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Tricking algorithms: AI tools could boost social media users' privacy

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Smart AI tools could protect social media users' privacy by tricking algorithms designed to predict their personal opinions, a study suggests. Digital assistants could help prevent users from unknowingly revealing their views on social, political and religious issues by fighting AI with AI, researchers say. Their findings suggest automated assistants could offer users real-time advice on ways to modify their online behavior to mislead AI opinion-detection tools so that their opinions stay private. The study is the first to identify how Twitter users can hide their views from opinion-detecting algorithms that can aid targeting by authoritarian governments or fake news sources. Previous research has focused on steps that owners--rather than users--of social media platforms can take to improve privacy, though such actions can be difficult to enforce, the team says.


Creating a Cover Letter Generator Using Python and GPT-3

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With the Great Resignation looming over 2022, more and more workers are also estimated to be on the job hunt. A record number of people have quit their jobs since the beginning of the COVID-19 pandemic, and while this trend does not seem to be slowing down any time soon, it is clear that this worker revolution also necessitates the need for appropriate tools to help these newly-displaced workers find more fulfilling jobs. That's why I set out to build a cover letter generator as a quick weekend project. One of the most tedious parts of applying for jobs is writing a cover letter. Despite how much job seekers would want to share how their skills and experience are a good fit for a role, it is often a very stressful and tiring experience to write multiple cover letters for each job and each employer that a job seeker is applying to.



The future of generative AI and its ethical implications

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Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Generative AI is revolutionizing how we experience the internet and the world around us. Global AI investment surged from $12.75 million in 2015 to $93.5 billion in 2021, and the market is projected to reach $422.37 billion by 2028. While this outlook might make it sound as if generative AI is the "silver bullet" for pushing our global society forward, it comes with an important footnote: The ethical implications are not yet well-defined. This is a severe problem that can inhibit continued growth and expansion.


AI enables traffic lights, making the roads hassle-free ride. - Blinx AI - Medium

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Could Artificial Intelligence be the key to a smooth and largely traffic-free morning commute? And the answer is yes! AI developing and constructing a cutting-edge, photo-realistic traffic simulator helps enable users to get the route with the least amount of traffic and even strategize the function of the signal, which reduces the traffic. The city's traffic and street network data was then used to train a machine-learning-based computer algorithm. It virtually experimented with different light-changing patterns -- which would continuously adapt to real-time traffic conditions -- to see which ones would work best at minimizing wait times.


Two new AI systems beat humans at complex games of Stratego and Diplomacy

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Two new papers from AI powerhouses DeepMind and Meta describe how AI systems are notching wins against human players in complex games involving deception, negotiation and cooperation. Why it matters: Machine contenders have struggled with games where information is incomplete or hidden from players -- similar to the intentions of humans in daily life and interactions. Driving the news: Researchers from DeepMind outline a new autonomous agent called "DeepNash" that learned to play the game Stratego in a paper published today in Science. How they did it: The DeepMind team combined an algorithm for learning the game through self-play and another that steers that learning toward an optimal strategy. Meta researchers last week described an AI system called "Cicero" that they report can play the game Diplomacy at the level of humans.


Better sleep for soldiers may come through sensor, ML data - Military Embedded Systems

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An ongoing project intends to enable military and other scientists to monitor and even enhance the ways in which a soldier's brain sleeps and, importantly, attains rest and repair. The effort – a collaboration between the U.S. Army Medical Research and Development Command (USAMRDC) Military Operational Medicine Research Program (MOMRP) and scientists and engineers at Rice University (Houston, Texas) – is only one of a group of sensor-driven military projects seeking to create wearable technology to track and improve soldier performance and outcomes. Scientists at the Houston-based university are developing a noninvasive "sleeping cap" that analyzes the glymphatic system, the flow of fluid that is thought to cleanse and rid the brain of common metabolic waste during sleep. The cap will be used to further understand how the human brain deals with that waste, and if that function actually prepares and refreshes people for the next day. A team at Rice University's NeuroEngineering Initiative – together with teams from Rice's Institute of Biosciences and Bioengineering (IBB) and physicians from Houston Methodist Hospital and Baylor College of Medicine in Houston – are developing a lightweight skullcap that can analyze the wearer's glymphatic function and stimulate proper flow to treat sleep disorders and improve wakefulness and day-to-day function.


Python -- Introduction. If the implementation is hard to…

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If the implementation is hard to explain, it's a bad idea. If the implementation is easy to explain, it may be a good idea. Python is one of the most powerful programming languages because of its versatility. What makes Python versatile is; Its high-level data structure and simple yet effective approach to object-oriented programming. Python is an open-source project with a large active community.


What Is Machine Learning and Why Is It Important?

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Machine learning has seen use cases ranging from predicting customer behavior to forming the operating system for self-driving cars. When it comes to advantages, machine learning can help enterprises understand their customers at a deeper level. By collecting customer data and correlating it with behaviors over time, machine learning algorithms can learn associations and help teams tailor product development and marketing initiatives to customer demand. Some companies use machine learning as a primary driver in their business models. Uber, for example, uses algorithms to match drivers with riders.


Pinaki Laskar on LinkedIn: #machinelearning #artificialintelligence #deeplearning #machineintelligence

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Why Machine Intelligence is NOT Artificial [Human] Intelligence? AI is NOT Machine Learning, ML is NOT AHI, and Artificial NNs are NOT Human NNs. AA/AI rule 2: All Artificial Intelligence is Artificial Human Intelligence (AHI), divided as Narrow AI, Artificial General Intelligence (AGI), or Artificial Superintelligence (ASI). AA/AI rule 3: Real Machine Intelligence (MI) is NOT Artificial Human Intelligence (AHI), the capability of a computer system to mimic human intelligence/cognitive functions/behavior such as perception, learning, reasoning and problem-solving or NL communication. AA/AI rule 4: Machine Learning is NOT AHI.