#CognitiveAI

[spookywhisperomen]

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[qamarulislam]

🧠 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 𝗘𝗘𝗚 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗘𝗠𝗢𝗧𝗜𝗩 𝗜𝗻𝘀𝗶𝗴𝗵𝘁 – 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗖𝗼𝗴𝗻𝗶𝘁𝗶𝘃𝗲 𝗦𝗶𝗴𝗻𝗮𝗹 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴

This week, We have tested the EMOTIV Insight BCI headset in a live desktop setup to capture and analyze a brain activity during regular office work. This was part of our ongoing project of integrating real-time EEG data into applied Artificial Intelligence and Robotics Systems.

🖥️ Setup Summary:

Device: EMOTIV Insight (5-channel EEG)

Software: EmotivPRO & Cortex API interface

Environment: Standard office, single-subject session

Duration: ~15 minutes continuous stream

📊 Data Captured:

Frequency bands: Alpha, Beta, Theta, Gamma

Output: Raw EEG + cortical mapping

Displayed both wave graphs and live 3D brain models

Real-time mental state monitoring (engagement, stress, relaxation)

🎯 Purpose:

To validate signal stability in a non-lab setting

To assess practical use of BCI data for adaptive system design

To explore how these signals can inform feedback loops in robotics, learning tools, and neuro-wellness apps

Next step: Integrating this EEG input with ROS-based robotic control or real-time Unity feedback for neuro-responsive systems.

If you're working on BCI or EEG-driven applications or building cognitive-aware systems, I’d be glad to exchange ideas or collaborate.

📅 Recorded: 10 June 2025 | Time: 1:33 – 1:44 PM

#BCI #EmotivInsight #EEG #CognitiveAI #HumanRobotInteraction #RealTimeData #Neurofeedback #AIResearch #RoboticsAndNeuroscience

[hiteshrivani]

Cognitive AI: A New Approach to Problem Solving in ML

As machine learning continues to evolve, a new frontier known as Cognitive AI is reshaping how machinesis reshaping how machines reason, learn, and interact. Unlike traditional machine learning systems that rely heavily on pattern recognition, Cognitive AI attempts to mimic the way humans think — bringing us closer to true artificial intelligence.

At its core, Cognitive AI incorporates elements of neuroscience, psychology, and linguistics into machine learninginto machine learning. These systems are designed to simulate human cognitive processes such as perception, attention, memory, and reasoning. This enables machines to make better decisions in uncertain or dynamic environments.

One key feature of Cognitive AI is its context awareness . Traditional AI models often struggle with ambiguity or changing inputs. Cognitive systems, however, can adapt to new situations by drawing on past experiences, just like humans do. This makes them especially powerful in fields like finance, healthcare, and autonomous vehicles.

Another area where Cognitive AI excels is in natural language understanding . These systems can comprehend and generate language in a more nuanced and conversational way. They understand context, emotion, sarcasm, and even implied meaning — a significant leap forward from basic chatbots or rule-based assistants.

In sectors like customer service , Cognitive AI is already making a difference. Virtual agents powered by this technology are capable of managing complex interactions with minimal human intervention, learning from every conversation to improve their performance over time.

Cognitive AI also shines in strategic decision-making . For example, in logistics or supply chain management, these systems can process massive datasets, account for variables like weather or market trends, and dynamically adjust plans — all in real-time.

However, building Cognitive AI is not without challenges. It requires massive computational power , robust datasets, and advanced algorithms that go beyond current deep learning techniques. Moreover, maintaining explainability and trust remains a critical concern as systems become more autonomous.

Despite these hurdles, Cognitive AI represents a shift from data-driven intelligence to thought-driven intelligence . As we continue to refine these systems, we're not just teaching machines to think — we're reimagining how intelligence itself can be scaled and applied across industries. Explore more about AI-ML development

#CognitiveAI #MachineLearning #ArtificialIntelligence #AIThinking #AdvancedML

[alejandrofranceschi]

Now, when you #play #startrek #VR by @ubisoft it can now respond to #voicecommand thanks to @ibm #watson + next step is #cognitiveai #videogame #characters + #multiplayer integration. | #videogames #video #vr #htc #htcvive #sf #sanfrancisco (at San Francisco, California)

[tempestdigitalstudios]

The #StarTrek #VR experience can now respond to voice commands, thanks to #IBMWatson + next up are #CognitiveAI game characters with multiplayer integration. Contact me if you're looking to execute projects in VR, whether for game engines or live action (with or without interactivity). https://ift.tt/2v7EUFE Tempest Digital, Inc. https://ift.tt/20RTpXN

[floatbot-ai]

Voicebots are a win-win for businesses as well as customers. They help businesses increase sales, reduce support costs, and increase CSAT scores. And they elevate customer experience, providing 24x7 support to customers and creating hyper-personalized buying experiences.

[aiopsconsulting]

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[aiopsconsulting]

Visit our website for free training videos about #AI, #GenerativeAI, #ResponsiveAI, #CognitiveAI, #ChatGPT and advanced analytics applications across industries and business pains.

[tempestdigitalstudios]

via Twitter https://twitter.com/ajlfx