Category robots in business

For drones to save lives in search and rescue missions, or even reliably deliver our packages, they need to navigate dynamic environments without accident. Unmanned aerial vehicles (UAVs) have had success steering through open spaces time and time again, but the unpredictability of moving obstacles has been a challenge, especially in indoor environments with no GPS signals. Kenji Shimada and his students leaned into this problem to develop new technology that enables autonomous flights in indoor dynamic environments.

Advances in machine learning technology have made once-unreliable vision-guided robots an attainable, commercially viable reality. These systems improve assembly line precision in many ways.

In a series of experiments published in Nature Communications, we found evidence that human judgments are indeed systematically influenced by adversarial perturbations.

In a series of experiments published in Nature Communications, we found evidence that human judgments are indeed systematically influenced by adversarial perturbations.

In a series of experiments published in Nature Communications, we found evidence that human judgments are indeed systematically influenced by adversarial perturbations.

In a series of experiments published in Nature Communications, we found evidence that human judgments are indeed systematically influenced by adversarial perturbations.

In a series of experiments published in Nature Communications, we found evidence that human judgments are indeed systematically influenced by adversarial perturbations.

In a series of experiments published in Nature Communications, we found evidence that human judgments are indeed systematically influenced by adversarial perturbations.

In a series of experiments published in Nature Communications, we found evidence that human judgments are indeed systematically influenced by adversarial perturbations.

In a series of experiments published in Nature Communications, we found evidence that human judgments are indeed systematically influenced by adversarial perturbations.

In a series of experiments published in Nature Communications, we found evidence that human judgments are indeed systematically influenced by adversarial perturbations.

In a series of experiments published in Nature Communications, we found evidence that human judgments are indeed systematically influenced by adversarial perturbations.

The system required a bespoke interface that could accurately test each battery for thermal runaway, and then export and transmit the data to a server to be cross-referenced and analyzed where anomalies were found to be present.

Claire chatted to Rav Chunilal from Sellafield all about robotics and AI for nuclear decommissioning.

Rav Chunilal is the Head of Robotics & Artificial Intelligence at Sellafield Ltd, the UK’s largest nuclear site. He is responsible for developing and deploying Robotics and AI technologies to decommission the site safely, efficiently, and cost-effectively. Under Rav’s leadership, Sellafield Ltd and the Nuclear Decommissioning Authority Group has established itself as a leader in the use of Robotics and AI for nuclear decommissioning. The company has developed and deployed a wide range of robotic technologies to perform tasks such as remote inspection, waste handling, and demolition.

Thanks to those that sent and suggested AI and robotics-themed holiday videos, images, and stories. Here’s a sample to get you into the spirit this season.

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Josh Miller used ChatGPT to create the 12 days of Christmas. Prompt: “I want to make 12 images in an early 1980s era to depict the twelve days of Christmas”.

See the pictures in higher definition here.

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“Santa’s Secret: Robots Saved Christmas! | CPS XMAS video 2023” from Chair of Cyber-Physical Systems.

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“AI rewriting classic Christmas stories” from GingerPale.

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Using PaLM2 to generate haikus.

Prompt: “Write me a haiku about an alternative xmas”.
No gifts, no grand feast,
Just laughter and joy, warmth spread,
Kindness fills the air.

Prompt: “Write a haiku about the winter holiday season”.
Snow blankets the land,
Hearts aglow with love’s warmth,
Joyous cheer surrounds.

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“Put a Bow on It | Happy Holidays” from Boston Dynamics.

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“Christmas Magic: Animated Backgrounds for an Enchanting Atmosphere” from AI-ArtificialIntelligence.

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“XMAS – Episode 3: AI – Christmas music for the HAKOM Christmas party” from HAKOM Time Series.

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“Christmas tree in python notebook with Turtle” from Learn Upwards.

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“FZI Living Lab Christmas Robotics 2023 – Robotic Reindeer Rescue” from FZI channel.

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A letter to Santa generated by PaLM2. Prompt: “Write me a letter to Santa Claus. I don’t want any presents, just inspiration in my machine learning research for 2024.”

Dear Santa Claus,

As the year comes to a close, I find myself reflecting on the remarkable advancements in machine learning that have transformed our world. From self-driving cars to personalized medicine, these innovations have opened up new possibilities and enriched our lives in ways we could have only imagined a few decades ago.

I am writing to you today not to ask for material gifts, but rather for something more precious: inspiration to continue exploring the frontiers of machine learning in the year to come. As a researcher in this field, I am eager to contribute to the development of algorithms and techniques that can further enhance our understanding of the world around us and create solutions to pressing global challenges.

I am particularly fascinated by the potential of machine learning to address the climate crisis. By harnessing the power of data and computation, we can develop more efficient renewable energy sources, optimize transportation systems, and mitigate the impact of extreme weather events. Additionally, I believe that machine learning can play a crucial role in improving education, healthcare, and environmental sustainability.

I know that you have a special ability to see the world in a unique and insightful way. I hope that you can share some of your wisdom with me and guide me towards promising research directions. I am eager to embark on new challenges and make a positive impact on the world through machine learning.

Thank you for considering my request, Santa Claus. I look forward to your guidance and inspiration as I pursue my research endeavors in the year ahead.

With warmest regards,

[Your Name]