Robotics/AI – Lifeboat News: The Blog

Research paves way for wireless charging of electric vehicles

Posted by Omuterema Akhahenda in robotics/AI, sustainability, transportation

Jan 17
2023

Imagine you’re driving your Tesla, or an equivalent electric car, down the highway. Your battery is running low. Sure, you could pull off at the next exit and spend time, and energy, searching for a recharging station. Or you could simply change lanes and drive over special charging strips embedded in the road.

That’s the vision of Khurram Afridi, associate professor of electrical and computer engineering in the College of Engineering. He’s pioneering an innovative approach for the wireless charging of electric vehicles, autonomous forklifts and other mobile machines, while they remain in motion.

Cornell researchers are pioneering an innovative approach for the wireless charging of electric vehicles and other machines while they remain in motion.

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A Robot Able to “Smell” Using a Biological Sensor

Posted by Jose Ruben Rodriguez Fuentes in biological, robotics/AI

Jan 17
2023

Summary: A new biological sensor sends electrical information in response to the presence of an odor which the robot is able to detect and interpret.

Source: Tel Aviv University.

A new technological development by Tel Aviv University has made it possible for a robot to smell using a biological sensor. The sensor sends electrical signals as a response to the presence of a nearby odor, which the robot can detect and interpret.

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AI-Developed, Synthetic DNA is About to Revolutionize Drug Production and Gene Therapy

Posted by Kelvin Dafiaghor in biotech/medical, food, genetics, robotics/AI

Jan 17
2023

Researchers at Chalmers University of Technology have made a ground-breaking discovery in the field of synthetic DNA, using AI to control the cells’ protein production.

This new technology could revolutionize the way we produce vaccines, drugs for severe diseases, and alternative food proteins by making the process faster and significantly cheaper than current methods.

The process of gene expression is fundamental to the function of cells in all living organisms. In simple terms, the genetic code in DNA is transcribed into the molecule messenger RNA (mRNA), which tells the cell’s factory which protein to produce and in what quantities.

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Amazon may have more robot employees than humans in the future

Posted by Gemechu Taye in biotech/medical, robotics/AI

Jan 17
2023

What could the consequences be in the future?

An interesting tweet is making headlines regarding Amazon’s adoption of robots within its company. Posted by Sam Korus, the tweet includes a graph showing the relative numbers of robots and human employees (in the thousands) at the beginning of every year between 2013 and 2022.

The graph shows a growing trend in the number of humans and robots over time, with a noticeable uptick during the pandemic as people spent more time shopping online at home. Korus’ tweet predicts that more robots will be employed than humans at some point in the future; he might have a point.

Oselote/iStock.

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Microsoft to offer ChatGPT at industrial scale via its Azure services

Posted by Gemechu Taye in business, robotics/AI, supercomputing

Jan 17
2023

The expertise of GPT3.5 at the industrial scale.

If you are tired of your requests to access ChatGPT being waitlisted repeatedly, Microsoft has some good news for you. The chatbot is coming soon to Azure Open AI services, where businesses can access the most advanced artificial intelligence (AI) in the world, the company said in a press release.

ChatGPT, the chatbot released on November 30 last year, has caught the imagination of engineers and non-engineers alike. The large language model used by the platform allows the AI to help answer user queries in a conversational style.

NurPhoto/Getty.

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AI21 Labs Announces The Future Of Writing, Challenging OpenAI

Posted by Gemechu Taye in humor, robotics/AI

Jan 17
2023

Tel-Aviv-based AI21 Labs launched today Wordtune Spices, a writer-augmentation tool based on generative AI. Selecting from 12 different cues, writers can generate a range of textual options to add to and enhance sentences. Spices can also suggest statistics to strengthen an argument or sharpen a detail.

AI21 says Spices is not intended to replace writers but to function as a writing assistant, suggesting additional complete sentences that improve and enhance the text that is being written. It could help refine and enrich the main message of the text, bolster and enrich arguments, and add creative expressions such as a joke or inspirational quote.

AI21 is addressing the limitations of Large Language Models (LLM) by combining deep learning with old-fashioned AI.

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Robot prototype with ‘human consciousness’ in the making: ’This is bigger than curing cancer‘

Posted by Paul Battista in biotech/medical, robotics/AI

Jan 17
2023

If You’re Down He’ll Pick You Up! Dr. Robot Scientists have lifted the lid on a new project that involves a robot with “human consciousness”. Researchers at Columbia University announced that a prototype is in the making, which could be a scientific breakthrough “bigger than curing cancer”.

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Machine learning dissection of human accelerated regions in primate neurodevelopment

Posted by Saúl Morales Rodriguéz in biotech/medical, robotics/AI

Jan 17
2023

Whalen et al. couple deep learning with functional assays in chimpanzee and human cells to interrogate the neurodevelopmental enhancer potential of 2,645 human accelerated regions (HARs). Activity is dominated by cis rather than trans effects, and compensatory changes are identified as a driver of rapid HAR evolution.

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How Nvidia’s CUDA Monopoly In Machine Learning Is Breaking — OpenAI Triton And PyTorch 2.0

Posted by Kelvin Dafiaghor in robotics/AI

Jan 17
2023

Over the last decade, the landscape of machine learning software development has undergone significant changes. Many frameworks have come and gone, but most have relied heavily on leveraging Nvidia’s CUDA and performed best on Nvidia GPUs. However, with the arrival of PyTorch 2.0 and OpenAI’s Triton, Nvidia’s dominant position in this field, mainly due to its software moat, is being disrupted.

This report will touch on topics such as why Google’s TensorFlow lost out to PyTorch, why Google hasn’t been able to capitalize publicly on its early leadership of AI, the major components of machine learning model training time, the memory capacity/bandwidth/cost wall, model optimization, why other AI hardware companies haven’t been able to make a dent in Nvidia’s dominance so far, why hardware will start to matter more, how Nvidia’s competitive advantage in CUDA is wiped away, and a major win one of Nvidia’s competitors has at a large cloud for training silicon.

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