What does AI in warfare really look like? What are the possible applications, and how will they be used? Who will use them and who will they be used against? This webinar discussed the future of AI in warfare from a practical standpoint and sought to make explicit how these weapons will be developed, deployed and used—and by whom. Rather than discussing the development of autonomous weapons in technical or logistical terms, this discussion aimed to tease out how autonomous weapons operate within and augment the current geopolitical landscape and what the moral consequences of their deployment might be. Our panelists also discuss what this means for those who work in the field of AI, and what responsibility we all have to ensure that the work we do leads to a more just and equitable future.
Jean-Francois Bonnefon, Toulouse School of Economics, held a keynote, “The Moral Machine Experiment”, at IJCAI-ECAI 2018, the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence, the premier international gathering of researchers in AI.
Day 1 Session 3: Building Morality into Machines
Download the audio at InfoQ: http://bit.ly/2FxY1NG
University of Colorado Boulder 2019 Conference on World Affairs. Thursday, April 11, 2019 in UMC Center Ballroom.
You are a HUGE football fan. Every week you pick winners in an NFL pick-em’ league. Somehow, all that fan experience doesn’t translate into consistently winning your league. Perhaps you need a more systematic approach that takes some of the emotion out of it.
In this video we will understand how we can implement Diabetes Prediction using Machine Learning. The dataset is taken from Kaggle.
Check out my follow-up video where I explain how some financial market crashes can be predicted:
UNSW Professor of Artificial Intelligence Toby Walsh explains how artificial technologies can be used make society more inclusive – but can also be misused.
• Professor Toby Walsh, Scientia Professor of Artificial Intelligence, UNSW Sydney and Data61
• Kathy Baxter, User Research Architect, Salesforce
• Jake Lucchi, Head of Content and AI, Public Policy and Government Relations, Google Asia Pacific
On this episode of the Strategy & Leadership Podcast, Dan Faggella joins us to discuss why leaders should care about artificial intelligence, how to manage the change around AI, the ROI of AI, and more.
(Visit: http://www.uctv.tv/) Back in the 1990s, Jeffrey Hawkins became both rich and famous when he invented the Palm Pilot—a device that in no small way ushered in a whole new era of mobile computing. These days, though, he’s on a far more ambitious mission. His goal: to build a machine that can think and reason on its own by mimicking the workings of the human brain. In this edition of Up Next, Hawkins opines on the both risks and rewards of artificial intelligence. Series: “Up Next: Perspectives on the Future of Everything” [5/2015] [Science] [Show ID: 29526]
📚 Order Michael Sandler’s “Automatic Writing Experience” book:
Elon Musk is on the record stating that artificial superintelligence or ASI could bring the end of the human race. Elon has publicly expressed concern about AI many times now. He thinks the advent of a digital superintelligence is the most pressing issue for humanity to get right.
Sophia the AI Robot Says The Darndest Things! HAS THE SINGULARITY HAPPENED? Artificial Intelligence
Chinese artificial intelligence company Shanghai Zhizhen Intelligent Network Technology Co., Ltd., also known as Xiao-i, has filed a lawsuit against Apple Inc, alleging it has infringed on its patents.
** Machine Learning Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This Edureka session on Applications Of Artificial Intelligence in 2021 will help you understand how AI is impacting various domains such as banking, marketing, healthcare and so on.
Following are the topics covered in this video:
0:52 AI In Artificial Creativity
2:06 AI In Social Media
3:16 AI In Chatbots
4:29 AI In Autonomous Vehicles
6:08 AI In Space Exploration
7:06 AI In Gaming
8:43 AI In Banking & Finance
10:33 AI In Agriculture
11:53 AI In Healthcare
12:55 AI In Marketing
Namaskaar Dosto, is video mein maine aapse AI ke baare mein baat ki hai aur discuss kiya hai ki hum AI ko kaha kaha normally use karte hai aur kaise yeh hamare liye kaam aa rahi hai. AI ek powerful tool hai jiski mada se hum kaafi kaam behtar tareeke se kar sakte hai. Mujhe umeed hai ki aapko Artificial Intelligence ke baare mein yeh video pasand aayegi.
In this exciting and third event in our 2021 community building series, utilities presented data-related challenges and AI companies and organizations responded with potential solutions and collaboration opportunities for future research and development. The event also featured keynotes from EPRI, universities and national labs, and AI leaders; and panels, breakout sessions, and fireside chats. Learn more about how EPRI is convening the AI and electric power industries by visiting http://www.ai.epri.com.
FEops HEARTguide, going beyond traditional procedure planning for structural heart interventions
4D Volumetric Asset Mapping, Digital Twins and AI
Presenter: Peter Atalla, VoxelMaps
Digitalisation of construction industry are giving a sense of how sustainable buildings can be built in cheaper, greener and shorter timeframe. In this event, we will discuss the concept of digital twins and the integration of artificial intelligence in construction industry. The benefits of digital twin and artificial intelligence in construction industry will be shared as well.
Azure Digital Twins lets you model assets and environments ranging from factories, buildings, stadiums, and even cities and gain insights from previously disparate devices and business systems.
The aim of the project is about the detection of the emotions elicited by the speaker while talking. As an example, speech produced in a state of fear, anger, or joy becomes loud and fast, with a higher and wider range in pitch, whereas emotions such as sadness or tiredness generate slow and low-pitched speech. Detection of human emotions through voice-pattern and speech-pattern analysis has many applications such as better assisting human-machine interactions. In particular, we are presenting a classification model of emotion elicited by speeches based on deep neural networks (CNNs), SVM, MLP Classification based on acoustic features such as Mel Frequency Cepstral Coefficient (MFCC). The model has been trained to classify eight different emotions (neutral, calm, happy, sad, angry, fearful, disgust, surprise). Our evaluation shows that the proposed approach yields accuracies of 86%, 84%, and 82% using CNN, MLP Classifier and SVM Classifiers, respectively, for 8 emotions using Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) dataset and Toronto Emotional Speech Set (TESS) Dataset.
This video contains stepwise implementation for training dataset of “Face Emotion Recognition or Facial Expression Recognition” using Transfer Learning in Tensorflow-Keras API
When we think of the future of technology, we often imagine gadgets that will make us go faster. But some of the truly exciting developments will be around gadgets that help us with the tricky aspects of our emotional lives. If you like our films take a look at our shop (we ship worldwide): http://www.theschooloflife.com/shop/all/
With the Deep Learning scene being dominated by three main frameworks, it is very easy to get confused on which one to use? In this video on Keras vs Tensorflow vs Pytorch, we will clear all your doubts on which framework is better and which framework should be used by beginners, intermediates, and professionals. 🔥Free Deep Learning Course: https://www.simplilearn.com/introduction-to-deep-learning-free-course-skillup?utm_campaign=KerasvsTFvsPytorch&utm_medium=Description&utm_source=youtube
Are Machine Learning Certifications worth it and which are the best ones out there? There are a lot of new machine learning certifications out on the Internet and you might be wondering which one will truly help you land that machine learning or data science role. In this video, I explain in detail exactly how some top machine learning certifications are structured. I also explain which one’s are worth it and why they might be worth it for certain people and why they might not be.
This talk will focus on creating a production machine learning pipeline using TFX. Using TFX developers can implement machine learning pipelines capable of processing large datasets for both modeling and inference. In addition to data wrangling and feature engineering over large datasets, TFX enables detailed model analysis and versioning. The talk will focus on implementing a TFX pipeline and a discussion of current topics in model understanding.
Last year, Databricks launched MLflow, an open source framework to manage the machine learning lifecycle that works with any ML library to simplify ML engineering. MLflow provides tools for experiment tracking, reproducible runs and model management that make machine learning applications easier to develop and deploy. In the past year, the MLflow community has grown quickly: 80 contributors from over 40 companies have contributed code to the project, and over 200 companies are using MLflow. In this talk, we’ll present our development plans for MLflow 1.0, the next release of MLflow, which will stabilize the MLflow APIs and introduce multiple new features to simplify the ML lifecycle. We’ll also discuss additional MLflow components that Databricks and other companies are working on for the rest of 2019, such as improved tools for model management, multi-step pipelines and online monitoring.
Recorded on Mar 23 at GCP NEXT 2016 in San Francisco
Cyber defense is much more than security. “Security” can be misleading since it encourages people to think in terms of secure or insecure. This way of thinking leads to an overemphasis on preventative measures. Just like the human body, you need many more layers than that. A good cyber defense will also focus on deception, detection, and response in addition to prevention. In this video, we cover the four most important principles of cyber defense.
#CyberSecurity #DefenceCyberAgency #MahipalSir
Recorded on June 30, 2021