The document discusses mind reading computers that can summarize a person's mental state by analyzing facial expressions and head gestures using video cameras and machine learning. It can identify features like facial expressions that indicate emotions, thoughts, and mental workload. The technology works by tracking facial feature points and modeling the relationship between expressions and mental states over time. Potential applications include monitoring human interactions, detecting driver states, and developing assistive technologies like mind-controlled wheelchairs. Issues involve ensuring reliability and addressing ethical concerns around predicting future behaviors.
The team in the Computer Laboratory at the University of Cambridge has developed mind reading computers that implement a computational model of mind reading to infer mental states of people from their facial signals.
Using a digital video camera, the mind reading computer system analyzes a person’s underlying mental state, such as whether he/she is agreeing or disagreeing, interested or bored, thinking or confused.
The team in the Computer Laboratory at the University of Cambridge has developed mind reading computers that implement a computational model of mind reading to infer mental states of people from their facial signals.
Using a digital video camera, the mind reading computer system analyzes a person’s underlying mental state, such as whether he/she is agreeing or disagreeing, interested or bored, thinking or confused.
brain gate technology is an wonderful innovation and boon for ppl met with accidents specially SPINAL CORD FAILURE
this "TECHNOLOGY" serves as ray of hope and sunshine in their life
The Blue Brain, a Swiss national brain initiative, aims to create a digital reconstruction of the brain by reverse-engineering mammalian brain circuitry. The mission of the project, founded in May 2005 by the Brain and Mind Institute of the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, is to use biologically-detailed digital reconstructions and simulations of the mammalian brain (brain simulation) to identify the fundamental principles of brain structure and function in health and disease.
It is said that within 30 years we will be able to scan ourselves into computers.
brain gate technology is an wonderful innovation and boon for ppl met with accidents specially SPINAL CORD FAILURE
this "TECHNOLOGY" serves as ray of hope and sunshine in their life
The Blue Brain, a Swiss national brain initiative, aims to create a digital reconstruction of the brain by reverse-engineering mammalian brain circuitry. The mission of the project, founded in May 2005 by the Brain and Mind Institute of the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, is to use biologically-detailed digital reconstructions and simulations of the mammalian brain (brain simulation) to identify the fundamental principles of brain structure and function in health and disease.
It is said that within 30 years we will be able to scan ourselves into computers.
A computer can, in a very real sense, read human minds. Although the dot's gyrations are directed by a computer, the machine was only carrying out the orders of the test subject.
The computer mind-reading technique is far more than a laboratory stunt. Though computers can solve extraordinarily complex problems with incredible speed, the information they digest is fed to them by such slow, cumbersome tools as typewriter keyboards or punched tapes.
Smart Brain Wave Sensor for Paralyzed- A Real Time ImplementationSiraj Ahmed
ABSTRACT
As the title of the paper indicates about brainwaves and its uses for various applications based on their frequencies and different parameters which can be implemented as real time application with the title a smart brain wave sensor system for paralyzed patients. Brain wave sensing is to detect a person's mental status. The purpose of brain wave sensing is to give exact treatment to paralyzed patients. The data or signal is obtained from the brainwaves sensing band. This data are converted as object files using Visual Basics. The processed data is further sent to Arduino which has the human's behavioral aspects like emotions, sensations, feelings, and desires. The proposed device can sense human brainwaves and detect the percentage of paralysis that the person is suffering. The advantage of this paper is to give a real-time smart sensor device for paralyzed patients with paralysis percentage for their exact treatment.
Keywords:-Brainwave sensor, BMI, Brain scan, EEG, MCH.
The world of science cannot be measured in terms of development and progress. It has now reached to the technology known as “Blue eyes technology” that can sense and control human emotions and feelings through gadgets. The eyes, fingers, speech are the elements which help to sense the emotion level of human body.
The basic idea behind this technology is to give the computer the human power. We all have some perceptual abilities. That is we can understand each other’s feelings. For example we can understand ones emotional state by analyzing his facial expression. If we add these perceptual abilities of human to computers would enable computers to work together with human beings as intimate partners.
The “BLUE EYES” technology aims at creating computational machines that have perceptual and sensory ability like those of human beings. This paper implements a new technique known as Emotion Sensory World of Blue eyes technology which identifies human emotions (sad. happy. exalted or surprised) using image processing techniques by extracting eye portion from the captured image which is then compared with stored images of data base.
Thought powered typing is the emerging technology in computer and information technology field. it uses many algorithms and techniques that allows person to type words or phrases by just thinking.it is the technology very useful for paralyzed people.thought powered typing hence is an technology related to brain computer interface that makes computing easier.
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
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
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
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
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/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
4. INTRODUCTION:
People express their mental states, including
emotions, thoughts and desires, all the time through facial
expressions, vocal nuances and gestures. This is true when
they are interacting with machines
Mind reading machine is co-ordination of human
psychology and computer techniques.
Some equipment are used to gather data & then analyzed.
To use those data for further prediction of mind is known as
theory of mind reading.
5. WHAT IS MIND READING?
Drawing inspiration from psychology, computer vision and
machine learning has developed mind reading machine
computers.
Using a digital video camera, the mindreading computer
system analyzes a person’s facial expressions in real time
and infers that person’s underlying mental state.
Prior knowledge of how particular mental states are
expressed in the face is combined with analysis of facial
expressions and head gestures occurring in realtime,its very
use full for future.
6. Software from Nevenvision identifies 24 feature points on
the face and tracks them in real time.
The relationship between observable head and facial
displays and the corresponding hidden mental states over
time is modeled using Dynamic Bayesian Networks.
8. WHY MIND READING?
The mind-reading computer system presents information
about your mental state as easily as a keyboard and mouse
present text and commands.
Current projects in Cambridge are considering further
inputs such as body posture and gestures to improve the
inference.
We are also looking at the use of mind-reading to support
on-line shopping and learning systems.
9. The mind-reading computer system may also be used to
monitor and suggest improvements in human-human
interaction.
The Affective Computing Group at the MIT Media
Laboratory is developing an emotional-social intelligence
prosthesis that explores new technologies to augment and
improve people’s social interactions and communication
skills.
To implement this system in cars to detect driver mental
states such as drowsiness, distraction and anger.
10. HOW DOES IT WORKS?
Futuristic Head Band:
The mind reading actually involves measuring the volume
and oxygen level of the blood around the subjects brain,
using technology called functional near-infrared
spectroscopy(FNIRS).
The user wears a sort of futuristic headband that sends light
in that spectrum into the tissues of the head where it is
absorbed by active, blood-filled tissues.
11. The results are often compared to an MRI, but can be
gathered with lightweight, noninvasive equipment.
Wearing the FNIRS sensor, experimental subjects were
asked to count the number of squares on a rotating onscreen
cube and to perform other tasks.
The subjects were then asked to rate the difficulty of the
tasks, and their ratings agreed with the work intensity
detected by the FNIRS system up to 83 percent of the time.
12. Measuring mental workload, frustration and distraction is
typically limited to qualitatively observing computer users.
A computer program which can read silently spoken words
by analyzing nerve signals in our mouths and throats, has
been developed by NASA.
Preliminary results show that using button sized sensors.
"Biological signals arise when reading or speaking to
oneself with or without actuallip or facial movement”.
15. ADVANTAGES AND USES:
MIND CONTROLLED WHEELCHAIR:
This prototype mind-controlled wheelchair developed from the
University of Electro Communications in Japan.
A little different from the Brain-Computer Typing machine, this
thing works by mapping brain waves when you think about
moving left, right, forward or back, and then assigns that to a
wheelchair.
his device doesn't give you MINDBULLETS (apologies to
Tenacious D) but it does allow people who cant use other
wheelchairs get around easier.
16. The system could send commands to rovers on other
planets, help injured astronauts control machines, or aid
disabled people.
The finding raises issues about the application of such tools
for screeningsuspectedterrorists as well as for predicting
future dangerousness more generally.
The day when computers will be able to recognize the
smallest units in the English language—the 40-odd basic
sounds (or phonemes) out of which all words or verbalized
thoughts can be constructed.
17. DISADVANTAGES AND PROBLEMS:
TAPPING BRAINS FOR FUTURE CRIME:
Using computer algorithms and functional magnetic resonance
imaging, or FMRI, the scientists were able to determine with
70percent accuracy.
Individual brains differ, so scientists need to study a subjects
patterns before they can train a computer to identify those
patterns or make predictions.
In the Dec.19, 2006, issue of The Economist, an article
questioned the scientific validity of the notion of free will:
Individuals with particular congenital genetic characteristics
are predisposed, if not predestined, to violence.
18. Max Planck Institute, neuroscience and bioscience are not at a
point where we can reliably predict human behavior.
Nor is society ready to deal with the ethical and practical
problems posed by a system that classifies and categorizes
people based on oxygen flow, genetics and environmental factors
that are correlated as much with poverty as with future
criminality.
In time, neuroscience may produce reliable behavior
predictions. But until then, we should take the lessons of science
fiction to heart when deciding how to use new predictive
techniques.
19. CONCLUSION:
Tufts University researchers have begun a three-year
research project which, if successful, will allow computers
to respond to the brain activity of the computers user.
Users wear futuristic looking headbands to shine light on
their foreheads, and then perform a series of increasingly
difficult tasks while the device reads what parts of the brain
are absorbing the light. That info is then transferred to the
computer, and from there the computer can adjust it’s
interface and functions to each individual.