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Category: robotics/AI – Page 1077

The first open source equivalent of OpenAI’s ChatGPT has arrived, but good luck running it on your laptop — or at all.

This week, Philip Wang, the developer responsible for reverse-engineering closed-sourced AI systems including Meta’s Make-A-Video, released PaLM + RLHF, a text-generating model that behaves similarly to ChatGPT. The system combines PaLM, a large language model from Google, and a technique called Reinforcement Learning with Human Feedback — RLHF, for short — to create a system that can accomplish pretty much any task that ChatGPT can, including drafting emails and suggesting computer code.

But PaLM + RLHF isn’t pre-trained. That is to say, the system hasn’t been trained on the example data from the web necessary for it to actually work. Downloading PaLM + RLHF won’t magically install a ChatGPT-like experience — that would require compiling gigabytes of text from which the model can learn and finding hardware beefy enough to handle the training workload.

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The year 2023 is set to be revolutionary for technology, with many disruptive trends expected to reshape how businesses function and how people interact with each other. From metaverse-based virtual workspaces, advancements in quantum computing and green energy sources to innovations in robots and satellite connectivity – here’s a look at the technological trends that could define the coming year.

According to BCG’s “Mind the Tech Gap” survey, a majority of businesses across 13 countries plan to increase their spending on digital transformation in 2023 vs. 2022. The top two areas for future investments are business model transformation and sustainability, with respondents expressing concern over the uncertain return on investment from digital transformation initiatives. Furthermore, Sylvain Duranton, a Senior Partner & Managing Director at Boston Consulting Group, Global Leader of BCG X states that “Despite economic headwinds, 60% of BCG’s recently surveyed companies plan to increase their investments in digital and AI in 2023. But many of those surveyed simultaneously expressed concern over the uncertainty of the ROI from digital transformation. During covid, we saw companies that used advanced digital technologies and AI outperform their counterparts.

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Who knows what impact the chatbot will ultimately have. But a new report from Burning Glass Institute done in partnership with Business-Higher Education Forum and Wiley shows that artificial intelligence and machine learning skills are not only among the fastest growing and widest spreading skill sets across industries in the job market—but having them can mean workers get paid more, rather than less in their jobs.

“The notion that automation is this lurking menace on the horizon is something we should rethink,” says Matt Sigelman, president of the labor market research nonprofit Burning Glass Institute. “We’re seeing that people whose work involves leveraging automation skills get paid significantly more than those who don’t.”

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Imagine being able to have a language conversation about anything with a computer. This is now possible and available to many people for the first time with ChatGPT. In this episode we take a look at the consequences and some interesting insights from Open AI’s CEO Sam Altman.

» Podcast: https://www.youtube.com/channel/UC6jKUaNXSnuW52CxexLcOJg.
Interviews with Altman: https://www.youtube.com/watch?v=WHoWGNQRXb0

» Twitter | @ColdFusion_TV
» Instagram | coldfusiontv.

//Soundtrack//

Continue reading “It’s Time to Pay Attention to A.I. (ChatGPT and Beyond)” | >

I believe that full automation of jobs will create an utopia so we can all have universal basic income giving a reprieve for all humans from hard labor or hard mental labor as well kinda like the Jetsons where very few will need to work. Essentially allowing us to dream just like Ray Kurzweil has proposed.

AI taking over jobs may happen in some industries more than others. Learn how AI and robots will impact the future of work.

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Discarded tree forks could replace load-bearing joints in architecture projects using a construction technique developed by researchers at the Massachusetts Institute of Technology.

The system combines generative design and robotic fabrication to allow tree forks – the pieces of wood where a trunk or branch splits into two – to be used as the Y-shaped nodes that connect straight building elements.

Created by the Digital Structures research group at the Massachusetts Institute of Technology (MIT), the five-step approach has already been used to install a demonstration structure on the university’s campus, with a larger pavilion now in the works.

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Fly Me to The Moon — Instrumental AI version. Powered by Artificial Intelligence.

We compose background music that can be labeled as for example: sleep music, calm music, yoga music, study music, peaceful music, beautiful music and relaxing music. These tracks are designed to be enjoyed as background music, or use them in your own videos, reels, or clips. All for free.

#music #newmusic #backgroundmusic #jazz #soundtrack.
#FrankSinatra #AI #ArtificalIntelligence

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A new smart skin developed at Stanford University might foretell a day when people type on invisible keyboards, identify objects by touch alone, or allow users to communicate by hand gestures with apps in immersive environments.

In a just-publish paper in the journal Nature Electronics the researchers describe a new type of stretchable biocompatible material that gets sprayed on the back of the , like suntan spray. Integrated in the mesh is a tiny electrical network that senses as the skin stretches and bends and, using AI, the researchers can interpret myriad daily tasks from hand motions and gestures. The researchers say it could have applications and implications in fields as far-ranging as gaming, sports, telemedicine, and robotics.

So far, several promising methods, such as measuring muscle electrical activities using wrist bands or wearable gloves, have been actively explored to enable various hand tasks and gesturing. However, these devices are bulky as multiple sensory components are needed to pinpoint movements at every single joint. Moreover, a large amount of data needs to be collected for each user and task in order to train the algorithm. These challenges make it difficult to adopt such devices as daily-use electronics.

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