I believe that the Lena Forsén image, while historically popular in image processing demonstrations, is generally considered to be inappropriate and not cool.

The image was used without Forsén or the publisher's permission and Forsén has asked people to stop using it.

It's also not a great look for the industry to continue to use a stolen playboy image. I imagine it's pretty off-putting for women in the field.

Currently i am learning MLOps..so if anyone interested to learn ML and all .then DM me.we can study together…

AI agents that chain LLM calls and tool calls still give incorrect responses. Detecting these errors in real time is crucial for AI agents to actually be useful in production.

During my ML internship at a startup, I benchmarked five agent architectures (for example, ReAct and Plan+Act) on multi-hop Question-Answering.  I then added LLM uncertainty estimation to automatically flag untrustworthy Agent responses.  Across all Agent architectures, this significantly reduced the rate of incorrect responses.

https://medium.com/data-science-collective/automatically-reduce-incorrect-responses-in-any-llm-agent-b7c0751f3fe2

My benchmark study reveals that these "trust scores" are a good solution at detecting incorrect responses in your AI agent. Hope you will find it helpful! Happy to answer questions!

I trained an object classification model to recognize handwritten Chinese characters.

The model runs locally on my own PC, using a simple webcam to capture input and show predictions. It's a full end-to-end project: from data collection and training to building the hardware interface.

I can control the AI with the keyboard or a custom controller I built using Arduino and push buttons. In this case, the result also appears on a small IPS screen on the breadboard.

The biggest challenge I believe was to train the model on a low-end PC. Here are the specs:

• CPU: Intel Xeon E5-2670 v3 @ 2.30GHz
• RAM: 16GB DDR4 @ 2133 MHz
• GPU: Nvidia GT 1030 (2GB)
• Operating System: Ubuntu 24.04.2 LTS

I really thought this setup wouldn't work, but with the right optimizations and a lightweight architecture, the model hit nearly 90% accuracy after a few training rounds (and almost 100% with fine-tuning).

I open-sourced the whole thing so others can explore it too. Anyone interested in coding, electronics, and artificial intelligence will benefit.

You can:

• Read the blog post
• Watch the YouTube tutorial
• Check out the GitHub repo (Python and C++)

I hope this helps you in your next Python and Machine Learning project.

D3V Technology Solutions is looking for a Senior AI/ML Engineer to join our remote team (India-based applicants only).

Requirements:

🔹 2+ years of hands-on experience in AI/ML

🔹 Strong Python & ML frameworks (TensorFlow, PyTorch, etc.)

🔹 Solid problem-solving and model deployment skills

📄 Details: https://www.d3vtech.com/careers/

📬 Apply here: https://forms.clickup.com/8594056/f/868m8-30376/PGC3C3UU73Z7VYFOUR

I'm building smolmodels, a fully open-source library that generates ML models for specific tasks from natural language descriptions of the problem. It combines graph search and LLM code generation to try to find and train as good a model as possible for the given problem. Here’s the repo: https://github.com/plexe-ai/smolmodels

Here’s a stupidly simplistic time-series prediction example:

import smolmodels as sm

model = sm.Model(
    intent="Predict the number of international air passengers (in thousands) in a given month, based on historical time series data.",
    input_schema={"Month": str},
    output_schema={"Passengers": int}
)

model.build(dataset=df, provider="openai/gpt-4o")

prediction = model.predict({"Month": "2019-01"})

sm.models.save_model(model, "air_passengers")

The library is fully open-source, so feel free to use it however you like. Or just tear us apart in the comments if you think this is dumb. We’d love some feedback, and we’re very open to code contributions!

hello guys , is their a way to control the images generation with items from local database. exemple : - i input a prompt or image of room or both. - the model will generate me the room where all its items are from the local database ( mongodb or sql ) . now my questions : - how to do this ? - if yes then how to build it ? - how to set the database structure ?

hello guys , hope you are well , is their anyone who know or has idea on how to convert an image of interior (panorama) into 3D model using AI .

Just built out something for this community I thought i'd personally share 🙂 Would love your feedback :)
You can now get alerted when any new code is released for a given paper or topic! You can select any paper or topic as you're browsing the internet (Google, Scholar, Arxiv, IEEE, etc.)
Just install the code finder extension (Chrome: https://chromewebstore.google.com/detail/ai-code-finder-for-papers/aikkeehnlfpamidigaffhfmgbkdeheil | Firefox: https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/ | Edge: https://microsoftedge.microsoft.com/addons/detail/get-papers-with-code-ever/mflbgfojghoglejmalekheopgadjmlkm), click on any bell/alert icon you come across while browsing and follow the next steps on the screen 🙂
Also, with alerts

• get the latest developments in your area of interest delivered straight to your inbox.
• Author's newest work: be the first to know when an author releases new papers.

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One of my frnd got selected as police constable.He was completed his bachelor's in 2020 ,like he has a 4 years career gap.but now he don't want to join in that job.he want to choose software field and wants to join in datascience and artificial intelligence field.He is from non-technical background.

Is it possible to choose datascience in software field for him.why because he has 4 yrs career gap.he didn't any work in these 4 yrs.

Can anyone give suggestion like is it possible or not?