Voice Agentic AI
Voice Agentic AI (VAAI) the next logical evolution of chatbots bringing together the power of the likes of ChatGPT models with the convenience and accessibility of natural human conversation. VAAI can provide for immediate scale up of call centre capacity without putting undue load on human call handlers and / or embarking on an elongated (and often costly) call centre recruitment drive 
#VAAI #VTAS #AI #VoiceToAgenticSystem #CustomerService #CRM
Visualising Abstract Ideas with GenAI
Strolling along the beach recently, I found myself pondering the potential of harnessing wave power for electricity generation. Envisioning a machine that harnesses the ebb and flow of waves, I pictured a system utilising linkages, pistons, and turbines to transpose this natural gravitational energy into electricity. Curious about visualising this concept, I turned to Google's Gemini Nano Banana (GenAI) tool to bring my idea to canvas. Observe this collaboration of Human thought, Artificial Intelligence and nature below. 
#GenAI #Gemini #NanoBanana #TidalPower
Bootstrap AGI
Has anyone taken a foundation ML model and then used a Generative Adversarial Network (GAN) approach to manipulate / augment the original foundation model such that it both re-programmes itself in terms of the synapse structure as well as augmenting the original training data (or generating it) with the goal of producing what is humanly defined as “General Intelligence”. The idea being that AI “pulls itself up by its own bootstraps” to design and build its own General Intelligence Model #AI #AGI #GAN #BootstrapAGI
Hamradio AI Enhanced Mode
Is there such a thing as an #AiDSP in #hamradios . I'm thinking that such a radio would use AI to reconstruct sinewaves post ADC sampling (giving more dynamic range or overcoming Nyquist requirements) and to then also be used in the realm of signal de-modulation that would use AI to "predict" what the missing information was ...I've thought about this before in the context of #FMDX and using AI to boost the reconstruction of PI Codes based on the characteristics of the received transmitted signal and the RDS bitstream whether that be an error free bitstream or not i.e. Generative AI for radio signals and the then subsequent de-modulation of the audio and / or data #hamradio #GenAi
Is it worth trying a bit of #vibecoding to see if AI could write such a thing… (all feels a bit meta now)
As for creating the training dataset required to build such an AI model for say the decoding of SSB signals, you could take the English language dictionary, run it word-by-word through a speech synthesiser and then into a DSP SSB signal generator …so that you end up with a training set of data that has both the modulated SSB waveform along with the associated English language word. This new Radio “AI enhanced” mode has the potential to be of particular use for aurora scatter (when speech is garbled), as well weak signal work.
Aurora Meets Ironbridge Gorge: AI Creativity in Action
Blending Art and Technology I created a unique image by combining my Aurora photo from Iceland with Ironbridge Gorge in Telford—two memories, fused in Photoshop. Using this as an AI test case, Grok 2 generated a stunning recreation (from a suitable GenAI prompt) that matched my vision. Taking it further, I animated the original static photoshop image with Grok's Imagine AI video engine, bringing the photo fuse Aurora to life over Ironbridge. This experiment shows how GenAI can empower creativity—speeding up workflows, sparking new ideas, and making artistic innovation more accessible than ever. The future of creative industries is here, and it’s brighter than ever! #AIart #GenAI #Aurora #IronbridgeGorge #Creativity #Innovation
AI and Green Energy
As the world accelerates its shift towards generating electricity from #renewable sources like #solar and #wind power, a #surplus of energy is becoming more prevalent. This surplus energy presents an opportunity for a potential new form of #commerce: that of stored, transported and traded electricity.
One innovative solution to tackle excess energy on days when generation surpasses demand could involve utilizing #battery #storage systems on standby vehicles such as lorries and cargo ships. These mobile units could efficiently store the surplus electricity, acting as mobile charging points for electric vehicles or #transporting the stored energy to locations where it is needed the most (then plugging in to the destinations electricity grid).
This concept could #revolutionize the energy sector, paving the way for a global market in stored electricity. By leveraging these mobile storage solutions, excess renewable energy can be effectively utilized and distributed to areas requiring additional (and potentially cost effective) power. This innovative approach not only addresses the challenge of energy surplus but also contributes to greater efficiency and sustainability in the utilization of renewable resources from around the #world. 
Prevent AI feedback (model breakdown)
When it comes to speaker systems, nobody enjoys the sound of feedback loops. The same goes for AI models. To prevent AI feedback (model breakdown), it's crucial to label all Generative AI content appropriately as #GeneratedByAI. This will provide AI foundation models with the ability to filter out AI Generated context from their training datasets, this will maintain input purity and improve overall performance. #AIPurity #AITrainingData 
Green and AI
Going green can be easier than you think. Consider opting for affordable, carbon-neutral sources to fuel your AI and machine learning models. Sustainability is within reach! #GreenTech #Sustainability #AI #MachineLearning
Green Energy
When faced with excessive sunlight or strong winds, there's a chance to offer discounted green energy. This energy can efficiently fuel data centers, aiding in training neural networks and running machine learning models. This approach not only reduces costs but also minimizes CO2 emissions when compared to business as usual practices. #AI #Sustainable #GreenEnergy #EthicalAI >
My AI Rover
Check out my upgraded AI rover, now equipped with the latest Raspberry Pi AI camera! Watch it as it navigates and performs object detection in stunning realtime footage up close and then from an aerial view:
Using AI to Forecast Tropo and SpE
Has anybody thought about using #AI to produce #tropospheric forecasts and / or daily #SporadicE probabilities? by training a machine learning model with past DX events joined to weather and solar datasets? …and then predicting future conditions based on realtime data using space & earth weather forecast datasets? #hamradio this could the be plugged into a chatbot whereby you could prompt it with questions such as “will there be DX today in #Telford and can you draw me a map of the paths I could expect and the directions to point my beam with the times colour coded. Could you also setup some scheds for me with stations I have contacted before along the predicted paths using my online logbook”
GenAI Test Case
The following photo is an image I created in photoshop to combine one of my Aurora photos from Iceland with an image I took a few years earlier, of the Ironbridge Gorge. I was motivated to create this image as it's become one of my AI test cases to demonstrate (or otherwise) how far AI image creation has developed.
At time of writing (2024) Artificial Intelligence can still not "create me a picture of the Ironbridge Gorge in Telford with the Aurora Borealis behind it" and look anything like the image above.
At the end of 2024 I’m happy to report that the Grok 2 AI model generated me an image which passed this test and produced a very aesthetically pleasing image of the Ironbridge Gorge in Telford, with the Aurora behind it. Nice!