We can expect to the latest and greatest in gaming and computer hardware, audio visual, electric vehicles and smart home technologies.
Category: transportation – Page 200
2 adults and 2 children survive after Tesla plunges 250 feet off California cliff: “An absolute miracle”
250 feet down a cliff. Notice many of the Musk bashing news outlets are not reporting this. #PleaseShare
Montara, Calif. — A 4-year-old girl, a 9-year-old boy and two adults survived Monday after their car plunged off a Northern California cliff along the Pacific Coast Highway near an area known as Devil’s Slide that’s known for fatal wrecks, officials said.
The Tesla sedan plummeted more than 250 feet from the highway and crashed into a rocky outcropping. It appears to have flipped a few times before landing on its wheels, wedged against the cliff just feet from the surf, according to Brian Pottenger, a battalion chief for Coastside Fire Protection District/Cal Fire.
Crashes along Devil’s Slide, a steep, rocky and winding coastal area about 15 miles south of San Francisco between Pacifica and Montara, rarely end with survivors. On Monday, the victims were initially listed in critical condition but all four were conscious and alert when rescuers arrived.
Intelligent programmable meta-imagers: A timely approach to task-specific, noise-adaptive sensing
Sensing systems are becoming prevalent in many areas of our lives, such as in ambient-assisted health care, autonomous vehicles, and touchless human-computer interaction. However, these systems often lack intelligence: they tend to gather all available information, even if it is not relevant. This can lead not only to privacy infringements but also to wasted time, energy, and computational resources during data processing.
To address this problem, researchers from the French CNRS came up with a concept for intelligent electromagnetic sensing, which uses machine-learning techniques to generate learned illumination patterns so as to pre-select relevant details during the measurement process. A programmable metasurface is configured to generate the learned patterns, performing high-accuracy sensing (e.g., posture recognition) with a remarkably reduced number of measurements.
But measurement processes in realistic applications are inevitably subject to a variety of noise. Noise fundamentally accompanies any measurement. The signal-to–noise ratio can be particularly low in indoor environments where the radiated electromagnetic signals must be kept weak.
Automated Source Code Generation and Auto-Completion Using Deep Learning: Comparing and Discussing Current Language Model-Related Approaches
Year 2021 face_with_colon_three
In recent years, the use of deep learning in language models has gained much attention. Some research projects claim that they can generate text that can be interpreted as human writing, enabling new possibilities in many application areas. Among the different areas related to language processing, one of the most notable in applying this type of modeling is programming languages. For years, the machine learning community has been research ing this software engineering area, pursuing goals like applying different approaches to auto-complete, generate, fix, or evaluate code programmed by humans. Considering the increasing popularity of the deep learning-enabled language models approach, we found a lack of empirical papers that compare different deep learning architectures to create and use language models based on programming code.
Tesla stock concerns lie around ‘brand damage’ from Elon Musk, Twitter: Analyst
This segment originally aired on December 28, 2022.
Colin Rusch, Oppenheimer & Co. Managing Director and Senior Research Analyst, sits down with Yahoo Finance Live anchors Seana Smith and Jared Blikre to talk about Tesla’s stock outlook in 2023 following Elon Musk’s invested interest in managing Twitter this past year.
Don’t Miss: Valley of Hype: The culture that built Elizabeth Holmes.
WATCH HERE:
About Yahoo Finance:
At Yahoo Finance, you get free stock quotes, up-to-date news, portfolio management resources, international market data, social interaction and mortgage rates that help you manage your financial life.
Yahoo Finance Plus: With a subscription to Yahoo Finance Plus get the tools you need to invest with confidence. Discover new opportunities with expert research and investment ideas backed by technical and fundamental analysis. Optimize your trades with advanced portfolio insights, fundamental analysis, enhanced charting, and more.
To learn more about Yahoo Finance Plus please visit: https://yhoo.it/33jXYBp.
Connect with Yahoo Finance:
Get the latest news: https://yhoo.it/2fGu5Bb.
Find Yahoo Finance on Facebook: http://bit.ly/2A9u5Zq.
Follow Yahoo Finance on Twitter: http://bit.ly/2LMgloP
Follow Yahoo Finance on Instagram: http://bit.ly/2LOpNYz.
Follow Yahoo Finance Premium on Twitter: https://bit.ly/3hhcnmV
Artificial Intelligence and the future of humans
https://youtube.com/watch?v=r7-S31eA7mo&feature=share
Welcome to our latest video on the future of artificial intelligence! In this episode, we’ll be exploring the question is.
AI a friend or an enemy, and will they be a potential threat to humanity?
On the one hand, AI has the potential to revolutionize many industries and make our lives easier. From self-driving cars to virtual assistants, AI has already made some incredible advancements in recent years.
On the other hand, there are valid concerns about the potential dangers of AI. Some experts have warned that AI could eventually surpass human intelligence and potentially even pose a threat to our very existence.
So what’s the truth? In this video, we’ll take a look at both sides of the argument and try to answer the question: should we fear AI or embrace it? We’ll also be discussing the ethical considerations surrounding AI and what the future may hold for this rapidly evolving technology.
Stay tuned for a thought-provoking discussion on the future of artificial intelligence.
Inside Matrix, the protocol that might finally make messaging apps interoperable
After years of walled gardens, cross-pollination could be in sight.
Interoperability and decentralization.
Interoperability and decentralization have been major themes in tech this year, driven in large part by mounting regulation, societal and industrial pressure and the hype trains that are crypto and web3. That rising tide is lifting other boats, such as an open standards-based communication protocol called Matrix — which is playing a part in bringing interoperability to another proprietary part of our digital lives: messaging.
The number of people on the Matrix network doubled in size this year, according to Matthew Hodgson, one of Matrix’s co-creators — a notable, if modest, boost to 80.3 million users (that number may be higher; not all Matrix deployments “phone home” stats to Matrix.org).
While the bulk of all this activity has been in enterprise communications, it looks like mainstream consumer platforms might now also be taking notice.
Thermonuclear neutron emission from a sheared-flow stabilized Z-pinch
Year 2021 viable fusion reactor in a z pinch device which is compact enough to fit in a van or airplane ✈️ 😀
The fusion Z-pinch experiment (FuZE) is a sheared-flow stabilized Z-pinch designed to study the effects of flow stabilization on deuterium plasmas with densities and temperatures high enough to drive nuclear fusion reactions. Results from FuZE show high pinch currents and neutron emission durations thousands of times longer than instability growth times. While these results are consistent with thermonuclear neutron emission, energetically resolved neutron measurements are a stronger constraint on the origin of the fusion production. This stems from the strong anisotropy in energy created in beam-target fusion, compared to the relatively isotropic emission in thermonuclear fusion. In dense Z-pinch plasmas, a potential and undesirable cause of beam-target fusion reactions is the presence of fast-growing, “sausage” instabilities. This work introduces a new method for characterizing beam instabilities by recording individual neutron interactions in plastic scintillator detectors positioned at two different angles around the device chamber. Histograms of the pulse-integral spectra from the two locations are compared using detailed Monte Carlo simulations. These models infer the deuteron beam energy based on differences in the measured neutron spectra at the two angles, thereby discriminating beam-target from thermonuclear production. An analysis of neutron emission profiles from FuZE precludes the presence of deuteron beams with energies greater than 4.65 keV with a statistical uncertainty of 4.15 keV and a systematic uncertainty of 0.53 keV. This analysis demonstrates that axial, beam-target fusion reactions are not the dominant source of neutron emission from FuZE. These data are promising for scaling FuZE up to fusion reactor conditions.
The authors would like to thank Bob Geer and Daniel Behne for technical assistance, as well as Amanda Youmans, Christopher Cooper, and Clément Goyon for advice and discussions. The authors would also like to thank Phil Kerr and Vladimir Mozin for the use of their Thermo Fisher P385 neutron generator, which was important in verifying the ability to measure neutron energy shifts via the pulse integral technique. The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency—Energy (ARPA-E), U.S. Department of Energy, under Award Nos. DE-AR-0000571, 18/CJ000/05/05, and DE-AR-0001160. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344 and Lawrence Berkeley National Laboratory under Contract No. DE-AC02-05CH11231. U.