Archive for the ‘robotics/AI’ category: Page 8

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

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.

May 26, 2023

Embracing chatGPT in the financial technology classroom

Posted by in categories: education, finance, robotics/AI

ChatGPT has been a topic of great discussion in academia, particularly about how to prevent its unauthorized use in classes. However, students can benefit from understanding how to use generative artificial intelligence (AI) as a tool to save time and improve performance on writing assignments.

Craig Hurwitz, an Executive in Residence in the Pratt School of Engineering, asked the graduate in his “Emerging Trends in Financial Technology (Fintech)” course to generate a first draft of an essay with ChatGPT’s help. His working assumption was that when students enter the workforce they will have access to, and the ability to use, generative AI for productivity purposes. He wanted to experiment with ChatGPT in his course to give students a first-hand look at how to use generative AI.

For the assignment, the class was instructed to read a and each chose a Fintech approach to help solve a particular challenge mentioned in the case. Their written assignment was a 750-word Executive Summary convincing the instructor (playing the role of Venture Capitalist) why he should consider meeting to discuss a potential investment.

May 26, 2023

The Result Of Unchecked AI: Balancing The Benefits And The Risks

Posted by in categories: robotics/AI, transportation

Vinay is the CEO and Founder of, the AI cloud for safe & responsible AI.

From self-driving cars to virtual assistants, AI is driving us to a high-performing ecosystem, creating promising use cases across industries every day. While organizations are generating substantial value with artificial intelligence (AI), the technology has many potential risks. Although its capabilities are expanding daily, so are the regulations, risks and ethical pitfalls around AI. Let’s discuss AI’s potential risks to individuals and society and industries’ preparedness to mitigate them.

Reliability is critical to ensuring the effective and safe deployment of AI models in real-world applications. While AI models are expected to maintain accuracy, their performance can drift over time due to several factors. Failure to monitor and diagnose AI models can lead to inaccurate predictions and high-stakes issues.

May 26, 2023

AI Is Unlocking the Human Brain’s Secrets

Posted by in categories: neuroscience, robotics/AI

Language models similar to ChatGPT have started to transform neuroscience.

May 26, 2023

NASA Mars robot technology adapted for Earth: Saving lives in disaster response

Posted by in categories: robotics/AI, space

Dr. Alice Agogino’s Mars robot technology finds terrestrial applications, revolutionizing disaster response and public safety with Squishy Robotics Inc.

For her NASA-funded spherical skeleton robots intended for interplanetary exploration, Dr. Alice Agogino, a famous scientist and the head of the Berkeley Emergent Space Tensegrities Lab at the University of California, Berkeley, has found terrestrial applications.

The robots developed by Agogino, which were initially meant for data collection on Mars or the Moon, may help first responders in the event of calamities on Earth.

May 26, 2023

Unique sweater-like fabric may help robots to feel human touch

Posted by in category: robotics/AI

The Robotics Institute at Carnegie Mellon University has developed a machine-knitted textile “skin” that can detect contact and pressure.

Over recent years, the goal in robotics has been to make robots more humane.

To make this possible, engineers have now developed a first-of-its-kind “RobotSweater” that will enable better interaction with humans. The Robotics Institute at Carnegie Mellon University has developed a machine-knitted textile “skin” that can be wrapped around the robot’s body to detect contact and pressure.

May 26, 2023

Meet kAI: the four-legged AI employee at Singapore’s rail operator

Posted by in categories: robotics/AI, transportation

Facebook kAI will be installed at the North East Line Depot and will be responsible for dedicated tasks like MASS rapid transit (MRT) train inspections and detecting missing screws and panels underneath the trains. kAI will help bring down the time spent on train inspections by half.

Page 8 of 1,704First56789101112Last