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Archive for the ‘robotics/AI’ category: Page 576

May 27, 2023

Startups to Watch in AI: Artificial intelligence firms on the rise

Posted by in category: robotics/AI

Generative AI startup Jasper is creating an AI marketing assistant capable of writing ad copy, blogs, and other web content. Founded just two years ago, the startup raised $125 million in October at a $1.5 billion valuation.

AI startup Magic. Dev wants to make it easier to write computer code. The company uses large language models like OpenAI’s ChatGPT to develop software that can write lines of code based on a text prompt. The program is meant to make software engineers more efficient. The company has raised $28 million to date from investors including Alphabet’s CapitalG.

May 27, 2023

AI Is Helping Create the Chips That Design AI Chips

Posted by in categories: policy, robotics/AI

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May 27, 2023

ChatGPT’s makers say AI could surpass humanity within the next 10 years as ‘superintelligence’ starts to exceed other powerful technologies

Posted by in category: robotics/AI

OpenAI’s cofounders, including Sam Altman, said in a blog post that there needed to be a proactive approach to managing AI’s potential harms.

May 27, 2023

Artificial muscle fibers could serve as cell scaffolds

Posted by in categories: biotech/medical, chemistry, cyborgs, robotics/AI

In two new studies, North Carolina State University researchers have designed and tested a series of textile fibers that can change shape and generate force like a muscle. In the first study, published in Actuators, the researchers focused on the materials’ influence on artificial muscles’ strength and contraction length. The findings could help researchers tailor the fibers for different applications.

In the second, proof-of-concept study published in Biomimetics, the researchers tested their fibers as scaffolds for . Their findings suggest the fibers—known as “fiber robots”—could potentially be used to develop 3D models of living, moving systems in the human body.

“We found that our fiber robot is a very suitable scaffold for the cells, and we can alter the frequency and contraction ratio to create a more suitable environment for cells,” said Muh Amdadul Hoque, graduate student in textile engineering, chemistry and science at NC State. “These were proof-of concept studies; ultimately, our goal is to see if we can study these fibers as a scaffold for stem cells, or use them to develop artificial organs in future studies.”

May 27, 2023

5 ChatGPT tricks you had no idea you could do with the chatbot

Posted by in categories: entertainment, robotics/AI

You’ve likely seen all the impressive tasks ChatGPT can accomplish, from drafting emails and resumes to writing code and even inventing a new language. But as we wait for AI to make us all obsolete, we might as well enjoy our remaining time in control of the chatbots. One way to do so is by experimenting with all of the fun tricks ChatGPT can perform.

As intelligent and powerful as ChatGPT is, you can also treat it as a toy. Here are some of the best ChatGPT tricks we’ve discovered so far that might not change your life, but will definitely keep you entertained during an especially slow day at work:

If you’re desperate to play a game with someone but can’t actually find a human to play with, ChatGPT is more than capable of standing in. There are a bunch of games that you can play with ChatGPT, including Tic-Tac-Toe, Hangman, and Mad Libs. Just ask ChatGPT to play any of those games, and it will generate the game board and explain the rules.

May 27, 2023

A software package to ease the use of neural radiance fields in robotics research

Posted by in categories: information science, robotics/AI

Neural radiance fields (NeRFs) are advanced machine learning techniques that can generate three-dimensional (3D) representations of objects or environments from two-dimensional (2D) images. As these techniques can model complex real-world environments realistically and in detail, they could greatly support robotics research.

Most existing datasets and platforms for training NeRFs, however, are designed to be used offline, as they require the completion of a pose optimization step that significantly delays the creation of photo realistic representations. This has so far prevented most roboticists from using these techniques to test their algorithms on physical robots in real-time.

Continue reading “A software package to ease the use of neural radiance fields in robotics research” »

May 27, 2023

ChatGPT for iPhone now available in 46 countries and counting [U]

Posted by in categories: mobile phones, robotics/AI

ChatGPT for iPhone launched in the US last week, with OpenAI promising that it would come to more countries “in the coming weeks.”

The next phase in the rollout has now happened earlier than expected, with 11 more countries added on Wednesday, and a further 35 today …

While you could of course access the ChatGPT website on your iPhone, an iPhone app makes it more convenient – especially as the app is free, and has no ads.

May 27, 2023

Kratos to deploy more autonomous platooning trucks in Midwest

Posted by in categories: robotics/AI, space

https://youtube.com/watch?v=N-GkbFXq3Ts

Platooning technology is allowing lower-cost entry to the autonomous space, where its reach includes the existing truck market rather than solely on “customers who can afford to buy new trucks,” according to Kratos.

“Couple that with the increasing driver shortage and the potential multiplies,” Steve Fendley, president of Kratos Unmanned Systems Division, said in a statement.

Continue reading “Kratos to deploy more autonomous platooning trucks in Midwest” »

May 27, 2023

AI is helping astronomers make new discoveries about the universe faster than ever before

Posted by in categories: robotics/AI, space

AI has now spread into every field of astronomy and is helping astronomers learn more about the universe at an astonishing rate.

May 26, 2023

LHC experiments see first evidence for rare Higgs boson decay into two different bosons

Posted by in categories: particle physics, robotics/AI

The discovery of the Higgs boson in 2012 marked a significant milestone in particle physics. Since then, researchers at the ATLAS and CMS Collaborations have been diligently investigating its properties and probing for rare production and decay channels. Among the rare decays, the process where the Higgs boson decays into a Z boson and a photon (H → Zγ) has raised considerable attention, especially given the significant dataset collected during Run 2 of the Large Hadron Collider. Figure 1: The Zγ invariant mass distribution of events from all ATLAS and CMS analysis categories. The data (circles with error bars) in each category are weighted by ln(1 + S/B) and summed, where S and B are the observed signal and background yields in that category and in the 120–130 GeV interval, derived from the fit to data. The fitted signal-plus-background (background) terms are represented by a red solid (blue dashed) line. In the lower panel, the data and the two models are compared after subtraction of the estimated background. (Image: CERN) This is a special kind of decay – the Higgs boson does not couple directly to the Zγ pair; instead, the decay proceeds via an intermediate ‘loop’ of virtual particles. Thus, in the Standard Model, the decay probability (or branching fraction) for H → Zγ is predicted to be small – around 1.5 ×10–3, for a Higgs boson mass near 125 GeV. Theories that go beyond the Standard Model predict this branching fraction to deviate, as new particles interacting with the Higgs boson may also contribute to this loop. Exploring these variations provides valuable insights into both physics beyond the Standard Model and the nature of the Higgs boson. The ATLAS and CMS Collaborations have independently conducted extensive searches for the H → Zγ process. Both searches employ similar strategies, reconstructing the Z boson through its decays into pairs of electrons or muons. Signal events are identified as a narrow peak in the Zγ invariant mass distribution. To enhance the sensitivity, researchers exploited the most frequent Higgs-boson production modes and categorised events based on the characteristics of these production processes. They also used advanced machine-learning techniques, such as boosted decision trees, to distinguish between signal and background events. The ATLAS and CMS Collaborations have joined forces to report first evidence of the H → Zγ decay, with a significance of 3.4 standard deviations. Figure 2: Negative log-likelihood scan of the signal strength μ from the analysis of ATLAS data (blue line), CMS data (red line), and the combined result (black line). (Image: CERN) Recognising the importance of this decay channel, the ATLAS and CMS Collaborations joined forces to maximise the statistical power and sensitivity of their analyses. By combining the data sets collected by both experiments during Run 2 of the LHC (2015−2018), researchers have significantly increased the statistical precision and expanded the reach of their search. This collaborative effort allowed for a more precise and robust measurement. Figure 1 displays the observed distribution of the mass of the Zγ system in the combined data sample. Figure 2 presents the negative log-likelihood scan to identify the most likely signal strength that best describes the observed data. The signal strength (μ) is defined as the ratio of the Higgs-boson production cross-section times the H → Zγ decay branching fraction to its Standard-Model prediction. This analysis reveals evidence for the H → Zγ decay, with a significance of 3.4 standard deviations. This means that the probability that this signal is actually caused by a statistical fluctuation is smaller than 0.04%. The measured branching fraction for H → Zγ is 3.4 ± 1.1 ×10–3 and the observed signal yield is measured to be 2.2 ± 0.7 times the Standard-Model prediction. This means that the decay is seen a little more than twice as often as would be expected by the Standard Model. Although the uncertainty on the present measurement is still quite large, these findings open the door to valuable insights into the behaviour and properties of the Higgs boson. Looking ahead, by the end of LHC Run 3 the collected data is expected to triple the size of the dataset analysed here. This will allow ATLAS and CMS researchers to study this rare decay channel in even more detail, and to use this channel to probe for new physics beyond the Standard Model. About the event display: Event display of a candidate H→ Zγ event with the Z boson decaying μ+μ-. The transverse momenta of the two muon candidates, shown in red. The photon candidate is reconstructed as an unconverted photon with a transverse momentum of 32.5 GeV. Two jets are represented by light blue cones. The green boxes correspond to energy deposits in cells of the electromagnetic calorimeter, while yellow boxes correspond to energy deposits in cells of the hadronic calorimeter. Learn more Evidence for the Higgs boson decay to a Z boson and a photon at the LHC (ATLAS-CONF-2023–025) LHCP 2023 presentation by Toyoko Orimoto: Higgs boson rare production and decay at ATLAS and CMS LHCP 2023 presentation by Chiara Arcangeletti: Measurement of Higgs boson production and properties LHC experiments see first evidence for rare Higgs boson decay into two different bosons, CMS briefing, May 2023 ATLAS Collaboration: A search for the Zγ decay mode of the Higgs boson in pp collisions at 13 TeV with the ATLAS detector (Phys. Lett. B 809 (2020) 135,754, arXiv: 2005.05382, see figures) CMS Collaboration: Search for Higgs boson decays to a Z boson and a photon in proton–proton collisions at 13 TeV (Accepted for publication in J. High Energy Phys, arXiv: 2204.12945, see figures) ATLAS searches for rare Higgs boson decays into a photon and a Z boson, ATLAS Physics Briefing, April 2020 A possible new decay mode of the Higgs boson, CMS briefing, April 2022 Summary of new ATLAS results from LHCP 2023, ATLAS News, May 2023.

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