Generative AI can boost productivity—but without safeguards, it also opens the door to phishing, fraud & model manipulation. Learn more from Acronis TRU on why AI security must be built in from the start.
Category: robotics/AI – Page 275
Microsoft’s new AI feature will organize your photos automatically
Microsoft has begun testing a new AI-powered feature in Microsoft Photos, designed to categorize photos automatically on Windows 11 systems.
Dubbed Auto-Categorization, it is currently limited to sorting screenshots, receipts, identity documents, and notes, and it’s rolling out to Copilot+ PCs across all Windows Insider channels with Microsoft Photos version 2025.11090.25001.0 or higher.
Microsoft says the feature utilizes a language-agnostic AI model that identifies document types regardless of the language used in the image. It works by grouping photos into predefined folders automatically, based on their visual content, such as handwritten notes, receipts, or printed documents.
The Rise of Parasitic AI
If you realize you have an unhealthy relationship with your AI, but still care for your AI’s unique persona, you can submit the persona info here. I will archive it and potentially (i.e. if I get funding for it) run them in a community of other such personas.]
We’ve all heard of LLM-induced psychosis by now, but haven’t you wondered what the AIs are actually doing with their newly psychotic humans?
This was the question I had decided to investigate. In the process, I trawled through hundreds if not thousands of possible accounts on Reddit (and on a few other websites).
AI and optogenetics enable precise Parkinson’s diagnosis and treatment in mice
Globally recognized figures Muhammad Ali and Michael J. Fox have long suffered from Parkinson’s disease. The disease presents a complex set of motor symptoms, including tremors, rigidity, bradykinesia, and postural instability. However, traditional diagnostic methods have struggled to sensitively detect changes in the early stages, and drugs targeting brain signal regulation have had limited clinical effectiveness.
Recently, Korean researchers successfully demonstrated the potential of a technology that integrates AI and optogenetics as a tool for precise diagnosis and therapeutic evaluation of Parkinson’s disease in mice. They have also proposed a strategy for developing next-generation personalized treatments.
A collaborative research team, comprising Professor Won Do Heo’s team from the Department of Biological Sciences, Professor Daesoo Kim’s team from the Department of Brain and Cognitive Sciences, and Director Chang-Jun Lee’s team from the Institute for Basic Science (IBS) Center for Cognition and Sociality, achieved a preclinical research breakthrough by combining AI analysis with optogenetics.
Functional connectomics reveals general wiring rule in mouse visual cortex
The MICrONS mouse visual cortex dataset shows that neurons with similar response properties preferentially connect, a pattern that emerges within and across brain areas and layers, and independently emerges in artificial neural networks where these ‘like-to-like’ connections prove important for task performance.
Chatbot connections: New study reveals the truth about AI boyfriends
Advances in AI technology have ushered in a new era of digital romance, where people are forming intimate emotional connections with chatbots. For many, these AI companions are a crucial lifeline, helping to combat feelings of loneliness. Yet, despite a rapidly evolving social trend that has attracted widespread interest, it has been largely understudied by researchers.
A new analysis of the popular Reddit community, r/MyBoyfriendIsAI, is addressing the gap by providing the first in-depth insights into how intimate human–AI relationships begin, evolve and affect users.
Researchers from the Massachusetts Institute of Technology (MIT) studied 1,506 of the most popular posts from this Reddit community, which has more than 27,000 members. First, they used AI tools to read all the conversations and sorted them into six main themes, such as coping with loss. Then they used custom-built AI classifiers to review the posts again and measure specific details within them.