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Category: robotics/AI – Page 97

The use of artificial intelligence in psychotherapy: development of intelligent therapeutic systems

Both groups showed significant reductions in anxiety levels. The control group receiving traditional therapy had a 45% reduction on the Hamilton scale and a 50% reduction on the Beck scale, compared to 30% and 35% reductions in the chatbot group. While the chatbot provided accessible, immediate support, traditional therapy proved more effective due to the emotional depth and adaptability provided by human therapists. The chatbot was particularly beneficial in crisis settings where access to therapists was limited, proving its value in scalability and availability. However, its emotional engagement was notably lower compared to in-person therapy.

The Friend chatbot offers a scalable, cost-effective solution for psychological support, particularly in crisis situations where traditional therapy may not be accessible. Although traditional therapy remains more effective in reducing anxiety, a hybrid model combining AI support with human interaction could optimize mental health care, especially in underserved areas or during emergencies. Further research is needed to improve AI’s emotional responsiveness and adaptability.

Background The increasing demand for psychotherapy and limited access to specialists underscore the potential of artificial intelligence (AI) in mental health care. This study evaluates the effectiveness of the AI-powered Friend chatbot in providing psychological support during crisis situations, compared to traditional psychotherapy. Methods A randomized controlled trial was conducted with 104 women diagnosed with anxiety disorders in active war zones. Participants were randomly assigned to two groups: the experimental group used the Friend chatbot for daily support, while the control group received 60-minute psychotherapy sessions three times a week. Anxiety levels were assessed using the Hamilton Anxiety Rating Scale and Beck Anxiety Inventory. T-tests were used to analyze the results. Results Both groups showed significant reductions in anxiety levels.

The Growing Impact Of AI And Quantum On Cybersecurity

#ArtificialIntelligence #CyberSecurity #QuantumComputing

The transformative effects of emerging technologies in this year by artificial intelligence and quantum computing will be hugely impactful; however, their cybersecurity challenges on society will require the need for proactive security adaptation and collaboration to mitigate new threats.

Power usage in Wyoming AI data center could eclipse consumption of the state’s human residents by 5x — tenant of colossal investment remains a mystery

Wyoming is the least populous U.S. state, with around 590,000 people, and currently exports two-thirds of its generated energy.

AMD Is Reportedly Looking to Introduce a Dedicated Discrete NPU, Similar to Gaming GPUs But Targeted Towards AI Performance On PCs; Taking Edge AI to New Levels

AMD is considering developing a discrete NPU solution for PC consumers, allowing the average system to gain supercharged AI capabilities.

Amazon has invested in «Netflix with AI» — streaming, which allows viewers to generate their own series

Fable, a San Francisco-based startup, has created a new streaming service called Showrunner, which is touted as «Netflix with AI». Its main feature is that viewers can create scenes or entire episodes for TV shows from scratch — using simple text prompts for artificial intelligence. The idea may seem dubious, but a tech giant like Amazon believed in the project’s potential and invested an undisclosed amount in Fable and the development of streaming.

Showrunner currently operates in closed alpha version with 10,000 users (another 100,000 are on the waiting list) and offers two original «shows» — storyworlds with characters that users can direct into different narrative arcs.

The first, titled «Exit Valley», is described as a «Family Guy-style television comedy set in Sim-Francisco, poking fun at artificial intelligence leaders Sam Altman, Elon Musk, and others». Second, «Everything Is Fine», in which a husband and wife have a big fight while going to Ikea, and then are transported to a world where they are actually divorced and have to find each other.

Microsoft Releases List of Jobs Most and Least Likely to Be Replaced by AI

Researchers at Microsoft tried to determine which precise jobs are most and least likely to be replaced by generative AI — and the results are bad news for anyone currently enjoying the perks of a cushy desk job.

As detailed in a yet-to-be-peer-reviewed paper, the Microsoft team analyzed a “dataset of 200k anonymized and privacy-scrubbed conversations between users and Microsoft Bing Copilot,” and found that the occupations most likely to be made obsolete by the tech involve “providing information and assistance, writing, teaching, and advising.”

The team used the data to come up with an “AI applicability score,” an effort to quantify just how vulnerable each given occupation is, taking into consideration how often AI is already being used there and how successful those efforts have been.

Memories Go Where?

How does your brain decide where to store a brand-new piece of information—like a new face, word, or concept? In this video, we’ll explore a working neural circuit that demonstrates how cortical columns could be allocated dynamically and efficiently—using real spikes, real timing, and biologically realistic learning rules. Instead of vague theories or abstract algorithms, we’ll show a testable mechanism that selects the first available cortical column in just 5 milliseconds, highlighting the incredible speed and parallelism of the brain. This is a crucial first step in building intelligence from the ground up—one circuit at a time.

Useful links:
The Future AI Society: https://futureaisociety.org.
The Brain Simulator III (UKS) project: https://github.com/FutureAIGuru/BrainSimIII
The Brain Simulator II (Neural Simulator) project: https://github.com/FutureAIGuru/BrainSimII
Overview Video: https://youtu.be/W2uauk2bFjs.
More Details Video: https://youtu.be/6po1rMFZkik.
How the UKS Learns Video: https://youtu.be/Rv0lrem3lVs.

Synthetic data boosts gait analysis: AI trained on simulations rivals existing models

Gait assessment is critical for diagnosing and monitoring neurological disorders, yet current clinical standards remain largely subjective and qualitative. Recent advances in AI have enabled more quantitative and accessible gait analysis using widely available sensors such as smartphone cameras.

However, most existing AI models are designed for specific patient populations and sensor configurations, primarily due to the scarcity of diverse clinical datasets—a constraint often driven by privacy concerns. As a result, these models tend to underperform when applied to populations or settings not well represented in the , limiting their broader clinical applicability.

In a study published in Nature Communications, researchers from IBM Research, the Cleveland Clinic, and the University of Tsukuba propose a novel framework to overcome this limitation. Their approach involves generating synthetic gait data using generative AI trained on physics-based musculoskeletal simulations.

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