this new environment, AI will be needed to write algorithms dynamically to automate the entire programming process. Fortunately, algorithms associated with deep learning are able to achieve enhanced performance with increasing data, unlike the rest associated with machine learning. To date, deep learning technology has primarily been a software play. Existing processors were not originally designed for these new applications. Hence the need to develop AI-optimized hardware.
Bei der Digital Konferenz The Future of AI & Big Data Analytics gibt Julian Fischer, Artificial Intelligence Account Executive bei intel, Einblick in End-to-End AI Acceleration mit Intel.
Julian Fischer ist seit 2018 bei intel. Er steht ein für die Förderung der Digitalisierung auf Basis der Intel-Technologie durch Unterstützung seiner Kunden und Partner bei allen IT-Herausforderungen, einschließlich der Zukunft des Arbeitsplatzes, der künstlichen Intelligenz und der DataCenter-Transformation.
ARC Advisory Group Vice President Craig Resnick and Inductive Automation Chief Strategy Officer Don Pearson discuss a new type of IIoT architecture that can increase data throughput, provide greater agility, and improve enterprise-wide communication. Learn how IIoT could reshape the way industrial organizations implement system architectures, and deepen your knowledge of the key factors driving this movement.
Explore megatrends in manufacturing:
- Digital enterprise/IIoT platforms
- Edge computing
- Open enterprise architectures for the IIoT age
- Virtual and augmented reality in factory environments
- The factory workforce of the future
- Cybersecurity needs and solutions
- And more
We envision a world where devices, machines, automobiles, and things are much more intelligent, simplifying and enriching our daily lives. They will be able to perceive, reason, and take intuitive actions based on awareness of the situation, improving just about any experience and solving problems that to this point we’ve either left to the user, or to more conventional algorithms.
Artificial intelligence (AI) is the technology driving this revolution. You may think that AI is really about big data and the cloud, and yet Qualcomm’s solutions already have the power, thermal, and processing efficiency to run powerful AI algorithms on the actual device. Our current products now support many AI use cases, such as computer vision, natural language processing, and malware detection — both for smartphones and autos — and we are researching broader topics, such as AI for wireless connectivity, power management, and photography. View this presentation to learn about our AI vision, including:
Why mobile is becoming the pervasive AI platform
The benefits of AI moving to the device and complementing the cloud
The benefits of distributed processing for AI
Qualcomm’s long history of AI research and development
What the future of AI processing might look like
Explore the Apple Vision Pro M2 Chip Power.pdfGoogle
The world is evolving at a rapid pace, and technology is at the forefront of this revolution. The driving force behind next-gen gadgets is the Apple Vision Pro M2 Chip. Apple has integrated this cutting-edge technology into its devices to offer users a seamless experience like never before!
Similar to ThinkSilicon at Open Coffee Athens XCIV (20)
Η παρουσίαση του ιδρυτή της Hack The Box Χάρη Πυλαρινού στο αθηναϊκό Open Coffee.
Το βίντεο είναι διαθέσιμο εδώ: https://www.youtube.com/watch?v=WxNPGwOQlaU
Η παρουσίαση του ιδρυτή της proto.io & overflow.io Αλέξη Πιπερίδη στο αθηναϊκό Open Coffee.
Βίντεο διαθέσιμο εδώ: https://www.youtube.com/watch?v=WxNPGwOQlaU
Η Παρουσίαση των: Θάλεια Μισαηλίδου, Αλεξία Παναγοπούλου, Elsa Sahnas, Γιάννη Τσακατάνη και Ελίνας Τσαδάρη απο το Greek Finance Network στο Open Coffee #99
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Online aptitude test management system project report.pdfKamal Acharya
The purpose of on-line aptitude test system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of on-line aptitude test system is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results. For students they give papers according to their convenience and time and there is no need of using extra thing like paper, pen etc. This can be used in educational institutions as well as in corporate world. Can be used anywhere any time as it is a web based application (user Location doesn’t matter). No restriction that examiner has to be present when the candidate takes the test.
Every time when lecturers/professors need to conduct examinations they have to sit down think about the questions and then create a whole new set of questions for each and every exam. In some cases the professor may want to give an open book online exam that is the student can take the exam any time anywhere, but the student might have to answer the questions in a limited time period. The professor may want to change the sequence of questions for every student. The problem that a student has is whenever a date for the exam is declared the student has to take it and there is no way he can take it at some other time. This project will create an interface for the examiner to create and store questions in a repository. It will also create an interface for the student to take examinations at his convenience and the questions and/or exams may be timed. Thereby creating an application which can be used by examiners and examinee’s simultaneously.
Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
14. Research
Patents
Sales
Marketing
19 engineers, 2 marketing, 4 sales, 1 solution architect
40% of the engineering team hold a bachelor degree, 40% a masters and 20% a Phd from top 20 schools.
Technology
Products
Team(1)
George
CEO, co-founder
Iakovos
CTO, co-founder
Ulli
marketing/sales
George
CSO
15. Advisory Board
Sales Channel
Region Sales Rep Experience
North America Roger Milton vp of Sales at MIPS (US)
EMEA Stefan Buechmann vp of Sales at MIPS (EMEA), Product sales Mgr at Synopsys
Taiwan Grace Lin Taiwan Country Manager at MIPS, Sr Manager at Infineon
Japan Christos Makiyama Japan Business Development Director at Helic
Gideon Intrader
vp Marketing of MIPS Technologies
CTO of Adesto
Stefanos Sidiropoulos
Founder/CEO of Aeluros acquired by NetLogic
Founder/CEO of nusemi acquired by Cadence
Team(2)
19. TRAINING
Learning new capabilities
form existing data
Untrained
Neural Network
Trained
Neural Network
• New Capabilities
• Performance Optimized
Trained NN Model
NEW
TRAINING
DATASET
INFERENCE
Applying trained
behavior to new data
NEW DATA
INPUT
Artificial Intelligence
20. EDGE
Billions of Devices
FOG Nodes
Millions of Devices
CLOUD
Thousands of Devices
TRAINING
INFERENCE
INFERENCE
Artificial Intelligence
21. NO LOW-POWER INFERENCE ON THE EDGE:
HIGH ENERGY
Device battery runs out due to transmission power
HIGH LATENCY
Response-requests over a network cannot work for streaming data
LOW PRIVACY
The data must leave the device
LIMITED AVAILABILITY
Cannot run outside network coverage
Challenges
22. Think Silicon is moving to the AI developing
the most power efficient Inference Accelerator.
Existing technology, patents, work flow and core team are the
foundation of this new development.
The revolutionary Inference xNN Accelerator (IxNN®) combines the
performance of a GPU with Think Silicon low power technology
bringing real time inference on the edge
NEMA Inference Accelerator
23. AI Camera Device Market
Video Analytics – Cameras
Wearables, Drones, Robots, Toys,
E-Scooter, AR-Glasses etc.
ENERGY Cautious
Patented Technology for: Compression, Data reuse, Approximate computing
LOW LATENCY
A revolutionary real-time inference accelerator reduces reliance with the cloud
HIGH PERFORMANCE
Massive Parallel execution, fast MAC operations , Memory latency hiding
HIGH PRIVACY
Local inference reduces data communication with the cloud
NEMA Inference Accelerator
24. Technology:
Listen to your customers
Apply for patents
Business:
Invest in Sales
Be in front of you customers
Team:
Widen your team
Give shares to key people
Funding
Talk to investors
Stay focused
Key takeaways
25. www.think-silicon.com
HQ & DC
Patras Science Park
Rion Achaias, 26504
Greece
T. + 30 2610 911543
info@think-silicon.com
North America
Ulli Mueller
Toronto / Canada
T. +1 647.824.2006
u.mueller@think-silicon.com
Sales
Roger Milton
North America / San Jose, CA
T. +1 408.677.6070
r.milton@think-silicon.com
Sales
Stefan Buechmann
EMEA / Germany
T. +49 170.636.5370
s.buechmann@think-silicon.com
Sales
Christos Makiyama
Japan / Tokyo
T. +81 90.9854.1132
c.makiyama@think-silicon.com
Sales
Grace Lin
Taiwan / Taipei
T. +886. 9630.31076
g.lin@think-silicon.com