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  1. Scientists Develop Head-Mounted Device That Detects When You Watch Porn

    futurism.com | 2 min read

    Close those tabs! Scientists in China have created a prototype AI device that knows when a man is watching porn — by "reading his mind."

    Australian Scientists Discover Furry Crab Species That Wears Sponge As Hat
    Scientists unveil bionic robo-fish to remove microplastics from seas | Plastics | The Guardian
    Chinese scientists take ‘important step’ in stem cell therapy to treat Parkinson’s disease | South China Morning Post

  2. French navy eyeing US progress in unmanned, ‘data-centric’ operations

    www.defensenews.com | 3 min read

    France believes U.S. advances in unmanned systems, artificial intelligence and networked operations could shape its naval tech investments and concept development work.

  3. Amazon Alexa will be able to mimic deceased loved ones' voices

    www.wlwt.com | 3 min read

    The concept stems from Amazon looking at new ways to add more "human attributes" to artificial intelligence.

    Amazon Alexa may soon mimic the voice of your deceased loved ones | WRAL TechWire
    Amazon's Alexa could soon mimic voice of dead relatives | AP News

  4. Google Insider Says Company's AI Could "Escape Control" and "Do Bad Things"

    futurism.com | 3 min read

    AI researcher Blake Lemoine raised the stakes in a new interview with Fox News, claiming that LaMDA could escape its software prison and "do bad things."

  5. Do Kwon’s Crypto Empire Fell in a $40 Billion Crash. He’s Got a New Coin for You. - WSJ

    www.wsj.com | 1 min read

    The South Korean entrepreneur’s cryptocurrency empire collapsed last month. Now, despite angry investors and government investigations, he is attempting a comeback.

  6. Researchers develop a wearable textile exomuscle

    techxplore.com | 4 min read

    Researchers at ETH Zurich have developed a wearable textile exomuscle that serves as an extra layer of muscles. They aim to use it to increase the upper body strength and endurance of people with restricted mobility.

    Researchers made cyborg locusts that can smell cancer | Engadget
    Researchers chart progress in architected materials that respond to external stimuli

  7. Instagram is testing out new age verification options by facial scanning

    analyticsindiamag.com | 2 min read

    Instagram has announced that it is testing new options for users to verify their age on the platform with face scanning.

    Instagram is testing an AI tool that verifies your age by scanning your face - The Verge

  8. AWS launches CodeWhisperer, the Copilot slayer

    analyticsindiamag.com | 1 min read

    The preview form is supported for multiple IDEs and languages.

    Amazon launches CodeWhisperer, a GitHub Copilot-like AI pair programming tool – TechCrunch
    Techmeme: Amazon launches CodeWhisperer, a GitHub Copilot-like AI pair programming tool, in preview as part of AWS IDE Toolkit, supporting Java, JavaScript, and Python (Frederic Lardinois/TechCrunch)

  9. As China shuts out the world, internet access from abroad gets harder too - Los Angeles Times

    www.latimes.com | 7 min read

    Those trying to access China’s internet from outside the country struggle with geoblocks, registration requirements and other hurdles to information.

  10. Researchers uncover brain waves related to social behavior

    medicalxpress.com | 2 min read

    Researchers at Tohoku University and the University of Tokyo have discovered electrical wave patterns in the brain related to social behavior in mice. They also observed that mice showing signs of stress, depression, or autism lacked these brain waves.



Links to especially interesting sites that has been shared by the monitored sources in the past 24 hours.

  1. How a passion for reinforcement learning guided Alexander Long’s trajectory - Amazon Science

    www.amazon.science | 7 min read, listed in Amazon Science Homepage

    The field motivated him to pursue a PhD, which eventually led him to Amazon.

  2. A little public data makes privacy-preserving AI models more accurate - Amazon Science

    www.amazon.science | 5 min read, listed in Amazon Science Homepage

    Technique that mixes public and private training data can meet differential-privacy criteria while cutting error increase by 60%-70%.

  3. Interview with a squirrel

    www.aiweirdness.com | 6 min read, listed in Robert Dale — This Week in NLP: 24th June 2022

    Google's large language model, LaMDA, has recently been making headlines after a Google engineer (now on administrative leave), claimed to be swayed by an interview in which GPT-3 described the experience of being conscious. Almost everyone else who has used these large text-generating AIs, myself included, is entirely unconvinced. Why?

  4. A helping hand for robotic manipulator design | MIT News | Massachusetts Institute of Technology

    news.mit.edu | 5 min read, listed in reddit/robotics/An Integrated Design Pipeline for Tactile Sensing Robotic Manipulators - MIT

    MIT researchers created an integrated design pipeline that enables a user with no specialized knowledge to quickly craft a customized robotic manipulator. The system uses modular components guaranteed to be manufacturable, allowing the user to tailor the design of their robotic hand for a specific task and easily include tactile sensors in the final prototype.

  5. MLOps foundation roadmap for enterprises with Amazon SageMaker | AWS Machine Learning Blog

    aws.amazon.com | 24 min read, listed in Amazon AWS AI Blog

    As enterprise businesses embrace machine learning (ML) across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to innovation. To overcome this, enterprises needs to shape a clear operating model defining how multiple personas, such as data scientists, data engineers, ML engineers, IT, and business stakeholders, should collaborate and […]

  6. Manage AutoML workflows with AWS Step Functions and AutoGluon on Amazon SageMaker | AWS Machine Learning Blog

    aws.amazon.com | 7 min read, listed in Amazon AWS AI Blog

    Running machine learning (ML) experiments in the cloud can span across many services and components. The ability to structure, automate, and track ML experiments is essential to enable rapid development of ML models. With the latest advancements in the field of automated machine learning (AutoML), namely the area of ML dedicated to the automation of […]

  7. Improve ML developer productivity with Weights & Biases: A computer vision example on Amazon SageMaker | AWS Machine Learning Blog

    aws.amazon.com | 10 min read, listed in Amazon AWS AI Blog

    The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. As more organizations use deep learning techniques such as computer vision and natural language processing, the machine learning (ML) developer persona needs scalable tooling around experiment tracking, lineage, and […]

  8. How to use human-centered AI with Forethought and NEA – TechCrunch

    techcrunch.com | 1 min read, listed in Artificial Intelligence - TechCrunch

    Deon Nicholas is the CEO and co-founder of Forethought, the AI company whose mission is to transform customer experiences with human-centered AI. Forethought has raised over $100 million in venture capital, including from NEA, which led Forethought’s $9.52 million Series A. Hear from NEA’s Vanessa …

  9. Choose specific timeseries to forecast with Amazon Forecast | AWS Machine Learning Blog

    aws.amazon.com | 5 min read, listed in Amazon AWS AI Blog

    Today, we’re excited to announce that Amazon Forecast offers the ability to generate forecasts on a selected subset of items. This helps you to leverage the full value of your data, and apply it selectively on your choice of items reducing the time and effort to get forecasted results. Generating a forecast on ‘all’ items of the […]

  10. Topology and machine learning reveal hidden relationship in amorphous silicon

    phys.org | 4 min read, listed in Bing News

    Theoretical scientists have used topological mathematics and machine learning to identify a hidden relationship between nano-scale structures and thermal conductivity in amorphous silicon, a glassy form of the material with no repeating crystalline order.