I am a strong believer that fate exists. That everything happens for a reason. That the people we have in our lives are in our lives without accident. There is always meaning. Explainable or unexplainable. There is no such thing as luck. We are all here for a purpose. All we have to do is believe.
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Post rating system under cut
Posts are assigned an initial rating with a tag #initial rating: <rating> along with the rating tag. If somebody provides an explanation on why a different rating should apply, I will reblog the explanation and post the adjusted rating with a tag #adjusted rating: <rating> along with the rating tag. The rating tags are as follows:
#trivial - a medieval peasant could explain this post to you should you suffer a head trauma and need help with understanding what's written
#explainable - some things need clarification or a degree of abstraction, but it's otherwise simple to understand
#challenging - you can't explain this post within a single reasonably sized PowerPoint presentation. To the peasant, the post seems to describe something alien, but she is able to fathom a world where it makes sense.
#unlikely - this post requires lived-in experience or heaps of context. In time, you would be able to explain it to the peasant, but without letting her live in our time this post would describe a make-believe.
#h***stuck - you can't explain this post. It cannot be done. It is simply impossible.
Revolutionizing Smart Manufacturing with CausalTrace: An AI Agent for Enhanced Insights
Modern manufacturing faces complex challenges, demanding more than just accurate predictions from artificial intelligence (AI) systems. Operators need to understand why anomalies occur and quickly identify root causes – this is where causal analysis becomes critical. A new neurosymbolic agent, CausalTrace, is…
Explainable AI: A Fuzzy Logic Approach for Big Data
The Growing Need for Explainable AI in Big Data Analytics
As machine learning (ML) models become increasingly complex, particularly when dealing with vast datasets—often referred to as big data—the demand for transparency and explainableAI grows more critical than ever. This need is especially pronounced in sectors like environmental monitoring where decisions directly impact public health and…
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
✓ Live Streaming✓ Interactive Chat✓ Private Shows✓ HD Quality
Anya is LIVE right now
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Salesforce Experience Cloud ☁️’s (communities) playlist: I have tried to #explainable in #easy, in-depth & #live explanation 📍https://youtube.com/playlist?list=PL3y3JMXmJvon1gt3F2OURYZe37ZRbCv89 Other courses can be checked: 📍https://m.youtube.com/@Veer_the_developer/playlists Click the links available for each #lecture & enjoy #learning. Please, don't forget to show your #love💕 Click like 👍sick, share & #subscribe 🙏 #salesforce #salesforcedeveloper #salesforceadmin #experiencecloud #communities #integration #salesforcetraining #developer #tester #force #consultant #consultantlife #communities #experiencecloud #job https://www.instagram.com/p/Cn9PQhwJL3M/?igshid=NGJjMDIxMWI=
AI researchers are warning developers to focus more on how and why a system produces certain results than the fact that the system can accur
« I think it is absolutely critical to start by keeping in mind that what gets called ‘AI’ isn't any kind of autonomous agent, or intelligence, or thinking entity. These are tools, which can serve specific purposes. As with any other tools, we should be asking: How well do they work? How suited are they to the task at hand? Who are they designed to be used by? And: How can their use reinforce or disrupt systems of oppression? »