The hottest Robotics Substack posts right now

And their main takeaways
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Top Technology Topics

[in case you missed It] Data Science Weekly - Issue 465

Data Science Weekly Newsletter • 0 implied HN points • 23 Oct 22
🕹 Technology AI Data science Machine Learning Neuroscience Robotics
  1. AI writing assistants are helping writers create content faster and generate new ideas.
  2. Recent research shows that certain AI models mimic functions of the human brain, particularly in memory.
  3. There is a growing interest in making AI models and tools more explainable, especially in fields like genomics, to provide deeper insights.

[in case you missed it] Data Science Weekly - Issue 433

Data Science Weekly Newsletter • 0 implied HN points • 13 Mar 22
🕹 Technology Artificial Intelligence Machine Learning Data science Programming Robotics
  1. Deep learning is facing challenges and needs more progress to improve its effectiveness. Experts are looking at what can be done to advance AI technology.
  2. MLOps, or machine learning operations, is currently chaotic but it’s an important area of growth. The ecosystem is rapidly evolving with new tools and practices appearing every week.
  3. There are new techniques and tools emerging to help in areas like data visualization and machine learning. These developments can make it easier for both beginners and experts in the field.

[in case you missed it] Data Science Weekly - Issue 347

Data Science Weekly Newsletter • 0 implied HN points • 19 Jul 20
🕹 Technology Data science Machine Learning AI Robotics Software Development
  1. Netflix is improving its data efficiency by using a dashboard that helps everyone see costs and usage trends. This way, decision-makers can make better choices based on clear information.
  2. Creating a strong portfolio and resume is really important for landing a data science job. Focus on showcasing your best skills and experiences to attract employers.
  3. There's a shift in building robots to assist humans instead of replacing them. The future should focus on robots that enhance our capabilities rather than take over our jobs.

[in case missed it] Data Science Weekly - Issue 334

Data Science Weekly Newsletter • 0 implied HN points • 18 Apr 20
🕹 Technology Data science Machine Learning AI Ethics Robotics Public Health
  1. Robotics can have big dreams, like sending a rover to the Moon, but the journey to change the world is tough and full of failures.
  2. Understanding how a virus like SARS-CoV-2 spreads is crucial for preventing future outbreaks, and we might need to keep social distancing for a long time to avoid overwhelming hospitals.
  3. As AI grows, it's important to make sure these systems are explainable and trustworthy so that people can feel safe using them.

[in case you missed it] Data Science Weekly - Issue 317

Data Science Weekly Newsletter • 0 implied HN points • 21 Dec 19
🕹 Technology Artificial Intelligence Machine Learning Data science Robotics Computer Science
  1. NeurIPS 2019 showcased a lot of innovation in AI, with numerous workshops and papers highlighting current research trends.
  2. AI benchmarks, like games, are not always the best way to measure intelligence because they don't truly represent problem-solving skills.
  3. There are new advancements in AI that improve how machines learn and respond, such as handling complex games and understanding language better.
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[in case you missed it] Data Science Weekly - Issue 308

Data Science Weekly Newsletter • 0 implied HN points • 20 Oct 19
🕹 Technology Machine Learning Data science AI Robotics Software Development
  1. Neural networks can solve real-world problems like a robot hand solving a Rubik's Cube. This shows they can learn and adapt in unpredictable situations.
  2. There's a shift happening in machine learning tools, with more researchers choosing PyTorch over TensorFlow. While TensorFlow is still popular in the industry, this could change soon.
  3. Companies can use a smart model to find the best regions for hiring offshore talent. This helps them build stronger remote teams by targeting specific skills.

[in case you missed it] Data Science Weekly - Issue 279

Data Science Weekly Newsletter • 0 implied HN points • 30 Mar 19
🕹 Technology Artificial Intelligence Machine Learning Data science Software Development Robotics
  1. Three scientists won the Turing Award for their work on neural networks. This award is a big deal in computing, kind of like a Nobel Prize.
  2. Machine learning is being used to create tools that can help doctors focus more on patients instead of taking notes. This could improve healthcare significantly.
  3. There's a new doodling app that uses AI to turn simple sketches into realistic images. This technology could be useful for video games and movies.

[in case you missed it] Data Science Weekly - Issue 239

Data Science Weekly Newsletter • 0 implied HN points • 23 Jun 18
🕹 Technology AI Machine Learning Data science Robotics Analytics
  1. AI can argue like a human but it doesn't really understand what it's saying. This raises questions about the limits of AI in communication.
  2. Researchers are working hard to make algorithms fair to avoid biases in machine learning. This is important as technology becomes more involved in our lives.
  3. Experts are discussing how AI and robotics can change healthcare, pointing to a future where technology plays a big role in medicine.

AI Weekly Update - October 25

Handy AI • 0 implied HN points • 25 Oct 24
🕹 Technology AI Software Innovation Robotics Data
  1. Claude 3.5 can now perform tasks on your computer by following commands, which means AI can assist us even more in our daily activities.
  2. Microsoft's Copilot now has new features that let it automate tasks in business programs. This can help make work processes faster and more efficient.
  3. OpenAI is working on a new model called Orion, which might be much more powerful than their current ones. This could change how we use AI in the future.

Simultaneous Localization and Mapping

The Halfway Point • 0 implied HN points • 26 Apr 24
🕹 Technology AI Sensors Statistics Robotics
  1. Self-driving cars need to know their exact location to avoid accidents. GPS and sensors like RADAR have errors, so it's tricky to get precise positioning.
  2. The Kalman filter helps improve the accuracy of measurements by combining noisy data over time. It has two main steps: updating measurements and predicting motion.
  3. For complex situations, there are advanced versions of the Kalman filter, like the Extended and Unscented Kalman filters, which can handle non-linear data better for more accurate tracking.

Robots vs. Workers: A New Paper on the Results

Big Fiscal • 0 implied HN points • 21 Mar 24
🕹 Technology Automation Robotics Employment Wages Economic Impact
  1. The introduction of robots has a small negative effect on jobs and wages, but it's not as bad as many fear. Overall, the impact seems to be minor.
  2. There's a bias in research that often leans toward negative effects of robots on wages. This shows the need for more balanced studies in this area.
  3. The effects of robots vary based on the economy, industry, and job skills. Developed countries might benefit more from robots compared to emerging ones, especially in some sectors like manufacturing.

start from zero

Poems, Short stories and other things.. • 0 implied HN points • 21 Dec 24
🕹 Technology AI Software Healthcare Education Robotics
  1. AI tools in software development can speed up work significantly, making tasks that used to take months done in just a few hours. This trend could happen in many fields, leading to a more efficient workforce.
  2. Jobs that involve repetitive or analytical tasks might see big changes due to AI. While some jobs won't disappear, they will likely require fewer people to accomplish the same goals, leading to faster results.
  3. Education will need to adapt quickly to teach skills relevant to the new AI tools. Traditional programming teaching might change as more people use AI to code without needing to know specific languages.

Meta introduces HOT3D: A dataset for advancing hand-object interaction research

The PhilaVerse • 0 implied HN points • 03 Jan 25
🕹 Technology Machine Learning Computer Vision Robotics Augmented reality Virtual reality
  1. Meta has created a new dataset called HOT3D to help with research on how humans interact with objects using their hands. It's designed to improve technology in areas like robotics and virtual reality.
  2. The HOT3D dataset is large, with over 833 minutes of video from different angles, showing various tasks with hands and objects. This helps researchers understand interactions better.
  3. The dataset provides detailed information, like 3D poses and eye tracking, which makes it very useful for developing new computer vision and machine learning applications.

25 Predictions for 2025

Digital Native • 0 implied HN points • 08 Jan 25
🕹 Technology AI Digital Media Robotics Venture Capital Social media
  1. Taylor Swift is expected to write an open letter about artist rights and AI, which could change how artists and tech companies interact. This might help establish clearer boundaries on using an artist's work and likeness in AI.
  2. TikTok is likely to survive despite previous discussions of a ban, possibly due to intervention from high-profile individuals or legal decisions. This will be significant for many creators who rely on the platform for income.
  3. Digital clones of real people might become more popular, allowing fans to interact with AI versions of their favorite celebrities. However, there may be pushback against completely AI-generated creators, as they can feel unsettling and less authentic.

20250209

Curious futures (KGhosh) • 0 implied HN points • 09 Feb 25
🕹 Technology AI Robotics Cybersecurity Crypto Future work
  1. New church designs in Denmark focus on community and inclusion, not just traditional worship. This shows a shift towards creating spaces that welcome everyone.
  2. AI and robots are becoming part of everyday life, but they can sometimes misunderstand human emotions and boundaries. It's important for technology to enhance real human connections.
  3. Work trends are changing, with some people moving back to the office despite the convenience of working from home. This raises questions about how we balance work and life in a tech-driven world.