On how new IT frontiers will impact everyday life: the NECSTLab example

•

0 likes•198 views

Talk at the Brera Design Days 2019 in the "Design Your Creativity" session. http://living.corriere.it/tendenze/design/brera-design-days-2019/?refresh_ce-cp

Technology

NECST Summer Workshop 2017
Marco D. Santambrogio
<marco.santambrogio@polimi.it>
Politecnico di Milano
On how new IT frontiers will impact
everyday life: the NECSTLab example
An AI talk from a non AI guy
www.necst.it | Facebook: @NECSTLab | Twitter: @necstlaboratory | YouTube: NECSTLab
Milano Luiss Hub for
makers and students
Oct 5, 2019

NECST Summer Workshop 2017
Marco D. Santambrogio
<marco.santambrogio@polimi.it>
Politecnico di Milano
An AI talk from a non AI guy
www.necst.it | Facebook: @NECSTLab | Twitter: @necstlaboratory | YouTube: NECSTLab
Milano Luiss Hub for
makers and students
Oct 5, 2019

Barbara Regini
barbie.loschiaccianoci @ Facebook

20
LITTLE…
LITTLE+big
LITTLE+big and heterogeneous

Data Environment
Output - Environment Update
Classical Solution

Data DataEnvironment Environment
Output - Environment Update
Output - Environment Update
Classical Solution Adaptive Solution
31

Data DataEnvironment Environment
Output - Environment Update
Output - Environment Update
Classical Solution Adaptive Solution
32

Data DataEnvironment Environment
Output - Environment Update
Output - Environment Update
Classical Solution Adaptive Solution
33

Data DataEnvironment Environment
Output - Environment Update
Output - Environment Update
Classical Solution Adaptive Solution
34

Data DataEnvironment Environment
Output - Environment Update
Output - Environment Update
Classical Solution Adaptive Solution
35

Data DataEnvironment Environment
Output - Environment Update
Output - Environment Update
Classical Solution Adaptive Solution
36

Data DataEnvironment Environment
Output - Environment Update
Output - Environment Update
Classical Solution Adaptive Solution
37

Data DataEnvironment Environment
Output - Environment Update
Output - Environment Update
Classical Solution Adaptive Solution
38

Data DataEnvironment Environment
Output - Environment Update
Output - Environment Update
Classical Solution Adaptive Solution
39

https://www.brmh.net/services/respiratory-care/lung-cancer-screening/

LuCIFEx: a diagnostic support tool for lung cancer early
detection and characterisation, based on the combination of
current imaging technologies and Machine Learning techniques.

ThermoSense
A Data-driven HVAC control system for managing thermal control in
shared indoor environments

WEMoS - Wearable Emotion Monitoring System
An emotions recognition system based on the combination of
video/imaging processing and Machine Learning techniques.

Anxiety:
511 million sufferers in the world
(7.3% of the world
population)1
Bipolarity:
60 million sufferers in the world
(0,86% of the world
population)2
[2] Collected data form World Health Organization [www.who.int/mediacentre/factsheets/fs396/en/]
[Image - http://www.facegood.org/wp-content/uploads/2016/05/solitudine.jpeg]
Depression:
350 million sufferers in the world
(5% of the world
population)2
[1] [http://www.futurity.org/globally-1-in-13-suffers-from-anxiety/]

Track your
sleep habits
the
mental
metric
a
Gather Sleep Data
5
● Track sleep habits
● Check the environmental and
biometric data
● Guides you to a better sleep

● Proposes a weekly food journal
● Chosen by your nutritionist
● Changes dynamically
● Guides you to a better nutrition

● Measures training load
● Suggest resting/recovery time
● Provides feedback to the training load/activities
● Guides you to better training habits

84
On how new IT frontiers will impact
everyday life: the NECSTLab example

85
LITTLE+big and heterogeneous
On how new IT frontiers will impact
everyday life: the NECSTLab example

86
LITTLE+big and heterogeneous
On how new IT frontiers will impact
everyday life: the NECSTLab example

87
LITTLE+big and heterogeneous
On how new IT frontiers will impact
everyday life: the NECSTLab example

88
LITTLE+big and heterogeneous
On how new IT frontiers will impact
everyday life: the NECSTLab example

Cite as: Kamel Boulos MN. Towards a successful implementation of game mechanics (gamification) in e-health interventions (updated: 09//2015). In: Baptista TM, Kamel Boulos MN, Rodrigues FM, Rocha A. E-Health, psychology and medicine: the future of a close cooperation (invited symposium). In: Proceedings of the 14th European Congress of Psychology, Milan, Italy, 7-10 July 2015. URL: http://www.ecp2015.it/scientific-program/invited-symposia/ - WebCite cache: http://www.webcitation.org/6YIHINbi0

What can Machine Learning Do and What Does It Mean for the Economy?

Structuralpolicyanalysis

This presentation is part of the Sustainable Management: Tools for Tomorrow (TOO4TO) learning materials. It covers the following topic: Artificial Intelligence and Sustainability (Module 7). The material consists of 3 parts. This presentation covers Part 3. You can find all TOO4TO Modules and their presentations here: https://too4to.eu/e-learning-course/ TOO4TO was a 35-month EU-funded Erasmus+ project, running until August 2023 in co-operation with European strategic partner institutions of the Gdańsk University of Technology (Poland), the Kaunas University of Technology (Lithuania), Turku University of Applied Sciences (Finland) and Global Impact Grid (Germany). TOO4TO aims to increase the skills, competencies and awareness of future managers and employees with available tools and methods that can provide sustainable management and, as a result, support sustainable development in the EU and beyond. Read more about the project here: https://too4to.eu/ This project has been funded with support from the European Commission. Its whole content reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein. PROJECT NUMBER 2020-1-PL01-KA203-082076

Using Multi-User Virtual Worlds for Research and Education

Simon Bignell

Biohackers Summit 2015 - Lifelogging, a new era of Personal Data

Cathal Gurrin

Augmented intelligence pietro_leo_sole24_ore_school

Pietro Leo

Bible Matrix 5_60_Bioengineering and Bionics–Retinal display, bionic eye and ...

wycha

Bible Matrix ⑤: Science & Technology of Jesus Christ with the Holy Spirit Part 2. 42 Miracles of Jesus with the Holy Spirit into Science and Technology Chapter 7. Jesus healed many blind men and a deaf-mutism(deaf & dumb), but how? Verse 1. Current & future cutting-edge science and technology to repair blindness 1-4. Bioengineering/Bionics–Retinal display, bionic eye and electronic eye 1-4-1. University of Washington developed a Virtual Retinal Display 1-4-2. USA/German–Bionic eye will let the acquired blind see 1-4-3. University of Illinois developed a hemispherical electronic eye https://www.youtube.com/watch?v=h8h-zyVjkc0

EMPhASIS - Market Analysis

NECST Lab @ Politecnico di Milano

10 ways people are using 3D printing

MOTC Qatar

From computational Thinking to computational Action - Dr. Hal Abelson, MIT Ap...

CAVEDU Education

Can I Remove This Method? How Live Feedback from the Ecosystem Supports Co-Ev...

ESUG

Nature smart Cities - New technologies for assessing Biodiversity in Cities ...

Alex Gluhak

Lifelogging - A long term data analytics challenge

Cathal Gurrin

A talk delivered at the DBTA workshop on Lifelogging and Long-term Digital Preservation in Lugano, November 2015. The talk introduces lifelogging and the concept of the digital self. It highlights some potential advantages of lifelogging and suggests the technologies that we need to develop (or have developed) to realise these advantages. Finally it concludes with some insights based on my nine years of practitioner experience.

Thesis Studio I - MidtermKelly Nichols

Bio world going digital, 27 March 2015, Ireland

bioflux

Recent advances in synthetic biology open up new possibilities in healthcare, agriculture, chemicals, materials, energy, and bioremediation. With approximated 15bn molecular assays performed per year in biological laboratories, the automation of these procedures is a strong demand by laboratory scientists. Digital Biology is the computer aided programming of biological assays using digital microfluidic biochip (DMFB) devices based on electrowetting on dielectric technology. Digital Biology allows for wide scale automation of laboratory procedures in synthetic biology by improving efficiency between 1000 to 100000 fold compared to manual laboratory work, for the first time enabling wide scale rapid prototyping for the iterative creation of biological systems. We want to develop the Droplet Flux Technology for intricate control of droplets on DMFBs. Droplet Flux will be a combination of an online software suit for researchers to plan experiments, an open source operating system for DMFB devices and wetware kits to perform a wide range of standardized bioassays used in synthetic biology. Provided that yet open safety questions around synthetic biology are resolved, a portable device using Flux Technology could be constructed and its use extended for e.g. environmental monitoring in agriculture or point of care diagnostics for regular citizens.

Mental Health Assistant using LSTM

IRJET Journal

Networked Exponentials

David Orban

We are just at the start exploring the opportunities of the Internet, with 90% or more of the possibilities still unexplored! Over three billion new minds are soon going to connect to the global network. The challenges of decentralization and distribution of previously hierarchical and centralized functions are revolutionizing the design of services. The exponential technologies, with their characteristic unpredictability, are disrupting industries that previously thought themselves immune to the digital revolution. What are the strategies to be able to leverage the new waves of technology? How can we quickly revise experiments creating virtuous circles of evolution? In today's hyper-connected world there are no barriers to entry and the distance between idea and action is reduced to zero!

A day off in the cyberpark – how the growing synergies between nature and tec...

Dr Sue Thomas

A day off in the cyberpark – how the growing synergies between nature and technology will soon affect our workplaces and leisure time Keynote presentation by Dr Sue Thomas, Visiting Fellow, The Media School, Bournemouth University www.suethomas.net Seminar 11: ''Affective Digital Economy: Intimacy, Identity and Networked Realities'' ESRC Seminar Series: Digital Policy: Connectivity, Creativity and Rights Friday November 29 2013, University of Leicester

Measuring Efficiency of Use in a Web-based EMR Developed for Malawi: Lessons ...Gunther Eysenbach

Artificial intelligence and Expert systems by dr. protik.pptx

PROTIKBANIK1

Machine Learning Crash Course 2017 - Genova - DIBRIS - IIT - MIT

Pietro Leo

Mesticheria Team - WiiReflex

NECST Lab @ Politecnico di Milano

Punto e virgola Team - Stressometro

NECST Lab @ Politecnico di Milano

Similar to On how new IT frontiers will impact everyday life: the NECSTLab example

1.WEMoS - Wearable Emotion Monitoring System

WEMoS at NECST

TOO4TO Module 7 / Artificial Intelligence and Sustainability: Part 3

TOO4TO

Using Multi-User Virtual Worlds for Research and Education

Simon Bignell

Biohackers Summit 2015 - Lifelogging, a new era of Personal Data

Cathal Gurrin

Augmented intelligence pietro_leo_sole24_ore_school

Pietro Leo

Bible Matrix 5_60_Bioengineering and Bionics–Retinal display, bionic eye and ...

wycha

EMPhASIS - Market Analysis

NECST Lab @ Politecnico di Milano

10 ways people are using 3D printing

MOTC Qatar

From computational Thinking to computational Action - Dr. Hal Abelson, MIT Ap...

CAVEDU Education

Can I Remove This Method? How Live Feedback from the Ecosystem Supports Co-Ev...

ESUG

Nature smart Cities - New technologies for assessing Biodiversity in Cities ...

Alex Gluhak

Lifelogging - A long term data analytics challenge

Cathal Gurrin

Thesis Studio I - MidtermKelly Nichols

Bio world going digital, 27 March 2015, Ireland

bioflux

Mental Health Assistant using LSTM

IRJET Journal

Networked Exponentials

David Orban

A day off in the cyberpark – how the growing synergies between nature and tec...

Dr Sue Thomas

Measuring Efficiency of Use in a Web-based EMR Developed for Malawi: Lessons ...Gunther Eysenbach

Artificial intelligence and Expert systems by dr. protik.pptx

PROTIKBANIK1

Machine Learning Crash Course 2017 - Genova - DIBRIS - IIT - MIT

Pietro Leo

Similar to On how new IT frontiers will impact everyday life: the NECSTLab example (20)

1.WEMoS - Wearable Emotion Monitoring System

TOO4TO Module 7 / Artificial Intelligence and Sustainability: Part 3

Using Multi-User Virtual Worlds for Research and Education

Biohackers Summit 2015 - Lifelogging, a new era of Personal Data

Augmented intelligence pietro_leo_sole24_ore_school

Bible Matrix 5_60_Bioengineering and Bionics–Retinal display, bionic eye and ...

EMPhASIS - Market Analysis

10 ways people are using 3D printing

From computational Thinking to computational Action - Dr. Hal Abelson, MIT Ap...

Can I Remove This Method? How Live Feedback from the Ecosystem Supports Co-Ev...

Nature smart Cities - New technologies for assessing Biodiversity in Cities ...

Lifelogging - A long term data analytics challenge

Thesis Studio I - Midterm

Bio world going digital, 27 March 2015, Ireland

Mental Health Assistant using LSTM

Networked Exponentials

A day off in the cyberpark – how the growing synergies between nature and tec...

Measuring Efficiency of Use in a Web-based EMR Developed for Malawi: Lessons ...

Artificial intelligence and Expert systems by dr. protik.pptx

Machine Learning Crash Course 2017 - Genova - DIBRIS - IIT - MIT

More from NECST Lab @ Politecnico di Milano

Mesticheria Team - WiiReflex

NECST Lab @ Politecnico di Milano

Punto e virgola Team - Stressometro

NECST Lab @ Politecnico di Milano

BitIt Team - Stay.straight

NECST Lab @ Politecnico di Milano

BabYodini Team - Talking Gloves

NECST Lab @ Politecnico di Milano

printf("Nome Squadra"); Team - NeoTon

NECST Lab @ Politecnico di Milano

BlackBoard Team - Motion Tracking Platform

NECST Lab @ Politecnico di Milano

#include<brain.h> Team - HomeBeatHome

NECST Lab @ Politecnico di Milano

Flipflops Team - Wave U

NECST Lab @ Politecnico di Milano

Bug(atta) Team - Little Brother

NECST Lab @ Politecnico di Milano

#NECSTCamp: come partecipare

NECST Lab @ Politecnico di Milano

NECSTCamp101@2020.10.1

NECST Lab @ Politecnico di Milano

NECSTLab101 2020.2021

NECST Lab @ Politecnico di Milano

TreeHouse, nourish your community

NECST Lab @ Politecnico di Milano

- Silvia Brembati, Product Designer - Benedetta Bolis, Engineering Physics Student Due to the recent COVID-19 outbreak, everybody had to quickly rearrange their lifestyle and learn how to get through isolation. Keeping in touch has never been more compelling and challenging at the same time. A recent survey conducted in Italy, states that 80% of the population felt like they needed psychological support to get through quarantine. We believe that if people had a way to feel surrounded by their friends and had been able to share activities, this number would be significantly lower. This is where our new app TreeHouse comes in handy as it guides the user in contributing to the life of the community: a virtual tree will come to life and thrive thanks to both real-life and online interactions. Sharing content, chatting with friends, or drinking a cup of tea together will make a leaf or a branch grow, but if the user is missing for too long, the tree will suffer from their absence, in complete symbiosis. Nevertheless, checking how the tree develops helps the members feel the actual presence of the community, and makes them able to support each other, letting the tree flourish again.

TiReX: Tiled Regular eXpressionsmatching architecture

NECST Lab @ Politecnico di Milano

- Filippo Carloni, M.Sc. student in Computer Science and Engineering Expressions (REs) are widely used to find patterns among data, like in genomic markers research for DNA analysis, signature-based detection for network intrusion detection systems, or search engines. TiReX is a novel and efficient RE matching architecture for FPGAs, based on the concept of matching core. RE passes into the compilation and optimization phase to be efficiently translated into sequences of basic matching instructions that a matching core runs on input data, and can be replaced to change the RE to be matched.

Embedding based knowledge graph link prediction for drug repurposing

NECST Lab @ Politecnico di Milano

- Edoardo Ramalli, M.Sc. student in Computer Science and Engineering Drug Repurposing is the investigation of existing drugs on the pharmaceutical market for new therapeutic purposes; drug repurposing reduces the time and cost of clinical trial steps, saving years, and billions of dollars in R&D. Identifying new diseases on which a drug can be effective is a complex problem: our approach leverages knowledge graphs (KG), networks composed of many types of entities and relations, on which embedding and graph completion techniques can be applied to infer insights and analyses. Our KG is built from well-known databases such as DrugBank, UniProt, and CTD and contains over one million relationships between more than 70K biological and pharmaceutical entities like diseases, genes, proteins and drugs. In this work, we research the applicability of knowledge graph completion techniques, such as link prediction (and triple classification) using a various number of different embedding models from different families: matrix factorization, geometric and Deep learning. Using these models is possible to infer new drug-disease relationships on our KG, and identify novel drug repurposing candidates. Preliminary experimental results are encouraging and show how state-of-the-art machine learning models, combined with the ever-growing amount of biological data freely available to the research community, could significantly improve the field of drug repurposing.

PLASTER - PYNQ-based abandoned object detection using a map-reduce approach o...

NECST Lab @ Politecnico di Milano

- Daniele Valentino de Vincenti, B.Sc. graduate in Biomedical Engineering @Politecnico di Milano - Lorenzo Farinelli, B.Sc. graduate in Computer Science and Engineering @Politecnico di Milano Plaster is a multi-layered infrastructure (based on C++) aimed at supporting the development of multi-FPGA systems and the management of large data flows between the nodes. In particular, the goal of the project is to provide the end-user with a set of tools (by the means of a Python library and a C++ service) to easily assign bitstreams to nodes and route data between them, in the context of a PYNQ-based cluster suitable for distributed acceleration of computation-intensive tasks. Using this platform, an abandoned objects detection tool is implemented, designed as a Multi-FPGA distributed system exploiting an hardware accelerated version of the YOLO neural network for image detection.

EMPhASIS - An EMbedded Public Attention Stress Identification System

NECST Lab @ Politecnico di Milano

Luns - Automatic lungs segmentation through neural network

NECST Lab @ Politecnico di Milano

- Irene Canavesi, B.Sc. student in Biomedical Engineering - Sara Caramaschi, B.Sc. student in Biomedical Engineering Lung cancer is one of the most frequently diagnosed cancer forms, with a mortality of 84.2% in 2018. Our project focuses on shortening diagnosis time and improving accuracy in the overall detection of this disease. We implemented a convolutional neural network capable of automatically identifying lungs on a CT image. Segmentation is a necessary first step for the development of an algorithm capable of identifying and classifying the tumor mass since errors in the ROI identification can lead to errors in the tumor mass recognition. The network architecture follows the structure of a preexisting network, the U-Net that performs well on medical images. We reached a very good test accuracy of 99.63%: the strength of our work lies in the large number of CT images of both healthy and sick patients, used for the training and validation of the network.

BlastFunction: How to combine Serverless and FPGAs

NECST Lab @ Politecnico di Milano

- Samuele Barbieri, B.Sc. student in Computer Science and Engineering The last decade saw cloud computing more and more involved as the primary technology to develop, deploy and maintain complex infrastructures and services at scale. This happened because cloud computing allows to consume resources on-demand and to dynamically scale performance. Some compute-intensive workloads require computing power that current CPUs are not able to provide and, for this reason, heterogeneous computing with FPGAs is becoming an interesting solution to continue to meet SLAs. However, requests to cloud services can come at unpredictable rates and, for this reason, resources may be underutilized for significant portions of time. To increase resource utilization, we propose BlastFunction, which is a system that allows to accelerate compute-intensive kernels with shared FPGAs handled in a serverless fashion, while reaching near-native execution latency. In this talk we will present the main aspects of BlastFunction, showing its capabilities to time-share FPGAs across multiple function instances to optimize devices utilization. We will also show how we implemented the sharing and orchestration mechanism on a Kubernetes cluster based on the Amazon Web Services (AWS) EC2 F1 instances.

Maeve - Fast genome analysis leveraging exact string matching

NECST Lab @ Politecnico di Milano

- Sofia Breschi, B.Sc. student in Biomedical Engineering - Beatrice Branchini, B.Sc. student in Biomedical Engineering In the last few years, the use of Next Generation Sequencing technology in medicine has become more and more common, in particular for the diagnosis of genetic diseases and the production of personalized drugs. In this context, the identification of characteristic patterns in the human genome plays an important role. Exact pattern matching algorithms are an efficient way to identify those sequences. However, this process represents a bottleneck in the genomic field as it is very computationally intensive and time-consuming. Moreover, general-purpose architectures are not optimized to handle the huge amount of data and operations used in a genomics context. Due to these considerations, we propose an implementation of the Knuth-Morris-Pratt (KMP) algorithm on FPGA, a particular family of integrated circuits capable of reconfiguration for an infinite number of times. The KMP algorithm results in being very fast and efficient, by reducing unnecessary comparisons of characters that have already been matched. Furthermore, to achieve an overall speedup of the alignment process, the implementation on FPGA will bring on an even faster and more efficient solution, thus providing the patient with a quick response.

More from NECST Lab @ Politecnico di Milano (20)

Mesticheria Team - WiiReflex

Punto e virgola Team - Stressometro

BitIt Team - Stay.straight

BabYodini Team - Talking Gloves

printf("Nome Squadra"); Team - NeoTon

BlackBoard Team - Motion Tracking Platform

#include<brain.h> Team - HomeBeatHome

Flipflops Team - Wave U

Bug(atta) Team - Little Brother

#NECSTCamp: come partecipare

NECSTCamp101@2020.10.1

NECSTLab101 2020.2021

TreeHouse, nourish your community

TiReX: Tiled Regular eXpressionsmatching architecture

Embedding based knowledge graph link prediction for drug repurposing

PLASTER - PYNQ-based abandoned object detection using a map-reduce approach o...

EMPhASIS - An EMbedded Public Attention Stress Identification System

Luns - Automatic lungs segmentation through neural network

BlastFunction: How to combine Serverless and FPGAs

Maeve - Fast genome analysis leveraging exact string matching

Recently uploaded

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

Product School

Leading Change strategies and insights for effective change management pdf 1.pdf

OnBoard

Assuring Contact Center Experiences for Your Customers With ThousandEyes

ThousandEyes

Search and Society: Reimagining Information Access for Radical Futures

Bhaskar 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.

GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...

Sri Ambati

To Graph or Not to Graph Knowledge Graph Architectures and LLMs

Paul Groth

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Inflectra

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.

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Thierry Lestable

Connector Corner: Automate dynamic content and events by pushing a button

DianaGray10

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 Parameters

Safe 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.

Designing Great Products: The Power of Design and Leadership by Chief Designe...

Product School

Epistemic Interaction - tuning interfaces to provide information for AI support

Alan Dix

Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024 https://alandix.com/academic/papers/synergy2024-epistemic/ As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.

IOS-PENTESTING-BEGINNERS-PRACTICAL-GUIDE-.pptx

Abida Shariff

FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf

FIDO Alliance

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.

Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf

91mobiles

When stars align: studies in data quality, knowledge graphs, and machine lear...

Elena Simperl

UiPath Test Automation using UiPath Test Suite series, part 3

DianaGray10

Neuro-symbolic is not enough, we need neuro-*semantic*

Frank van Harmelen

Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”. All of this illustrated with link prediction over knowledge graphs, but the argument is general.

Knowledge engineering: from people to machines and back

Elena Simperl

Recently uploaded (20)