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Wildfire smoke is an insidious and growing public health threat 

Wildfire smoke is an insidious and growing public health threat 

Wildfire smoke is the air quality nightmare of our generation, eating away at previous gains made by cracking down on industrial emissions and tailpipe pollution. Constant exposure to smoke is becoming a chronic threat even in places that historically haven’t had many wildfires.

Climate change is priming forests to burn more intensely, which means more harmful substances in soil, fuels, homes and whatever else burns going up in smoke — and potentially making their way into our lungs. All that smoke is projected to lead to tens of thousands more premature deaths in the coming years, according to a pair of eye-opening research papers published today in the journal Nature.

The findings are a call to action as much as they are a warning. There are clear steps we can take to limit that risk and keep people healthy. But it starts with acknowledging that climate change can hurt public health in ways many of us have already experienced but may not have realized.

“Increasing wildfire smoke is a lived experience now for most people around the US.”

“Increasing wildfire smoke is a lived experience now for most people around the US,” Marshall Burke, a professor at Stanford University and a co-author of one of the papers, said in a briefing with reporters. “Growing wildfire smoke is a much larger health risk than we might have understood previously. One thing that we hope that our study and findings will do is help people understand that risk and thus help us better prepare both as individuals and as communities, but also more broadly, as a society.”

Small particulate pollution from wildfire smoke could lead to more than 70,000 excess deaths each year by 2050 if planet-heating emissions from fossil fuels continue to climb at a business-as-usual pace, Burke and his colleagues found using an ensemble of statistical and machine-learning models. That’s a more than 70 percent increase from the 40,000 excess deaths on average each year over roughly the past decade that the study attributes to wildfire smoke exposure. Translated into economic losses, a common way to quantify health impacts in research, the study finds that the toll would exceed prior estimates for all other climate-related economic damages in the US combined.

Those estimates are higher than previous studies on the health impacts of climate change, primarily because Burke and his co-authors are taking into account the unique effects that particles from wildfire smoke can have on the human body compared to a more generic classification of particulate pollution that typically includes emissions from other sources like factories and cars.

Our understanding of how exactly wildfire smoke affects the body is still a work in progress, in part because it wasn’t always such a consistent source of air pollution. There’s plenty of evidence, of course, that small particulate matter in general can penetrate into the lungs and bloodstream where it can damage our respiratory and cardiovascular systems. Additional problems could crop up depending on what was in the material that burned, and this is sort of a crap shoot when it comes to wildfire smoke. You might find the neurotoxin lead or the carcinogen hexavalent chromium in wildfire smoke, for example, if the heavy metals happen to be in the soil that burns. If the blaze reaches homes or buildings, that creates new risks from chemical-laden products in those structures that go up in flames. Small particles from wildfires can be up to 10 times as toxic as other types of particulate pollution, another study published in Nature in 2021 found.

Estimates of wildfire smoke-linked premature deaths in the US are based on data from fires between 2001 and 2021, and recorded deaths between 2006 and 2019. That avoids complications from including data during the covid-19 pandemic, but it also excludes some of the most extreme wildfire smoke events recently — like when smoke from infernos in Canada turned skies orange in the northeast US in 2023. As a result, the study might actually underestimate the health impact of wildfire smoke along the east coast of the US, its authors say. New York and Pennsylvania are among the top five states predicted to see the biggest increases in smoke-related premature deaths, according to the study. They join states out west — California, Washington, and Texas — historically more notorious for dangerous wildfire seasons.

The number of large fires doubled in the western US between 1984 and 2015 as rising temperatures create more arid conditions that dry out forest vegetation faster. Similar trends are playing out around the world. The number of premature deaths from wildfire smoke globally could grow sixfold, reaching 1.4 million each year by the end of the century, the other Nature study published today found through a machine learning-based approach trained on historical data from burned areas.

These scenarios aren’t necessarily baked into our future, giving us time to act. “The key technology here, as best we understand, is filtration,” Burke says, mentioning portable air filters and central HVAC systems that can help reduce exposure to wildfire smoke today. The issue is making sure this solution is available across the board. “Many people can afford a few hundred-dollar filter, others cannot, and so we need to make sure that people have access,” he says. And there are other things people can do to protect themselves at low cost, including following air quality alerts and taking precautions like closing windows even on moderately smokey days.

It’s going to take broader changes to protect public health, including rethinking the way we fight fires. Efforts to suppress all naturally occurring fires have led to a buildup of dead and drying vegetation in America’s forests, enough fuel to make fires more explosive than they otherwise would have been. Fires are a normal part of many ecosystems, and some Indigenous peoples have traditionally practiced controlled burns to manage their lands and maintain forest health. Controlled fires, also called prescribed burns, create smoke too, of course. But the risks are more easily mitigated by controlling where and when the fire burns, avoiding urban areas and very windy days.

“This is going to be a trade off,” says Minghao Qiu, a professor at Stony Brook University and one of Burke’s coauthors. But “we’ll be able to manage our vegetation and that will reduce the likelihood of future catastrophic fire risk.”

Now, the US — under a president who has called climate change a hoax and is undermining research and action on the problem to try to boost fossil fuel profits — is proposing eliminating limits to the greenhouse gas pollution heating the planet. To do so, the Environmental Protection Agency under the Trump administration is attempting to rescind its previous pivotal finding that greenhouse gas emissions endanger public health. The agency is accepting public comment on the matter until September 22nd.

This new study just adds to the mountains of research that shows climate change, caused by greenhouse gases, absolutely threatens public health. “Our results provide some of the strongest evidence that a warming climate endangers the health of US citizens,” Burke says.

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Speech-to-text capability is now baked into all modern computers. But what if you didn’t have to dictate to your computer? What if you could type just by thinking?

Silicon Valley startup Sabi is emerging from stealth with that goal. The company is developing a brain wearable that decodes a person’s internal speech into words on a computer screen. CEO Rahul Chhabra says its first product, a brain-reading beanie, will be available by the end of the year. The company is also designing a baseball cap version.

The technology is known as a brain-computer interface, or BCI, a device that provides a direct communication pathway between the brain and an external device. While many companies such as Elon Musk’s Neuralink are developing surgically implanted BCIs for people with severe motor disabilities, Sabi’s device could allow anyone to become a cyborg.

It’s not exactly Musk’s vision of the future, which involves implanted brain chips to allow humans to merge with AI. But venture capitalist Vinod Khosla, who was an early investor in OpenAI, says a noninvasive, wearable device is the only path to getting lots of people to use BCI technology.

“The biggest and baddest application of BCI is if you can talk to your computer by thinking about it,” says Khosla, founder of Khosla Ventures, one of Sabi’s investors. “If you’re going to have a billion people use BCI for access to their computers every day, it can’t be invasive.”

Sabi’s brain-reading hat relies on EEG, or electroencephalography, which uses metal disks placed on the scalp to record the brain’s electrical activity. Decoding imagined speech from EEG is already possible, but it’s currently limited to small sets of words or commands rather than continuous, natural speech.

A very small chip shown on the pad of a finger to illustrate it's tiny scale

Photograph: Courtesy of Sabi

The drawback of a wearable system is that the sensors have to listen to the brain through a layer of skin and bone, which dampens neural signals. Surgically implanted devices pick up much stronger signals because they sit so close to neurons. Sabi thinks the way to boost accuracy with a wearable is by massively scaling up the number of sensors in its device. Most EEG devices have a dozen to a few hundred sensors. Sabi’s cap will have anywhere from 70,000 to 100,000 miniature sensors.

“Given that high-density sensing, it pinpoints exactly what and where neural activity is happening. We use that information to get much more reliable data to decode what a person is thinking,” Chhabra says.

The company is aiming for an initial typing speed of 30 or so words per minute. That’s slower than most people type, but he says the speed will improve as users spend more time with the cap.

#Beanie #Designed #Read #Thoughtswearables,neuroscience,artificial intelligence,brain-computer interfaces">This Beanie Is Designed to Read Your ThoughtsSpeech-to-text capability is now baked into all modern computers. But what if you didn’t have to dictate to your computer? What if you could type just by thinking?Silicon Valley startup Sabi is emerging from stealth with that goal. The company is developing a brain wearable that decodes a person’s internal speech into words on a computer screen. CEO Rahul Chhabra says its first product, a brain-reading beanie, will be available by the end of the year. The company is also designing a baseball cap version.The technology is known as a brain-computer interface, or BCI, a device that provides a direct communication pathway between the brain and an external device. While many companies such as Elon Musk’s Neuralink are developing surgically implanted BCIs for people with severe motor disabilities, Sabi’s device could allow anyone to become a cyborg.It’s not exactly Musk’s vision of the future, which involves implanted brain chips to allow humans to merge with AI. But venture capitalist Vinod Khosla, who was an early investor in OpenAI, says a noninvasive, wearable device is the only path to getting lots of people to use BCI technology.“The biggest and baddest application of BCI is if you can talk to your computer by thinking about it,” says Khosla, founder of Khosla Ventures, one of Sabi’s investors. “If you’re going to have a billion people use BCI for access to their computers every day, it can’t be invasive.”Sabi’s brain-reading hat relies on EEG, or electroencephalography, which uses metal disks placed on the scalp to record the brain’s electrical activity. Decoding imagined speech from EEG is already possible, but it’s currently limited to small sets of words or commands rather than continuous, natural speech.Photograph: Courtesy of SabiThe drawback of a wearable system is that the sensors have to listen to the brain through a layer of skin and bone, which dampens neural signals. Surgically implanted devices pick up much stronger signals because they sit so close to neurons. Sabi thinks the way to boost accuracy with a wearable is by massively scaling up the number of sensors in its device. Most EEG devices have a dozen to a few hundred sensors. Sabi’s cap will have anywhere from 70,000 to 100,000 miniature sensors.“Given that high-density sensing, it pinpoints exactly what and where neural activity is happening. We use that information to get much more reliable data to decode what a person is thinking,” Chhabra says.The company is aiming for an initial typing speed of 30 or so words per minute. That’s slower than most people type, but he says the speed will improve as users spend more time with the cap.#Beanie #Designed #Read #Thoughtswearables,neuroscience,artificial intelligence,brain-computer interfaces

modern computers. But what if you didn’t have to dictate to your computer? What if you could type just by thinking?

Silicon Valley startup Sabi is emerging from stealth with that goal. The company is developing a brain wearable that decodes a person’s internal speech into words on a computer screen. CEO Rahul Chhabra says its first product, a brain-reading beanie, will be available by the end of the year. The company is also designing a baseball cap version.

The technology is known as a brain-computer interface, or BCI, a device that provides a direct communication pathway between the brain and an external device. While many companies such as Elon Musk’s Neuralink are developing surgically implanted BCIs for people with severe motor disabilities, Sabi’s device could allow anyone to become a cyborg.

It’s not exactly Musk’s vision of the future, which involves implanted brain chips to allow humans to merge with AI. But venture capitalist Vinod Khosla, who was an early investor in OpenAI, says a noninvasive, wearable device is the only path to getting lots of people to use BCI technology.

“The biggest and baddest application of BCI is if you can talk to your computer by thinking about it,” says Khosla, founder of Khosla Ventures, one of Sabi’s investors. “If you’re going to have a billion people use BCI for access to their computers every day, it can’t be invasive.”

Sabi’s brain-reading hat relies on EEG, or electroencephalography, which uses metal disks placed on the scalp to record the brain’s electrical activity. Decoding imagined speech from EEG is already possible, but it’s currently limited to small sets of words or commands rather than continuous, natural speech.

A very small chip shown on the pad of a finger to illustrate it's tiny scale

Photograph: Courtesy of Sabi

The drawback of a wearable system is that the sensors have to listen to the brain through a layer of skin and bone, which dampens neural signals. Surgically implanted devices pick up much stronger signals because they sit so close to neurons. Sabi thinks the way to boost accuracy with a wearable is by massively scaling up the number of sensors in its device. Most EEG devices have a dozen to a few hundred sensors. Sabi’s cap will have anywhere from 70,000 to 100,000 miniature sensors.

“Given that high-density sensing, it pinpoints exactly what and where neural activity is happening. We use that information to get much more reliable data to decode what a person is thinking,” Chhabra says.

The company is aiming for an initial typing speed of 30 or so words per minute. That’s slower than most people type, but he says the speed will improve as users spend more time with the cap.

#Beanie #Designed #Read #Thoughtswearables,neuroscience,artificial intelligence,brain-computer interfaces">This Beanie Is Designed to Read Your Thoughts

Speech-to-text capability is now baked into all modern computers. But what if you didn’t have to dictate to your computer? What if you could type just by thinking?

Silicon Valley startup Sabi is emerging from stealth with that goal. The company is developing a brain wearable that decodes a person’s internal speech into words on a computer screen. CEO Rahul Chhabra says its first product, a brain-reading beanie, will be available by the end of the year. The company is also designing a baseball cap version.

The technology is known as a brain-computer interface, or BCI, a device that provides a direct communication pathway between the brain and an external device. While many companies such as Elon Musk’s Neuralink are developing surgically implanted BCIs for people with severe motor disabilities, Sabi’s device could allow anyone to become a cyborg.

It’s not exactly Musk’s vision of the future, which involves implanted brain chips to allow humans to merge with AI. But venture capitalist Vinod Khosla, who was an early investor in OpenAI, says a noninvasive, wearable device is the only path to getting lots of people to use BCI technology.

“The biggest and baddest application of BCI is if you can talk to your computer by thinking about it,” says Khosla, founder of Khosla Ventures, one of Sabi’s investors. “If you’re going to have a billion people use BCI for access to their computers every day, it can’t be invasive.”

Sabi’s brain-reading hat relies on EEG, or electroencephalography, which uses metal disks placed on the scalp to record the brain’s electrical activity. Decoding imagined speech from EEG is already possible, but it’s currently limited to small sets of words or commands rather than continuous, natural speech.

A very small chip shown on the pad of a finger to illustrate it's tiny scale

Photograph: Courtesy of Sabi

The drawback of a wearable system is that the sensors have to listen to the brain through a layer of skin and bone, which dampens neural signals. Surgically implanted devices pick up much stronger signals because they sit so close to neurons. Sabi thinks the way to boost accuracy with a wearable is by massively scaling up the number of sensors in its device. Most EEG devices have a dozen to a few hundred sensors. Sabi’s cap will have anywhere from 70,000 to 100,000 miniature sensors.

“Given that high-density sensing, it pinpoints exactly what and where neural activity is happening. We use that information to get much more reliable data to decode what a person is thinking,” Chhabra says.

The company is aiming for an initial typing speed of 30 or so words per minute. That’s slower than most people type, but he says the speed will improve as users spend more time with the cap.

#Beanie #Designed #Read #Thoughtswearables,neuroscience,artificial intelligence,brain-computer interfaces

Val Kilmer AI deepfake film As Deep as the Grave has just released its first trailer. The internet has responded with overwhelming disgust.

A widely recognised actor known for his roles in films such as Top Gun, Batman Forever, and Kiss Kiss Bang Bang, Kilmer died from pneumonia last April at 65 years old. Upcoming film As Deep as the Grave has now used generative AI to create a digital puppet in Kilmer’s likeness, having it portray a character appearing in “a significant part” of the historical film.

As Deep as the Grave follows married archaeologists Ann Axtell Morris (Abigail Lawrie) and Earl H. Morris (Tom Felton), who conducted fieldwork in the U.S. southwest during the 1920s. Kilmer’s AI-generated likeness will be used to depict Father Fintan, a Catholic priest who is also a Native American spiritualist. The film also features Abigail Breslin, Wes Studi, and Finn Jones.

Though Kilmer was cast in As Deep as the Grave prior to his death, delays in production and issues with his health meant he never shot any scenes. Kilmer had previously given a tech-assisted performance in Top Gun: Maverick, which digitally altered his real voice. He also worked with UK company Sonantic to create an AI speaking voice based on his old recordings. However, As Deep as the Grave will be the first time his likeness and voice will be completely AI-generated in a film.

“Very fitting that this trailer includes a scene where a corpse is unceremoniously yanked out of the ground,” read one of the top comments on As Deep as the Grave‘s trailer at time of writing.

CGI likenesses of deceased actors have been used in feature films before. In 2016, Rogue One: A Star Wars Story gained attention for using CGI and motion capture to resurrect Peter Cushing and portray a younger Carrie Fisher for a few minutes of the film. In 2015, Furious 7 used similar techniques to insert Paul Walker into the remainder of the film after he died mid-shoot. Though Furious 7 largely received a pass due to the circumstances, Rogue One received criticism regarding the ethics of its CGI Cushing. Using generative AI to completely create a performance out of nothing appears to go a step even further, completely removing any actors from the process.

Writer and director Coerte Voorhees told Variety that he chose to use AI rather than recast the role due to budget constraints, and that Kilmer’s children gave the project their blessing. Even so, online commenters have labelled it disgusting and disrespectful, not only for digitally reanimating Kilmer but also for the damaging precedent As Deep as the Grave‘s use of AI could set for the film industry as a whole.

#Val #Kilmer #deepfake #Deep #Grave #trailer #sparks #outrage">Val Kilmer AI deepfake in ‘As Deep as the Grave’ trailer sparks outrage
                        Val Kilmer AI deepfake film As Deep as the Grave has just released its first trailer. The internet has responded with overwhelming disgust.A widely recognised actor known for his roles in films such as Top Gun, Batman Forever, and Kiss Kiss Bang Bang, Kilmer died from pneumonia last April at 65 years old. Upcoming film As Deep as the Grave has now used generative AI to create a digital puppet in Kilmer’s likeness, having it portray a character appearing in “a significant part” of the historical film.As Deep as the Grave follows married archaeologists Ann Axtell Morris (Abigail Lawrie) and Earl H. Morris (Tom Felton), who conducted fieldwork in the U.S. southwest during the 1920s. Kilmer’s AI-generated likeness will be used to depict Father Fintan, a Catholic priest who is also a Native American spiritualist. The film also features Abigail Breslin, Wes Studi, and Finn Jones.Though Kilmer was cast in As Deep as the Grave prior to his death, delays in production and issues with his health meant he never shot any scenes. Kilmer had previously given a tech-assisted performance in Top Gun: Maverick, which digitally altered his real voice. He also worked with UK company Sonantic to create an AI speaking voice based on his old recordings. However, As Deep as the Grave will be the first time his likeness and voice will be completely AI-generated in a film.“Very fitting that this trailer includes a scene where a corpse is unceremoniously yanked out of the ground,” read one of the top comments on As Deep as the Grave‘s trailer at time of writing.
CGI likenesses of deceased actors have been used in feature films before. In 2016, Rogue One: A Star Wars Story gained attention for using CGI and motion capture to resurrect Peter Cushing and portray a younger Carrie Fisher for a few minutes of the film. In 2015, Furious 7 used similar techniques to insert Paul Walker into the remainder of the film after he died mid-shoot. Though Furious 7 largely received a pass due to the circumstances, Rogue One received criticism regarding the ethics of its CGI Cushing. Using generative AI to completely create a performance out of nothing appears to go a step even further, completely removing any actors from the process.Writer and director Coerte Voorhees told Variety that he chose to use AI rather than recast the role due to budget constraints, and that Kilmer’s children gave the project their blessing. Even so, online commenters have labelled it disgusting and disrespectful, not only for digitally reanimating Kilmer but also for the damaging precedent As Deep as the Grave‘s use of AI could set for the film industry as a whole.



                            
                    
                
                    #Val #Kilmer #deepfake #Deep #Grave #trailer #sparks #outrage

Val Kilmer AI deepfake film As Deep as the Grave has just released its first trailer. The internet has responded with overwhelming disgust.

A widely recognised actor known for his roles in films such as Top Gun, Batman Forever, and Kiss Kiss Bang Bang, Kilmer died from pneumonia last April at 65 years old. Upcoming film As Deep as the Grave has now used generative AI to create a digital puppet in Kilmer’s likeness, having it portray a character appearing in “a significant part” of the historical film.

As Deep as the Grave follows married archaeologists Ann Axtell Morris (Abigail Lawrie) and Earl H. Morris (Tom Felton), who conducted fieldwork in the U.S. southwest during the 1920s. Kilmer’s AI-generated likeness will be used to depict Father Fintan, a Catholic priest who is also a Native American spiritualist. The film also features Abigail Breslin, Wes Studi, and Finn Jones.

Though Kilmer was cast in As Deep as the Grave prior to his death, delays in production and issues with his health meant he never shot any scenes. Kilmer had previously given a tech-assisted performance in Top Gun: Maverick, which digitally altered his real voice. He also worked with UK company Sonantic to create an AI speaking voice based on his old recordings. However, As Deep as the Grave will be the first time his likeness and voice will be completely AI-generated in a film.

“Very fitting that this trailer includes a scene where a corpse is unceremoniously yanked out of the ground,” read one of the top comments on As Deep as the Grave‘s trailer at time of writing.

CGI likenesses of deceased actors have been used in feature films before. In 2016, Rogue One: A Star Wars Story gained attention for using CGI and motion capture to resurrect Peter Cushing and portray a younger Carrie Fisher for a few minutes of the film. In 2015, Furious 7 used similar techniques to insert Paul Walker into the remainder of the film after he died mid-shoot. Though Furious 7 largely received a pass due to the circumstances, Rogue One received criticism regarding the ethics of its CGI Cushing. Using generative AI to completely create a performance out of nothing appears to go a step even further, completely removing any actors from the process.

Writer and director Coerte Voorhees told Variety that he chose to use AI rather than recast the role due to budget constraints, and that Kilmer’s children gave the project their blessing. Even so, online commenters have labelled it disgusting and disrespectful, not only for digitally reanimating Kilmer but also for the damaging precedent As Deep as the Grave‘s use of AI could set for the film industry as a whole.

#Val #Kilmer #deepfake #Deep #Grave #trailer #sparks #outrage">Val Kilmer AI deepfake in ‘As Deep as the Grave’ trailer sparks outrage

Val Kilmer AI deepfake film As Deep as the Grave has just released its first trailer. The internet has responded with overwhelming disgust.

A widely recognised actor known for his roles in films such as Top Gun, Batman Forever, and Kiss Kiss Bang Bang, Kilmer died from pneumonia last April at 65 years old. Upcoming film As Deep as the Grave has now used generative AI to create a digital puppet in Kilmer’s likeness, having it portray a character appearing in “a significant part” of the historical film.

As Deep as the Grave follows married archaeologists Ann Axtell Morris (Abigail Lawrie) and Earl H. Morris (Tom Felton), who conducted fieldwork in the U.S. southwest during the 1920s. Kilmer’s AI-generated likeness will be used to depict Father Fintan, a Catholic priest who is also a Native American spiritualist. The film also features Abigail Breslin, Wes Studi, and Finn Jones.

Though Kilmer was cast in As Deep as the Grave prior to his death, delays in production and issues with his health meant he never shot any scenes. Kilmer had previously given a tech-assisted performance in Top Gun: Maverick, which digitally altered his real voice. He also worked with UK company Sonantic to create an AI speaking voice based on his old recordings. However, As Deep as the Grave will be the first time his likeness and voice will be completely AI-generated in a film.

“Very fitting that this trailer includes a scene where a corpse is unceremoniously yanked out of the ground,” read one of the top comments on As Deep as the Grave‘s trailer at time of writing.

CGI likenesses of deceased actors have been used in feature films before. In 2016, Rogue One: A Star Wars Story gained attention for using CGI and motion capture to resurrect Peter Cushing and portray a younger Carrie Fisher for a few minutes of the film. In 2015, Furious 7 used similar techniques to insert Paul Walker into the remainder of the film after he died mid-shoot. Though Furious 7 largely received a pass due to the circumstances, Rogue One received criticism regarding the ethics of its CGI Cushing. Using generative AI to completely create a performance out of nothing appears to go a step even further, completely removing any actors from the process.

Writer and director Coerte Voorhees told Variety that he chose to use AI rather than recast the role due to budget constraints, and that Kilmer’s children gave the project their blessing. Even so, online commenters have labelled it disgusting and disrespectful, not only for digitally reanimating Kilmer but also for the damaging precedent As Deep as the Grave‘s use of AI could set for the film industry as a whole.

#Val #Kilmer #deepfake #Deep #Grave #trailer #sparks #outrage

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