In U.S Drivers add 81 extra hours to their arrival each year due to traffic. The other U.S. cities are also worse, these cities are known for difficult driving conditions with hills, bridges, and bikers.
2016 D-STOP Symposium ("Smart Cities") session by Cap Metro's Joe Iannello. Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
A self-driving car is hyper-communication: a system communicating with more elements, more frequently, and in real-time But to what extent can unmanned vehicles trust communication to make their own decisions? In other terms, how autonomous will be autonomous cars, once they reach the so-called ‘fifth level of autonomy’? 樂
Spindox is involved in 2 different research programs working on this question. We will give our vision for the mid-term scenario, from both a technical and a business perspective: architectural view, industry role, sourcing and delivery strategies. More specifically, we are presenting a proposed model for the data layer within this architecture, that addressed most of foreseen technical issues
Questions?
Join the conversation at @dovuapi or DM arwen@dovu.io.
Summary
Moving from A-B is slowly being revolutionised through data. Car-sharing and ride-hailing are just the beginning. Thousands of connected devices are currently monitoring data points, and although stand-alone analysis can be useful, true innovation occurs when these data sets are combined to transform into something new.
In the near future, IoT data explosion and the API revolution will collide to change city planning, urban movement and the role of the car in the 21st century.
- First off, we set out to understand what big data means in the context of transportation, answering questions such as what is it, where is it coming from, and what can you do with it.
- Next, we'll zoom out and apply these learning to transport innovation in a wider context, considering how it will influence concepts such as urban movement, social mobility, and quality of life.
- Finally, we'll discuss the relationship between open data and innovation.
2016 D-STOP Symposium ("Smart Cities") session by Cap Metro's Joe Iannello. Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
A self-driving car is hyper-communication: a system communicating with more elements, more frequently, and in real-time But to what extent can unmanned vehicles trust communication to make their own decisions? In other terms, how autonomous will be autonomous cars, once they reach the so-called ‘fifth level of autonomy’? 樂
Spindox is involved in 2 different research programs working on this question. We will give our vision for the mid-term scenario, from both a technical and a business perspective: architectural view, industry role, sourcing and delivery strategies. More specifically, we are presenting a proposed model for the data layer within this architecture, that addressed most of foreseen technical issues
Questions?
Join the conversation at @dovuapi or DM arwen@dovu.io.
Summary
Moving from A-B is slowly being revolutionised through data. Car-sharing and ride-hailing are just the beginning. Thousands of connected devices are currently monitoring data points, and although stand-alone analysis can be useful, true innovation occurs when these data sets are combined to transform into something new.
In the near future, IoT data explosion and the API revolution will collide to change city planning, urban movement and the role of the car in the 21st century.
- First off, we set out to understand what big data means in the context of transportation, answering questions such as what is it, where is it coming from, and what can you do with it.
- Next, we'll zoom out and apply these learning to transport innovation in a wider context, considering how it will influence concepts such as urban movement, social mobility, and quality of life.
- Finally, we'll discuss the relationship between open data and innovation.
Local motors Awesome System - A smart autonomous upgradable vehicles systemDamien DECLERCQ
Following the "Urban Mobility Challenge: Berlin 2030" we have gathered a lot of interest for the Berlino concept. Here is the introduction of the AWESOME System, an autonomous vehicles system.
Local Motors Awesome System is a self optimized sustainable autonomous vehicle system.
It is safe, affordable and enable new business models.
Join the mobility revolution.
(V3.0)
ARTIFICIAL INTELLIGENCE (AI) ENABLED TRANSPORTATION - DISRUPTING AND OPTIMIZI...OliviaThomas57
Transport in developing or emerging markets often faces severe challenges due to growing populations, urbanization, poor infrastructure, and rising prosperity in some regions, increasing cargo volumes, vehicle traffic, and pollution
(New) Business models shaping future mobilityJosep Laborda
The "as a Service" paradigm coming to mobility, MaaS, insights on the market and drivers for MaaS and some hints on factors that will drive MaaS, such as cooperation among stakeholders, electrification, autonomous driving and the sharing economy.
Orchestrated Mobility - Changing the way we move (Barclays Ai Frenzy)John Fagan
Presentation for Barclays Ai Frenzy at UEA.
By late 2030, its predicted that 95% U.S. passenger miles travelled will be served by on-demand vehicles owned by fleets, not individuals, in a new business model Transport-as-a-Service (TaaS) or Mobility-as-a-Service (Maas).
Citizens will pay a monthly fee to go anywhere they wish, much like we do today using on demand services for music and video, like Spotify and Netflix.
TaaS will unify public, private & autonomous transportation into an efficient service and is predicted to deliver a largely carbon-free road transportation system.
Some quotes from RethinkX report
The system will offer the best possibilities to support lateral structures related with:
IOT (internet of things) , M2M (Machine to Machine) & System of Systems
Berlin Hackaton MaaS Business Models by Comtrade Digital ServicesJosep Laborda
Full weekend design thinking and developing ideas spent in Berlin with students, entrepreneurs and fellow industry colleagues to figure out how urban mobility will look like in the future. No coding, only hacking our well-stablished cliches and painpoints regarding mobility for the better!
Four trends of intelligent transportation system technology -- C&T RF Antenna...Antenna Manufacturer Coco
The overall trend of the development of intelligent transportation technology mainly includes four aspects: accurate perception of traffic operation situation and intelligent control, intelligent vehicle control and coordinated control of pedestrians, vehicles, and roads, and integrated intelligent transportation services based on mobile Internet development of.
Future mobility: potential impacts on service stationsJosep Laborda
New mobility trends will have a profound impact not only in the way users move (or, we should say, how users access / consume mobility), but will transform how users interact with the different players in the mobility ecosystem – vehicles/automakers, service providers, insurance companies, …, and service stations. Implications are manifold: technical, business-related, legal. This presentation revolves around technical and business implications, discussing how the so-called Daimler's CASE paradigm - standing for vehicles becoming more and more Connected, Autonomous, allowing flexible use (Shared & Services) and having Electric drive systems - will have an impact on service stations, not to be considered merely “filling stations” anymore, but “mobility hubs” serving different mobility needs from conventional users - that is, drivers, or passengers -, and CAVs. Service stations will ultimately become a central node in an IoT-enabled mobility world, and the presentation will tackle how the digital tsunami enabling MaaS, blockchain and other cutting-edge technology developments will shape the future of this business.
Tech & Transit Oriented Development - The New TODLisa Nisenson
Shared use mobility & autonomous vehicles are reshaping access to transit. This presentation shows how walking, biking & transit are still transportation's backbone, and how AVs + active form new opportunities for cities of all sizes.
Most cars are now equipped with intelligent assistance systems. However, the connection of vehicles to each other, to traffic lights, congestion warning systems and infrastructure is still in its infancy. Connected Mobility is a key future market that holds many pitfalls. In this regard, the automotive sector can benefit from the methods of Corporate Foresight.
Local motors Awesome System - A smart autonomous upgradable vehicles systemDamien DECLERCQ
Following the "Urban Mobility Challenge: Berlin 2030" we have gathered a lot of interest for the Berlino concept. Here is the introduction of the AWESOME System, an autonomous vehicles system.
Local Motors Awesome System is a self optimized sustainable autonomous vehicle system.
It is safe, affordable and enable new business models.
Join the mobility revolution.
(V3.0)
ARTIFICIAL INTELLIGENCE (AI) ENABLED TRANSPORTATION - DISRUPTING AND OPTIMIZI...OliviaThomas57
Transport in developing or emerging markets often faces severe challenges due to growing populations, urbanization, poor infrastructure, and rising prosperity in some regions, increasing cargo volumes, vehicle traffic, and pollution
(New) Business models shaping future mobilityJosep Laborda
The "as a Service" paradigm coming to mobility, MaaS, insights on the market and drivers for MaaS and some hints on factors that will drive MaaS, such as cooperation among stakeholders, electrification, autonomous driving and the sharing economy.
Orchestrated Mobility - Changing the way we move (Barclays Ai Frenzy)John Fagan
Presentation for Barclays Ai Frenzy at UEA.
By late 2030, its predicted that 95% U.S. passenger miles travelled will be served by on-demand vehicles owned by fleets, not individuals, in a new business model Transport-as-a-Service (TaaS) or Mobility-as-a-Service (Maas).
Citizens will pay a monthly fee to go anywhere they wish, much like we do today using on demand services for music and video, like Spotify and Netflix.
TaaS will unify public, private & autonomous transportation into an efficient service and is predicted to deliver a largely carbon-free road transportation system.
Some quotes from RethinkX report
The system will offer the best possibilities to support lateral structures related with:
IOT (internet of things) , M2M (Machine to Machine) & System of Systems
Berlin Hackaton MaaS Business Models by Comtrade Digital ServicesJosep Laborda
Full weekend design thinking and developing ideas spent in Berlin with students, entrepreneurs and fellow industry colleagues to figure out how urban mobility will look like in the future. No coding, only hacking our well-stablished cliches and painpoints regarding mobility for the better!
Four trends of intelligent transportation system technology -- C&T RF Antenna...Antenna Manufacturer Coco
The overall trend of the development of intelligent transportation technology mainly includes four aspects: accurate perception of traffic operation situation and intelligent control, intelligent vehicle control and coordinated control of pedestrians, vehicles, and roads, and integrated intelligent transportation services based on mobile Internet development of.
Future mobility: potential impacts on service stationsJosep Laborda
New mobility trends will have a profound impact not only in the way users move (or, we should say, how users access / consume mobility), but will transform how users interact with the different players in the mobility ecosystem – vehicles/automakers, service providers, insurance companies, …, and service stations. Implications are manifold: technical, business-related, legal. This presentation revolves around technical and business implications, discussing how the so-called Daimler's CASE paradigm - standing for vehicles becoming more and more Connected, Autonomous, allowing flexible use (Shared & Services) and having Electric drive systems - will have an impact on service stations, not to be considered merely “filling stations” anymore, but “mobility hubs” serving different mobility needs from conventional users - that is, drivers, or passengers -, and CAVs. Service stations will ultimately become a central node in an IoT-enabled mobility world, and the presentation will tackle how the digital tsunami enabling MaaS, blockchain and other cutting-edge technology developments will shape the future of this business.
Tech & Transit Oriented Development - The New TODLisa Nisenson
Shared use mobility & autonomous vehicles are reshaping access to transit. This presentation shows how walking, biking & transit are still transportation's backbone, and how AVs + active form new opportunities for cities of all sizes.
Most cars are now equipped with intelligent assistance systems. However, the connection of vehicles to each other, to traffic lights, congestion warning systems and infrastructure is still in its infancy. Connected Mobility is a key future market that holds many pitfalls. In this regard, the automotive sector can benefit from the methods of Corporate Foresight.
Connected Lives: Where Smart Vehicles Meet the Intelligent RoadCognizant
The digital highway promises to enable an ever-expanding ecosystem encompassing intelligent transportation systems, smart cities and logistics systems, optimizing productivity and performance for businesses and individuals.
Modern Transport problems arise when it is difficult behavior in A system according to the best possible pattern, being affected by traffic, human errors or accidents. In such cases, unpredictability can be helped by AI SERVICES
Intelligent roads will be the bedrock of all future road transport, as vehicles become more intelligent. This is necessary to ensure safety and energy-efficiency.
AI is revolutionising the transport industry. From safety to speed, AI is redefining the way we commute.
Sensors
Safe transport
data
logistics
feedback
passengers
commuters
drivers
Techniques for Smart Traffic Control: An In-depth ReviewEditor IJCATR
Inadequate space and funds for the construction of new roads and the steady increase in number of vehicles has prompted
scholars to investigate other solutions to traffic congestion. One area gaining interest is the use of smart traffic control systems (STCS)
to make traffic routing decisions. These systems use real time data and try to mimic human reasoning thus prove promising in vehicle
traffic control and management. This paper is a review on the motivations behind the emergence of STCS and the different types of
these systems in use today for road traffic management. They include – fuzzy expert systems (FES), artificial neural networks (ANN)
and wireless sensor networks (WSN). We give an in depth study on the design, benefits and limitations of each technique. The paper
cites and analyses a number of successfully tested and implemented STCS. From these reviews we are able to derive comparisons of
the STCS discussed in this paper. For instance, for a learning or adaptive system, ANN is the best approach; for a system that just
routes traffic based on real time data and does not need to derive any data patterns afterwards, then FES is the best approach; for a
cheaper alternative to the FES, then WSN is the least costly approach. All prove effective in traffic control and management with
respect to the context in which each of them is used.
Smart Road Technology for Traffic Management and ITS Infrastructure Assessmen...IJAEMSJORNAL
This technical work describe infrastructure requirement and the working principles and procedures involved in operation of a Smart Road. A Smart Road is similar to a conventional highway but the difference is, it is equipped with the electronic gadgets required to capture static and dynamic physical entities occupied on the road at a given time and location. Nowadays traffic safety and highway congestion has become a serious concern to the Authorities and required to be managed them within the available resources. Also it is not possible to increase the capacity of highway infrastructure to compete with increase in traffic. In cities on highway system, large amount of traffic data being generated and an integrated approach is required for the efficient management transportation system. Smart Road is an innovative approach wherein Information Communication Technologies (ICT) is merged with traditional infrastructure and integrated with digital technologies. Critical examination of literature review reveals that many technologies are available for data capturing and management. Notable among them are by using ultrasonic sensors, light sensors, motion sensors, camera and IOT devices. The data collected by the devices would be managed through cloud computing and big data analytic methods. To assess the current traffic situation spot speeds and traffic volumes are captured for peak and non-peak on the Express Highway and from the data captured 85th percentile speed and LoS are estimated. Smart road technology is discussed for transportation system management. And IT infrastructure requirement for capturing traffic related data demonstrated for the selected road in Muscat.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2017-embedded-vision-summit-bunger
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Mark Bünger, VP of Research at Lux Research, presents the "Automakers at a Crossroads: How Embedded Vision and Autonomy Will Reshape the Industry" tutorial at the May 2017 Embedded Vision Summit.
The auto and telecom industries have been dreaming of connected cars for twenty years, but their results have been mediocre and mixed. Now, just as a potentially costly standards battle looms between DSRC and 5G wireless communications technologies, those technologies may be leapfrogged by embedded vision – enabled by the combination of rapidly advancing image sensors, machine vision algorithms, and embedded AI chips. These technologies are not just changing the car itself; they enable new driving patterns and business models that are fueling new competitors and transforming the industry.
Role of ai in mobile application development venkat k - mediumusmsystem
Artificial intelligence, as a new technology field has already gained tremendous momentum and popularity across all the digital niches. From the conversational chatbots to data analytics to the user experience design, AI is now being used for an array of niche purposes.
Top 3 improvements that made by ai in logistics venkat k - mediumusmsystem
There’s no other way to describe it: Artificial Intelligence (AI) is revolutionizing the world of logistics. That may seem like a cliché, or hype, or buzz, but it is true.
The tech is fundamentally changing the way packages move around the world, from predictive analytics to autonomous vehicles and robotics. Here are the top five ways in which Artificial Intelligence is transforming the logistics industry as we know it:
How many ways to use ai for mobile app development venkat k - mediumusmsystem
Over the past decades, computer technology has been developing with an extremely high exponential rate. Humanity develops the power of computer systems implementing their application into all spheres of our daily life (production, education, medicine, economics, etc.) using devices.
How many ways to use ai for mobile app development venkat k - mediumusmsystem
Over the past decades, computer technology has been developing with an extremely high exponential rate. Humanity develops the power of computer systems implementing their application into all spheres of our daily life (production, education, medicine, economics, etc.) using devices.
How ai technology is changing stock market investors smarterusmsystem
In many ways, AI and finance are made for each other. Machine learning and other techniques make it easier to identify patterns that might otherwise not be detected by the human eye, and finance is quantitative, to begin with, so that it’s hard not to find traction.
Role of artificial intelligence and machine learning in speech recognitionusmsystem
The science of speech recognition has come a long way since 1962. The technology has developed, speech recognition has become progressively implanted in our everyday lives with voice-driven apps like Amazon’s Alexa, Apple’s Siri, Microsoft’s Cortana, or the many voice-responsive features of Google. From our phones, computers, watches, and even our refrigerators, each new voice-interactive device that we bring into our daily lives extends our need for artificial intelligence (AI) and machine learning.
Artificial intelligence in insurance 3 trends - venkat k - mediumusmsystem
Trends that business leaders need to be aware of. In this article we will look at three key ways to drive savings for insurance carriers, brokers and policyholders, and enter into the transformations in the insurance industry
Rpm to transform healthcare services venkat k - mediumusmsystem
New-age theories such as the Internet of Medical Things (IoMT), Artificial Intelligence (AI), and Big Data analytics are starting up new cases for remote patient monitoring (RPM).
5 benefits that ai gives to cloud security venkat k - mediumusmsystem
As cyber threats become more exceptional with each passing year, so should the technologies that businesses achieve to advance cybersecurity and prevent cyberattacks and data exposures.
Top 3 american banks using artificial intelligence venkat k - mediumusmsystem
The tech companies want to get the limelight on the cutting-edge of technology, AI in banking and other aspects of the financial sector is telling the sign of enthusiasm and appropriation among the banking authorities.
Usa public sector ai opportunity report venkat k - mediumusmsystem
The United States Government has given great efforts to spend in and use artificial intelligence in response to the developing power of China, and developing capabilities of AI across industries.
5 ways to enhance your business using ai venkat k - mediumusmsystem
“Artificial intelligence (AI)” is fast becoming a competitive tool in business. Companies have been discussing the pros and cons of AI in the past. From enhanced chatbots to customer service to data analytics to recommendations, deep learning and artificial intelligence are seen as an important tool for business leaders in their many forms.
How artificial intelligence will improve our transportation systemusmsystem
Artificial intelligence has been a distant dream for decades, but recent advances in Artificial Intelligence have shown that we can soon use it to solve some of society’s biggest problems.
Artificial intelligence role in customer service venkat k - mediumusmsystem
Customer experience should always be top-notch for any business. Keeping existing customers happy will result in better returns for businesses than constantly finding new customers. Continuous advances in technology are giving companies additional tools and resources to change customer service interactions, provide better response time, and increase the quality of the interaction.
Alexa could become emotionally intelligent venkat k - mediumusmsystem
Amazon issued a patent last week for a new technology that enables Alexa to track consumers’ physical, emotional, and behavioral states. This technology allows Alexa to detect audible cues, such as cough or tone, how the user is feeling, emotionally or physically, and provide responses based on that information.
5 ways to enhance your business using ai venkat k - mediumusmsystem
Artificial intelligence (AI) is fast becoming a competitive tool in business. Companies have been discussing the pros and cons of AI in the past. From enhanced chatbots to customer service to data analytics to recommendations, deep learning and artificial intelligence are seen as an important tool for business leaders in their many forms.
Artificial intelligence in racing cars venkat k - mediumusmsystem
The DeepReser League, developed by Amazon.com Inc.’s Amazon Web Services Cloud Business, is a branch of AI called Reinforcement Learning. In this type of Ai services, algorithms learn the right way to perform an action based on trial-and-error and observation. This technique differs from the type of AI commonly used in business called supervised learning, in which the algorithms are fed with trained data to learn how to detect images or make predictions. Here, cars supply their own data: images collected with cameras.
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.
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/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
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.
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.
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.
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
Traffic signals work with artificial intelligence venkat k - medium
1. 5/12/2020 Traffic signals work with Artificial Intelligence - venkat k - Medium
https://medium.com/@venkat34.k/traffic-signals-work-with-artificial-intelligence-c20cf4e9e7bc 1/2
Tra c signals work with Arti cial Intelligence
venkat k
Nov 15, 2019 · 2 min read
In U.S Drivers add 81 extra hours to their arrival each year due to traffic. The other U.S.
cities are also worse, these cities are known for difficult driving conditions with hills,
bridges, and bikers.
Diverse road conditions cause heavy traffic, but companies like Uber are coming to
Pittsburgh to test autonomous vehicles. If traffic technology could work in Pittsburgh, it
could work almost anywhere. And, besides the AV, that traffic technology includes an AI
system called Sertrack, which allows traffic lights to be adapted to traffic conditions
without having to rely on pre-programmed wheels.
At Surtrack installed lights, the team behind the system estimated that travel time was
reduced by 25%, braking by 30%, and idle by more than 40%. It costs about $ 20,000 to
2. 5/12/2020 Traffic signals work with Artificial Intelligence - venkat k - Medium
https://medium.com/@venkat34.k/traffic-signals-work-with-artificial-intelligence-c20cf4e9e7bc 2/2
wire up and install Surtrack at the intersection.
Sertrack works by tracking traffic and creating attendance models. First, hardware
including a computer, camera, or radar device is installed at the intersection. Our track
can then see cars coming from all directions to the intersection. The computer runs a
predictive model and uses it to create a signal timing plan in real-time. Through
communication with the below models, the processing is done in a way that creates a
local plan from multiple data sources. Each intersection controls its own traffic, but by
communicating the expected flows to neighboring intersections, those intersections can
better prepare for incoming traffic.
Our track, which began as a project at Carnegie Mellon, was piloted in 2012 at 12 high-
volume intersections. It now has another 150 at 50 intersections, a grant from the
Federal Highway Administration. In 2015, the project started from Carnegie Mellon as a
company called Rapid Flow Technologies.
Adjusting to the system gives pedestrians maximum waiting time at the lights.
Researchers and students at Carnegie Mellon are working on a side project to create a
mobile phone app to communicate with lights for disabled people who need more time
to cross the street. The system is fully automated but can be pulled up in real-time in real
time if desired or needed. However, Smith said they don’t really expect people to
intervene manually.
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