The ultimate goal of ADAS feature development is to make our roads safer and better suited for fully autonomous vehicles in the long run. Still, manufacturers and buyers shouldn’t underestimate the importance of ADAS for meeting current automotive challenges. The most significant impact of advanced driver assistance systems is in providing drivers with essential information and automating difficult and repetitive tasks. This increases safety for everyone on the road
Just what is that thing on top of the Google Car? What does adaptive cruise control with lane assist mean? When are these things going to be ready? The answer to these questions and more in a technology overview that unravels just how these vehicles are going to work. Presented at the 2017 D-STOP Symposium.
Artificial intelligence in autonomous vehicleGwenaël C
Présentation réalisé pour le cours d'anglais de la Licence 3 Miashs parcours Miage réalisée l'université de Toulouse Capitole conjointement à l'université Toulouse Paul Sabatier
Self driving cars are the future and we must be ready for it whether we like it or not.
This ppt covers self driving cars and the latest technology used in them
Just what is that thing on top of the Google Car? What does adaptive cruise control with lane assist mean? When are these things going to be ready? The answer to these questions and more in a technology overview that unravels just how these vehicles are going to work. Presented at the 2017 D-STOP Symposium.
Artificial intelligence in autonomous vehicleGwenaël C
Présentation réalisé pour le cours d'anglais de la Licence 3 Miashs parcours Miage réalisée l'université de Toulouse Capitole conjointement à l'université Toulouse Paul Sabatier
Self driving cars are the future and we must be ready for it whether we like it or not.
This ppt covers self driving cars and the latest technology used in them
The Internet of Cars - Towards the Future of the Connected CarJorgen Thelin
No doubt you have heard the phrase “Internet of Things” and the new buzzword “IoT” been used more and more these days, but what does that mean in practice? The Tesla Model S is probably the most well-connected car on the planet at the moment, and in this presentation we will use that vehicle as a case study of some practical usage of IoT concepts and technology that is already being applied to modern automobiles.How far away are we from a future “Internet of Cars” and what will be the social and privacy impacts of more connected-car scenarios?
I guess everyone have little knowledge about connected car technology as it has been newly introduced to auto industry. This presentation explains some common features of it i.e. Music app, Navigation, Automotive system diagnosis, Bluetooth, Road-side assistance, Hands-free control, Contextual help, Parking help, App manager, 4G Wi-Fi hotspot, ADAS etc. The most demanded features of connected car are the In-car safety features and vehicle-to-vehicle safety features. Check out for details.
The autonomous vehicle, driverless or self-driving car will be one of the greatest technological developments of the next decade (if not all time).
It will profoundly change life on earth.
For the past century our car-centric culture has shaped infrastructure and ideals, landscape and lifestyle, ethics and enterprise. We rely on the mobility that cars provide us more than ever, but the car’s purpose and meaning changes as the driver fades out.
When the car drives itself, what we do in our cars and with our cars is exponentially different. When the car is intelligent, intuitive and adaptive, our relationship to the car alters. When the car builds itself, environments and economies are reshaped.
This report looks at the players, technologies and trends in the autonomous vehicle space and paints a picture of probable futures for citizens, businesses and marketers.
Buckle up. Bumpy roads ahead.
Hear about data science techniques used by the data science team at Pivotal Software to create predictive maintenance applications for connected vehicles
Applications of Artificial Intelligence in Transportation SystemsEITESAL NGO
Dr.Mohamed el Shenawy speech about applications of Artificial Intelligence in transportation systems
▪️Mentioning how can AI can change our future? And how Intelligent machines works starting with the Perception ➡️ Comprehension ➡️ Projection ➡️ Decision
▪️ AI graduation projects in Egyptian Universities
▪️ AI in self-driving cars
▪️AI in traffic management
#Artificial_Intelligence
#EiTESAL
The presentation was used by the Dr. Pratik Desai at his talk at the "Silicon Valley Automotive Open Source" meetup held at HackerDojo on April 7th, 2016.
Autonomous vehicles: becoming economically feasible through improvements in l...Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economically feasible throug through improvements in lasers, microelectronic mechanical systems (MEMS), integrated circuits (ICs), and other components. Although the cost of the Google Car is currently about 150,000 USD, 30% annual improvements in lasers, MEMS, and ICs will make these economically feasible for a broad number of users in the next ten years. A key issue is when certain lanes, roads or even entire highway systems are restricted to automated vehicles. This would enable collision avoidance to rely more on between-vehicle communications. This would further reduce the cost of automated vehicles, stimulate diffusion, and also reduce transportation time and increase fuel efficiency.
IoT is reshaping the manufacturing and industrial processes, effectively changing the paradigm from one of repair and replace to more of predict and prevent. Using data streaming from connected equipment and machinery, organizations can now monitor the health of their assets and effectively predict when and how an asset might fail. However, without the right data management strategy and tools, investments in IoT can yield limited results. Join Cloudera and Tata Consultancy Services (TCS) for a joint webinar to learn more about how organizations are using advanced analytics and machine learning to drive IoT enabled predictive maintenance.
How to Build a Data Closed-loop Platform for Autonomous Driving?Yu Huang
Introduction;
data driven models for autonomous driving;
cloud computing infrastructure and big data processing;
annotation tools for training data;
large scale model training platform;
model testing and verification;
related machine learning techniques;
Conclusion.
Smart Parking systems typically obtains information about available parking spaces in a particular geographic area and process is real-time to place vehicles at available positions .It involves using low-cost sensors, real-time data collection, and mobile-phone-enabled automated payment systems that allow people to reserve parking in advance or very accurately predict where they will likely find a spot.
Last Week’s session - “IoT – Connected Car – Technology Trends & Opportunities” covered a trending topic that promises to disrupt the transportation industry, as we know it. Here are the key Lounge47 takeaways:
1. Connected Cars are vehicles that use any from a range of communication technologies to communicate a) with the driver b) with other cars on the road (vehicle-to-vehicle (V2V)) c) road infrastructure (vehicle-to-infrastructure (V2I)) and d) the “Cloud” 2. Status today? a) Only a fraction of future automated and connected vehicle technologies are available today b) Although individual aspects of the connected driving experience are established the integrated whole is not c) The public today only enjoys up to level 2 on a 5 level scale of 0 to full automation. Level 4 vehicles are however being tested 3. 2014 milestones: a) Google and Apple target the car dashboard with 'Android Auto' and 'Carplay' platforms b) Google makes autonomous cars real with its self driving car d) Automotive companies begin to take customer data protection seriously e) Vehicle-to-Vehicle (V2V) technology gets the regulatory nod 4. Questions: Is the car the new Tech battleground? Will there be an Apple car? What business models will prevail? Are Uber-like companies preparing the market for the self-driving car? Would Self-driving cars make owning a car a thing of the past? 5. Benefits: a) Savings in terms of increased people productivity b) reduced gasoline usage due to efficient driving c) reduced road infrastructure maintenance d) Increased safety 6. Challenges: a) Developing a UI/UX that minimizes driver distraction b) Customer Data security c) In-car and remote cyber crime d) Liability – where does it sit? 7.Opportunities: a) In-car data that could serve consumers, drivers themselves, marketers, hardware manufactures, car companies and insurance companies b) Aftermarket solutions c) IoT products & solutions. 47b market today set to grow to 270b USD by 2020. Revenue potential per connected car estimated to be 1400 USD/vehicle/year 8. Opportunities in India: The Indian market will take time to mature. In the short-term: a) Parking Management b) Connected Infrastructure (e.g. smart cities) c) Insurance – Usage Based Insurance, driving pattern monitoring & support d) Radio Taxi Service – e.g. Ola, Uber e) Transportation as a Service – Personal mobility, Goods mobility f) Service Stations - cloud-based diagnostics & preventive care g) Battery technologies – Charging stations offer opportunities. In summary - realization of the Connected Car vision and the benefits it brings hinges not on the technology challenges but on whether it will win consumer acceptance and trust.
www.lounge47.in
Artificial Intelligence In The Automotive Industry - M&A Trend AnalysisNetscribes
Artificial Intelligence (AI) is redefining the automotive industry. Organizations in the automotive industry are realizing the need to leverage advanced algorithms and computational structures, innovative testing and validation platforms, integrated cockpit solutions, and 5G network adoption and application deployment for building their next generation mobility services. As a result, mergers and acquisitions focused on acquiring AI capabilities is on the rise in auto sector.
The report provides a detailed analysis of more than 60 AI-focused deals in the auto sector over the last 10 years. Understand the specific AI technologies and capabilities that are high in demand, deal sizes, and the strategies driving those partnerships.
To purchase the full report, write to us at info@netscribes.com
Clarisse Hedglin from IBM presented this as part of 3 days International Summit .. She shared the scenarios AI can solve for today using the IBM AI infrastructure.
The Internet of Cars - Towards the Future of the Connected CarJorgen Thelin
No doubt you have heard the phrase “Internet of Things” and the new buzzword “IoT” been used more and more these days, but what does that mean in practice? The Tesla Model S is probably the most well-connected car on the planet at the moment, and in this presentation we will use that vehicle as a case study of some practical usage of IoT concepts and technology that is already being applied to modern automobiles.How far away are we from a future “Internet of Cars” and what will be the social and privacy impacts of more connected-car scenarios?
I guess everyone have little knowledge about connected car technology as it has been newly introduced to auto industry. This presentation explains some common features of it i.e. Music app, Navigation, Automotive system diagnosis, Bluetooth, Road-side assistance, Hands-free control, Contextual help, Parking help, App manager, 4G Wi-Fi hotspot, ADAS etc. The most demanded features of connected car are the In-car safety features and vehicle-to-vehicle safety features. Check out for details.
The autonomous vehicle, driverless or self-driving car will be one of the greatest technological developments of the next decade (if not all time).
It will profoundly change life on earth.
For the past century our car-centric culture has shaped infrastructure and ideals, landscape and lifestyle, ethics and enterprise. We rely on the mobility that cars provide us more than ever, but the car’s purpose and meaning changes as the driver fades out.
When the car drives itself, what we do in our cars and with our cars is exponentially different. When the car is intelligent, intuitive and adaptive, our relationship to the car alters. When the car builds itself, environments and economies are reshaped.
This report looks at the players, technologies and trends in the autonomous vehicle space and paints a picture of probable futures for citizens, businesses and marketers.
Buckle up. Bumpy roads ahead.
Hear about data science techniques used by the data science team at Pivotal Software to create predictive maintenance applications for connected vehicles
Applications of Artificial Intelligence in Transportation SystemsEITESAL NGO
Dr.Mohamed el Shenawy speech about applications of Artificial Intelligence in transportation systems
▪️Mentioning how can AI can change our future? And how Intelligent machines works starting with the Perception ➡️ Comprehension ➡️ Projection ➡️ Decision
▪️ AI graduation projects in Egyptian Universities
▪️ AI in self-driving cars
▪️AI in traffic management
#Artificial_Intelligence
#EiTESAL
The presentation was used by the Dr. Pratik Desai at his talk at the "Silicon Valley Automotive Open Source" meetup held at HackerDojo on April 7th, 2016.
Autonomous vehicles: becoming economically feasible through improvements in l...Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economically feasible throug through improvements in lasers, microelectronic mechanical systems (MEMS), integrated circuits (ICs), and other components. Although the cost of the Google Car is currently about 150,000 USD, 30% annual improvements in lasers, MEMS, and ICs will make these economically feasible for a broad number of users in the next ten years. A key issue is when certain lanes, roads or even entire highway systems are restricted to automated vehicles. This would enable collision avoidance to rely more on between-vehicle communications. This would further reduce the cost of automated vehicles, stimulate diffusion, and also reduce transportation time and increase fuel efficiency.
IoT is reshaping the manufacturing and industrial processes, effectively changing the paradigm from one of repair and replace to more of predict and prevent. Using data streaming from connected equipment and machinery, organizations can now monitor the health of their assets and effectively predict when and how an asset might fail. However, without the right data management strategy and tools, investments in IoT can yield limited results. Join Cloudera and Tata Consultancy Services (TCS) for a joint webinar to learn more about how organizations are using advanced analytics and machine learning to drive IoT enabled predictive maintenance.
How to Build a Data Closed-loop Platform for Autonomous Driving?Yu Huang
Introduction;
data driven models for autonomous driving;
cloud computing infrastructure and big data processing;
annotation tools for training data;
large scale model training platform;
model testing and verification;
related machine learning techniques;
Conclusion.
Smart Parking systems typically obtains information about available parking spaces in a particular geographic area and process is real-time to place vehicles at available positions .It involves using low-cost sensors, real-time data collection, and mobile-phone-enabled automated payment systems that allow people to reserve parking in advance or very accurately predict where they will likely find a spot.
Last Week’s session - “IoT – Connected Car – Technology Trends & Opportunities” covered a trending topic that promises to disrupt the transportation industry, as we know it. Here are the key Lounge47 takeaways:
1. Connected Cars are vehicles that use any from a range of communication technologies to communicate a) with the driver b) with other cars on the road (vehicle-to-vehicle (V2V)) c) road infrastructure (vehicle-to-infrastructure (V2I)) and d) the “Cloud” 2. Status today? a) Only a fraction of future automated and connected vehicle technologies are available today b) Although individual aspects of the connected driving experience are established the integrated whole is not c) The public today only enjoys up to level 2 on a 5 level scale of 0 to full automation. Level 4 vehicles are however being tested 3. 2014 milestones: a) Google and Apple target the car dashboard with 'Android Auto' and 'Carplay' platforms b) Google makes autonomous cars real with its self driving car d) Automotive companies begin to take customer data protection seriously e) Vehicle-to-Vehicle (V2V) technology gets the regulatory nod 4. Questions: Is the car the new Tech battleground? Will there be an Apple car? What business models will prevail? Are Uber-like companies preparing the market for the self-driving car? Would Self-driving cars make owning a car a thing of the past? 5. Benefits: a) Savings in terms of increased people productivity b) reduced gasoline usage due to efficient driving c) reduced road infrastructure maintenance d) Increased safety 6. Challenges: a) Developing a UI/UX that minimizes driver distraction b) Customer Data security c) In-car and remote cyber crime d) Liability – where does it sit? 7.Opportunities: a) In-car data that could serve consumers, drivers themselves, marketers, hardware manufactures, car companies and insurance companies b) Aftermarket solutions c) IoT products & solutions. 47b market today set to grow to 270b USD by 2020. Revenue potential per connected car estimated to be 1400 USD/vehicle/year 8. Opportunities in India: The Indian market will take time to mature. In the short-term: a) Parking Management b) Connected Infrastructure (e.g. smart cities) c) Insurance – Usage Based Insurance, driving pattern monitoring & support d) Radio Taxi Service – e.g. Ola, Uber e) Transportation as a Service – Personal mobility, Goods mobility f) Service Stations - cloud-based diagnostics & preventive care g) Battery technologies – Charging stations offer opportunities. In summary - realization of the Connected Car vision and the benefits it brings hinges not on the technology challenges but on whether it will win consumer acceptance and trust.
www.lounge47.in
Artificial Intelligence In The Automotive Industry - M&A Trend AnalysisNetscribes
Artificial Intelligence (AI) is redefining the automotive industry. Organizations in the automotive industry are realizing the need to leverage advanced algorithms and computational structures, innovative testing and validation platforms, integrated cockpit solutions, and 5G network adoption and application deployment for building their next generation mobility services. As a result, mergers and acquisitions focused on acquiring AI capabilities is on the rise in auto sector.
The report provides a detailed analysis of more than 60 AI-focused deals in the auto sector over the last 10 years. Understand the specific AI technologies and capabilities that are high in demand, deal sizes, and the strategies driving those partnerships.
To purchase the full report, write to us at info@netscribes.com
Clarisse Hedglin from IBM presented this as part of 3 days International Summit .. She shared the scenarios AI can solve for today using the IBM AI infrastructure.
MIPI DevCon Taipei 2019 Keynote: Technologies for Automated DrivingMIPI Alliance
Simon Teng, assistant general nanager of the Intelligent Automotive Business Unit at MediaTek, discusses the mega trends of automotive, the kinds of technologies needed to realize these mega trends, and how SoC solutions with these technologies will become the foundation of automated driving systems.
This presentation talks about Software Defined Vehicles, Automotive Standards including Cyber Security and Safety, Agile Methods like SAFe/Less , Continuous Delivery best practices.
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.
Since the past couple of years, the manufacturing industry has been going through turbulent times, and some of the following, asset management challenges are among the most pressing concerns for them today.
Drop in Asset ROI
Complex distribution network
High unplanned outages
Reduced asset availability
To combat such challenges, enterprises have started embracing mobile initiatives, in effectively tracking and sharing asset information and optimize their supply chain operations in real time.This presentation talks about how mobile can help, you efficiently track and maintain disparate assets, regardless of their category, complexity, or location, with Streebo's Manufacturing Apps Suite
Since the past couple of years, the manufacturing industry has been going through turbulent times, and some of the following, asset management challenges are among the most pressing concerns for them today.
Drop in Asset ROI
Complex distribution network
High unplanned outages
Reduced asset availability
To combat such challenges, enterprises have started embracing mobile initiatives, in effectively tracking and sharing asset information and optimize their supply chain operations in real time. This presentation talks about how mobile can help, you efficiently track and maintain disparate assets, regardless of their category, complexity, or location, with Streebo Manufacturing Apps Suite
Rosella reference design architecture v 0.1Tarik Hammadou
I am pleased to release the first version of the Rosella Reference Design Architecture and Applications document outlining requirements necessary to address the deployment of Rosella edge computing smart infrastructure platform with focus on the Parking Guidance Application (PGA)
Automated-Testing-of-Infotainment-Systems.pdfMatthew Allen
This whitepaper discusses the importance of automotive infotainment testing and ways to automate the QA process of in-vehicle infotainment systems (IVIS). The paper provides an overview of the changing IVI landscape, user expectations, and the challenges auto OEMs and IVI app developers face in testing infotainment systems. It further delves into how auto OEMs and IVI app creators can leverage automotive infotainment testing tools to provide customers with a flawless digital user experience.
The Libre-SOC Project aims to create an entirely Libre-Licensed, transparently-developed fully auditable Hybrid 3D CPU-GPU-VPU, using the Supercomputer-class OpenPOWER ISA as the foundation.
Our first test ASIC is a 180nm "Fixed-Point" Power ISA v3.0B processor, 5.1mm x 5.9mm, as a proof-of-concept for the team, whose primary expertise is in Software Engineering. Software Engineering training brings a radically different approach to Hardware development: extensive unit tests, source code revision control, automated development tools are normal. Libre Project Management brings even more: bug trackers, mailing lists, auditable IRC logs and a wiki are standard fare for Libre Projects that are simply not normal Industry-Standard practice.
This talk therefore goes through the workflow, from the original HDL through to the GDS-II layout, showing how we were able to keep track of the development that led to the IMEC 180nm tape-out in July 2021. In particular, by following a parallel development process involving "Real" and "Symbolic" Cell Libraries, developed by Chips4Makers, will be shown how our developers did not need to sign a Foundry NDA, but were still able to work side-by-side with a University that did. With this parallel development process, the University upheld their NDA obligations, and Libre-SOC were simultaneously able to honour its Transparency Objectives.
Workload Transformation and Innovations in POWER Architecture Ganesan Narayanasamy
IT Industry is going through two major transformations. One is adaption of AI and tight integration of the same in the commercial applications and enterprise workflow. Two the transformation in software architecture through the concepts like microservices and the cloud native architecture. These transformation alongside the aggressive adaption of IoT/mobile and 5G in all our day today activities is making the world operate in more real time manner which opens-up a new challenge to improve the hardware architecture to adapt to these requirements. These above two major transformation pushes the boundary of the entire systems stack making the designer rethink hardware. This talk presents you a picture of how the enterprise Industry leading POWER architecture is transforming to fulfill the performance demands of these newer generation workloads with primary focus on the AI acceleration on the chip.
July 16th 2021 , Friday for our newest workshop with DoMS, IIT Roorkee, Concept to Solutions using OpenPOWER Stack. It's time to discover advances in #DeepLearning tools and techniques from the world's leading innovators across industries, research, and public speakers.
Register here:
https://lnkd.in/ggxMq2N
This presentation covers two uses cases using OpenPOWER Systems
1. Diabetic Retinopathy using AI on NVIDIA Jetson Nano: The objective is to classify the diabetic level solely on retina image in a remote area with minimum doctor's inference. The model uses VGG16 network architecture and gets trained from scratch on POWER9. The model was deployed on the Jetson Nano board.
1. Classifying Covid positivity using lung X-ray images: The idea is to build ML models to detect positive cases using X-ray images. The model was trained on POWER9, and the application was developed using Python.
IBM Bayesian Optimization Accelerator (BOA) is a do-it-yourself toolkit to apply state-of-the-art Bayesian inferencing techniques and obtain optimal solutions for complex, real-world design simulations without requiring deep machine learning skills. This talk will describe IBM BOA, its differentiation and ease of use, and how researchers can take advantage of it for optimizing any arbitrary HPC simulation.
This presentation covers various partners and collaborators who are currently working with OpenPOWER foundation ,Use cases of OpenPOWER systems in multiple Industries , OpenPOWER Workgroups and OpenCAPI features .
The IBM POWER10 processor represents the 10th generation of the POWER family of enterprise computing engines. Its performance is a result of both powerful processing cores and high-bandwidth intra- and inter-chip interconnect. POWER10 systems can be configured with up to 16 processor chips and 1920 simultaneous threads of execution. Cross-system memory sharing, through the new Memory Inception technology, and 2 Petabytes of addressing space support an expansive memory system. The POWER10 processing core has been significantly enhanced over its POWER9 predecessor, including a doubling of vector units and the addition of an all-new matrix math engine. Throughput gains from POWER9 to POWER10 average 30% at the core level and three-fold at the socket level. Those gains can reach ten- or twenty-fold at the socket level for matrix-intensive computations.
Everything is changing from Health Care to the Automotive markets without forgetting Financial markets or any type of engineering everything has stopped being created as an individual or best-case scenario a team effort to something that is being developed and perfectioned by using AI and hundreds of computers.And even AI is something that we no longer can run in a single computer, no matter how powerful it is. What drives everything today is HPC or High-Performance Computing heavily linked to AI In this session we will discuss about AI, HPC computing, IBM Power architecture and how it can help develop better Healthcare, better Automobiles, better financials and better everything that we run on them
Macromolecular crystallography is an experimental technique allowing to explore 3D atomic structure of proteins, used by academics for research in biology and by pharmaceutical companies in rational drug design. While up to now development of the technique was limited by scientific instruments performance, recently computing performance becomes a key limitation. In my presentation I will present a computing challenge to handle 18 GB/s data stream coming from the new X-ray detector. I will show PSI experiences in applying conventional hardware for the task and why this attempt failed. I will then present how IC 922 server with OpenCAPI enabled FPGA boards allowed to build a sustainable and scalable solution for high speed data acquisition. Finally, I will give a perspective, how the advancement in hardware development will enable better science by users of the Swiss Light Source.
AI in healthcare and Automobile Industry using OpenPOWER/IBM POWER9 systemsGanesan Narayanasamy
As the adoption of AI technologies increases and matures, the focus will shift from exploration to time to market, productivity and integration with existing workflows. Governing Enterprise data, scaling AI model development, selecting a complete, collaborative hybrid platform and tools for rapid solution deployments are key focus areas for growing data scientist teams tasked to respond to business challenges. This talk will cover the challenges and innovations for AI at scale for the Industires such as Healthcare and Automotive , the AI ladder and AI life cycle and infrastructure architecture considerations.
This talk gives an introduction about Healthcare Use cases - The AI ladder and Lifestyle AI at Scale Themes The iterative nature of the workflow and some of the important components to be aware in developing AI health care solutions were being discussed. The different types of algorithms and when machine learning might be more appropriate in deep learning or the other way will also be discussed. Use cases in terms of examples are also shared as part of this presentation .
Healthcare has became one of the most important aspects of everyones life. Its importance has surged due to the latests outbreaks and due to this latest pandemic it has become mandatory to collaborate to improve everyones Healthcare as soon as possible.
IBM has reacted quickly sharing not only its knowledge but also its Artificial Intelligence Supercomputers all around the world.
Those Supercomputers are helping to prevail this outbreak and also future ones.
They have completely different features compared to proposals from other players of this Supercomputers market.
We will try to make a quick look at the differences of those AI focused Supercomputers and how they can help in the R&D of Healthcare solutions for everyone, from those ones with access to a big IBM AI Supercomputer to those ones with access to only one small IBM AI focused server.
Healthcare has became one of the most important aspects of everyones life. Its importance has surged due to the latests outbreaks and due to this latest pandemic it has become mandatory to collaborate to improve everyones Healthcare as soon as possible.
IBM has reacted quickly sharing not only its knowledge but also its Artificial Intelligence Supercomputers all around the world.
Those Supercomputers are helping to prevail this outbreak and also future ones.
They have completely different features compared to proposals from other players of this Supercomputers market.
We will try to make a quick look at the differences of those AI focused Supercomputers and how they can help in the R&D of Healthcare solutions for everyone, from those ones with access to a big IBM AI Supercomputer to those ones with access to only one small IBM AI focused server.
Moving object recognition (MOR) corresponds to the localization and classification of moving objects in videos. Discriminating moving objects from static objects and background in videos is an essential task for many computer vision applications. MOR has widespread applications in intelligent visual surveillance, intrusion detection, anomaly detection and monitoring, industrial sites monitoring, detection-based tracking, autonomous vehicles, etc. In this session, Murari provided a poster about the deep learning algorithms to identify both locations and corresponding categories of moving objects with a convolutional network. The challenges in developing such algorithms have been discussed.
Dr Murari Mandal from NUS presented as part of 3 days OpenPOWER Industry summit about Robustness in Deep learning where he talked about AI Breakthroughs , Performance improments in AI models , Adversarial attacks , Attacks on semantic segmentation , Attacs on object detector , Defending Against adversarial attacks and many other areas.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
54. Distributed Deep Learning
Research Innovations
Optimized ML/DL frameworks & libraries
Snap Machine LearningLarge Model Support
1.1 Hours
1.53 Minutes
0
20
40
60
80
Google
CPU-only
Snap ML
Power + GPURuntime(Minutes)
Logistic Regression in
Snap ML (with GPUs) vs
TensorFlow (CPU-only)
46x Faster
3.1 Hours
49 Mins
0
2000
4000
6000
8000
10000
12000
Xeon x86 2640v4 w/ 4x
V100 GPUs
Power AC922 w/ 4x V100
GPUs
Time(secs)
Caffe with LMS (Large Model Support)
3.8x Faster
GoogleNet model
on Enlarged
ImageNet Dataset
(2240x2240)
0
100
200
300
400
1 System 64 Systems
58x Faster
ResNet-101, ImageNet-22K
Caffe with PowerAI DDL,
Running on Minsky (S822Lc)
Power System
Google: 90 x86 servers
Snap ML: 4 AC922 servers
54
16 Days
7 Hours
IBM Watson Machine Learning
Community Edition / Accelerator