car crash
Crash victims honoured at basketball matches
Four students killed in a car crash were honoured at a university as basketball matches resumed for the first time since the incident. Makyle Bayley, 22, Eva Darold-Tchikaya, 21, Anthony "TJ" Hibbert, 24 and Daljang Wol, 22, died when a car crashed into a building on Magdalen Street, Colchester on 1 February. Mr Hibbert and Mr Wol played for the Essex Rebels, who dedicated Saturday's fixtures to the victims and held an applause in their memory. University of Essex director of sport Dave Parry said: "We've lost four really loved members of our university and sporting community, who gave so much to their friends and others." Mr Bayley was a member of the British Universities and Colleges Sport (BUCS) basketball team, while Ms Darold-Tchikaya was a member of the Essex Blades dance club and other societies.Dawid Wojtowicz/BBCSaturday's basketball fixtures at the University of Essex were dedicated to the victimsDawid Wojtowicz/BBCIt was the first time matches had been played there since the incident Last week, more than 1,000 people including students, staff and relatives of the victims attended a gathering.
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Microplastics look like a 'car crash' in mice brains
Microplastics are everywhere, both across nature and inside our bodies. And while evidence shows these synthetic particulates aren't great for you, the medical community still isn't entirely sure how the plastic specifically affects health, as well as its influence on preexisting conditions like an increased risk of heart attack or stroke. For the first time, however, experts succeeded in visually tracking the movement of microplastics through brain blood vessels in mice--and the pile-ups resembled a microscopic "car crash." The findings, published in the journal Science Advances by a team at Beijing's Peking University, expand on existing research already showcasing microplastic's potential neurotoxicity. "Nanoscale plastics can breach the blood-brain barrier, [but] how [microplastics] cause brain functional irregularities remains unclear," wrote the study's authors.
Improved Beam Search for Hallucination Mitigation in Abstractive Summarization
Sridhar, Arvind Krishna, Visser, Erik
Advancement in large pretrained language models has significantly improved their performance for conditional language generation tasks including summarization albeit with hallucinations. To reduce hallucinations, conventional methods proposed improving beam search or using a fact checker as a postprocessing step. In this paper, we investigate the use of the Natural Language Inference (NLI) entailment metric to detect and prevent hallucinations in summary generation. We propose an NLI-assisted beam re-ranking mechanism by computing entailment probability scores between the input context and summarization model-generated beams during saliency-enhanced greedy decoding. Moreover, a diversity metric is introduced to compare its effectiveness against vanilla beam search. Our proposed algorithm significantly outperforms vanilla beam decoding on XSum and CNN/DM datasets.
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- Government > Regional Government > Europe Government > United Kingdom Government (1.00)
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- Transportation (0.68)
'Driverless' Car Crashes Into Motorcycle And Injures 2, Video Shows
It may sound rather supernatural! But a "driverless" car – not a self-driving vehicle –parked at a gas station in India started moving on its own and rammed into a two-wheeler, dragging its driver and the pillion rider for several meters. The shocking incident was captured on the surveillance camera. It happened in the city of Guwahati in the northeastern state of Assam on Nov. 8, Network 18 reported. The vehicle did not appear to be a self-driving model. Warning: The video may be disturbing to some readers.
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- North America > United States > California > Los Angeles County > Los Angeles (0.07)
- North America > United States > California > Los Angeles County > Culver City (0.07)
- Transportation > Passenger (1.00)
- Transportation > Ground > Road (1.00)
Nearly 400 car crashes in 11 months involved automated tech, companies tell regulators
A Tesla owner charges his vehicle in April 2021 at a charging station in Topeka, Kan.. Tesla reported 273 crashes involving partially automated driving systems, according to statistics released by U.S. safety regulators on Wednesday. A Tesla owner charges his vehicle in April 2021 at a charging station in Topeka, Kan.. Tesla reported 273 crashes involving partially automated driving systems, according to statistics released by U.S. safety regulators on Wednesday. Automakers reported nearly 400 crashes of vehicles with partially automated driver-assist systems, including 273 involving Teslas, according to statistics released Wednesday by U.S. safety regulators. The National Highway Traffic Safety Administration cautioned against using the numbers to compare automakers, saying it didn't weight them by the number of vehicles from each manufacturer that use the systems, or how many miles those vehicles traveled. Automakers reported crashes from July of last year through May 15 under an order from the agency, which is examining such crashes broadly for the first time.
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- North America > United States > Arizona (0.05)
It's How AI is Preventing Accidents and Protecting Drivers
While many people think that Tesla was the first car company to come up with the idea, manufacturers have actually been toying with the concept of autonomous vehicles since the 1930s. In 1939, an exhibit at the New York World's Fair called "Futurama" envisioned a world 20 years into the future in which an automated highway system would guide autonomous vehicles. As with other technological advancements, the idea of self-driving cars would have to wait until our technology had caught up to our drive for innovation. Self-driving vehicles are going to have a significant impact on all aspects of our lives. They have the potential to clean up our air (especially if the cars are electric) and make our commutes more enjoyable.
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- Transportation > Ground > Road (1.00)
- Transportation > Passenger (0.96)
The Ethical AI Question Of Whether Self-Driving Cars Ought To Be A Good Samaritan And Forewarn When Human-Driven Cars Are Going To Crash Into Each Other
When driving, mind your own business or help other drivers, that's the question to be pondered. That's also a common refrain and refers to the notion of being helpful to others, even though they might be complete strangers and you do not know them at all. Which of those two catchphrases or words of wisdom would you choose? You probably make daily decisions about those two possibilities. There are situations and settings wherein you opt to mind your own business. At times, it might be quite tempting to step into the middle of something, but you weigh the pros and cons of doing so, and then at times move along and do not get into the fray. On the other hand, there are times that you decide it is best to jump into the swimming pool, as it were, and get engaged. Let's turn this somewhat conceptual or philosophical discussion into something very grounded and real. I was driving my car the other day and had come up to an intersection to make a left turn.
- Transportation > Ground > Road (1.00)
- Transportation > Passenger (0.92)
The Ethical Debate About Whether AI Ought To Warn You When The Self-Driving Car That You Are Riding In Is About To Crash
Considering whether AI ought to warn human passengers about an impending crash or collision. We've all likely had our share of car crashes over the years. Let's trace the various published research underlying a somewhat simple but altogether crucial question, namely if you know that a crash is about to occur should you go limp or attempt to tighten and brace yourself. Turns out that the answer is complicated and often dependent upon the circumstances at hand. First, there is a popular assumption that you ought to let your body go loose or limp when an impending car crash is about to occur. Some claim that this ragdoll posturing will be advantageous. The purported logic is that we all know that a straight and narrow stick will presumably break and snap entirely when placed under intense pressure. As such, if you tense up, you are risking all manner of personal bodily damage. According to the sage wisdom of Confucius: "The reed which bends in the wind is stronger than the mighty oak which breaks in a storm." I don't believe though that Confucius had an opportunity to drive or ride in an automobile (he lived from 551 BC to 479 BC, while cars were essentially invented in the late 1880s).
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- Transportation > Ground > Road (1.00)
- Automobiles & Trucks (1.00)
Those Infuriating Drivers That Take Over The Left Lane And Prevent Passing Will Undoubtedly Be Stifling For AI Self-Driving Cars
Difficulties in left lane usage are common and exasperating. I'm referring to those darned drivers that sit in the left lane nearly forever, cruising leisurely along without a seeming care in the world, backing up traffic as they do so. You've undoubtedly been stuck behind such a driver. It is exasperating, infuriating, and altogether makes you want to bust a gasket. They get into the left lane and occupy the lane as though it is owned by them. On top of this, they decide to be the unofficial determiner of the allowed speed for the rest of nearby traffic. For example, even though the posted speed limit might be 65 miles per hour, the left lane hog will opt to go at say 55 miles per hour. There are lots of frequently cited reasons or excuses for this type of behavior. One claim is that they are going at the safest appropriate speed. This is based on the logic that the posted speed is the maximum allowed speed, which is not necessarily the safest allowed speed. Indeed, the driver's handbook clearly states that you should never assume that the posted speed is the speed that you are to be driving at.
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Self-Driving Cars That Snitch On Human Drivers For Bending Or Breaking Driving Laws
Will self-driving cars be snitches? Are you familiar with the expression that someone is a fink or a no-good dirty rat? Perhaps you might be more acquainted with other ways that this is commonly depicted such as those that are characterized as a weasel, a snitch, or a stoolie. Let's add to the matter a vexing ethical question, namely whether someone can be considered a stool pigeon or a squealer even if they are reporting on something that was an illegal or unlawful act? You would normally be tempted to assert that reporting a prohibited act is entirely appropriate and the tipster or whistleblower ought to be rewarded rather than ostracized as a tattler or snitch. Okay, consider a real-world example and see how you do. You are driving along on your daily journey to the office. There is a stop sign at an upcoming intersection.
- Transportation > Passenger (1.00)
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