Se pensi che il ginseng sia l'unica pianta con superpoteri, preparati a cambiare idea. Ti portiamo in Asia per farti scoprire il Jiaogulan, una pianta che la medicina tradizionale chiama "ginseng del sud" o, ancora più suggestivamente, la "pianta dell'immortalità". Ma non è una favola. Il Jiaogulan è un potentissimo adattogeno che aiuta il tuo corpo a reagire meglio allo stress. Leggi il nostro post per scoprire come, dalla salute del cuore alla gestione della glicemia, questo alleato naturale può fare la differenza per il tuo benessere.
And the majority of Mastodon users will think that Gargron has introduced quote-posts to the Fediverse.
What next to nobody on Mastodon knows is that the Fediverse has had quote-posts for a bit over 15 years, namely since the launch of Mistpark (today known as Friendica) in 2010. That's not only longer than the term "Fediverse" is old, it's also longer than Mastodon has been around.
For as long as Mastodon has existed, it has been possible to quote-post just about anyone and anything on Mastodon.
Oh, and for as long as Mastodon will exist, the non-Fediverse will be able to quote-post any and all public Mastodon toots with zero resistance, opt-in or opt-out or not.
yes. it is a square sensor that the phone crops automatically to be a a rectangle. so it can take photos on landscape or portrait no matter if the phone physically vertical or horizontal.
Patatine, tortillas e snack croccanti: sono una tentazione irresistibile, ma cosa c'è dietro quel sapore che ci fa quasi dipendere? Non vogliamo fare allarmismo, ma svelare la verità che l'industria del "benessere" tende a nascondere. Se consumi questi prodotti regolarmente, senza saperlo stai dando un carico extra al tuo corpo. Grassi raffinati, tossine da cottura e un mix di sodio e additivi possono contribuire a infiammazione, problemi metabolici e molto altro. Leggi il nostro post per capire cosa mangi e come fare scelte più informate, senza rinunciare a tutto.
A proposito dei ricchi e motivi per odiarli, ho trovato questo video che spiega quanto la situazione è greve con la Valle del Silicio… o meglio, ciò che un tempo era il posto del silicio e oggi è diventato il posto dello schifo, il quartier generale di centinaia di signori del male digitale, per mano […]
A proposito dei ricchi e motivi per odiarli, ho trovato questo video che spiega quanto la situazione è greve con la Valle del Silicio… o meglio, ciò che un tempo era il posto del silicio e oggi è diventato il posto dello schifo, il quartier generale di centinaia di signori del male digitale, per mano dei quali la parola “utente” assume un significato più distante dall’accezione informatica e più vicino a quello con cui gli spacciatori si riferiscono a chi compra le loro schifezze… 😷
I techbro di queste grosse aziende (non nello specifico le FAANG, anche centinaia di “minori”) sono non solo stronzi, in quanto perfettamente consapevoli di contribuire direttamente alla creazione di prodotti e servizi equiparabili a droga, software sempre in qualche modo dannoso per la psiche umana, nonostante sono loro che fanno le decisioni (insomma, parlo più di manager e salcazzi vari, non coloro che scrivono il codice sotto gli ordini dei draghi sputafuoco; anche se, qualora siano molto ricchi anche loro, non saranno risparmiati)… Sono soprattutto giganteschi ipocriti, che in primis si fanno riserve sull’usare la loro stessa tecnologia! 🤮
Il video fa diversi esempi, uno più allucinante dell’altro, ma secondo me il peggiore (cioè, quello che funziona meglio) è il fatto che i techbro restringono questa tecnologia in famiglia, andando dal non usarla a casa fino al bandirla completamente ai figli! Probabilmente molti conoscono quello che all’epoca pareva un caso eclatante, cioè che Steve Jobs non lasciava usare ai suoi figli (piccoli?) iPod e iPad… ma io ignoravo (e penso quasi tutti, altrimenti la società non sarebbe come è oggi) che nel salotto cattivo della California questa fosse praticamente la norma… 😱
…Ma, non solo niente tecnologie smart moderne AI agile connection cloud touch ai figli, ma addirittura niente in generale… neanche a scuola: li mandano in istituti di primo e secondo grado che costano più di una fottuta università (ricchi di merda) e dove, a differenza di qualsiasi scuola per persone normali, per i figli del popolo e non di un élite dei miei coglioni, tutto viene fatto senza alcuna tecnologia, perché si ritiene (forse non a torto, stando alle statistiche) che evitarla completamente porti più pro che contro nell’ambito dell’istruzione. E se è davvero così come si pensa, è gravissimo, perché vorrebbe dire (come se non ci fossero già altre mille conferme a riguardo, vabbé) che tutta la storiella delle pari opportunità sotto il nostro sistema economico, che ognuno può “farsi da sé”, è una stronzata colossale: i bambini non hanno margine di manovra, e non sono loro che scelgono se andare ad una scuola per ricchi dove imparano veramente, o una normale dove si brainrottano. 😫
Ora, io personalmente spero che questi bambini non stiano totalmente a secco di tecnologia, perché sarebbe triste… cioè spero abbiano almeno un 3DS per fare il gaming e magari foto e video, e quantomeno un PC a casa per rovinarsi già in tenera età con il coding, o fare un server Minecraft, o creare siti web, non lo so… Però, a parte la mia opinione personale, la situazione è oggettivamente vomitevole. Questi ricchi bastardi, che sono per esempio capi di social network (come uno di Facebook nel video), non lasciano usare il social ai figli non per i motivi soliti e giusti del tipo di “è pieno di pedofili” (cosa a cui risponderei di sistemare la moderazione, merde!), o che dovrebbero tenere d’occhio cosa ci fanno sopra ma non hanno tempo… glieli vietano per la struttura in sé: perché queste piattaforme sono fatte apposta, come sappiamo, per causare assuefazione. 😶
Io, come sempre, non ho parole. Questi minchioni sanno perfettamente i danni che il loro “lavoro” causa alla società, e invece di cambiare rotta se ne fottono — ma, non quando si tratta delle persone a loro care. Un comportamento immorale e sociopatico a dire poco… e io, veramente, non so come devo fare ancora a vivere in un mondo così terribile, visto che la gente non si sveglia e quindi fare una rivoluzione a livello mondiale, che è l’unica rivoluzione che funzionerebbe, è praticamente impossibile. 😭😭😭
Profitez des vidéos et de la musique que vous aimez, mettez en ligne des contenus originaux, et partagez-les avec vos amis, vos proches et le monde entier.
The move came after German Environment Minister Carsten Schneider backed down from his demand that EU environment ministers should decide on the target this month.
EU leaders are expected to discuss the new climate law at a summit in October.
This list is an absolute gem in finding what the trending state-of-the-art open source programs are. I have found so many cool open source projects I feel addicted to browsing more..
Justice Department Sues Uber for Denying Rides to Passengers with Service Dogs, Wheelchairs
The Department’s civil complaint alleges that Uber and its drivers routinely refuse to serve individuals with disabilities; impose impermissible surcharges by charging cleaning fees for service animal shedding and cancellation fees to riders whom Uber has unlawfully denied service; and refuse to reasonably modify Uber’s policies, practices, or procedures, where necessary, to avoid discriminating against riders with disabilities, including by denying individuals with mobility disabilities the option to sit in the front seat when needed. Due to Uber’s ride denials, individuals with disabilities have experienced significant delays, missed appointments, and have been left stranded in inclement weather.
The Justice Department filed a lawsuit against Uber Technologies Inc. for discriminating against passengers with disabilities, including those who use service animals and mobility devices such as stowable wheelchairs.
Justice Department Sues Uber for Denying Rides to Passengers with Service Dogs, Wheelchairs
The Department’s civil complaint alleges that Uber and its drivers routinely refuse to serve individuals with disabilities; impose impermissible surcharges by charging cleaning fees for service animal shedding and cancellation fees to riders whom Uber has unlawfully denied service; and refuse to reasonably modify Uber’s policies, practices, or procedures, where necessary, to avoid discriminating against riders with disabilities, including by denying individuals with mobility disabilities the option to sit in the front seat when needed. Due to Uber’s ride denials, individuals with disabilities have experienced significant delays, missed appointments, and have been left stranded in inclement weather.
The Justice Department filed a lawsuit against Uber Technologies Inc. for discriminating against passengers with disabilities, including those who use service animals and mobility devices such as stowable wheelchairs.
we don't know it's him stop doing the cops work for them spinning the narrative remember luigi mangione they were obviously framed cause they just needed to shut things up and yet everyone went along with it just cause he's hot and it's funny you think they wouldn't do it again don't treat this person as definitely the killer the cops say they are that doesn't mean they are
Profitez des vidéos et de la musique que vous aimez, mettez en ligne des contenus originaux, et partagez-les avec vos amis, vos proches et le monde entier.
Just got word that the court dismissed several of WP Engine and Silver Lake’s most serious claims — antitrust, monopolization, and extortion have been knocked out! These were by far the most signif…
The Department’s civil complaint alleges that Uber and its drivers routinely refuse to serve individuals with disabilities; impose impermissible surcharges by charging cleaning fees for service animal shedding and cancellation fees to riders whom Uber has unlawfully denied service; and refuse to reasonably modify Uber’s policies, practices, or procedures, where necessary, to avoid discriminating against riders with disabilities, including by denying individuals with mobility disabilities the option to sit in the front seat when needed. Due to Uber’s ride denials, individuals with disabilities have experienced significant delays, missed appointments, and have been left stranded in inclement weather.
The Justice Department filed a lawsuit against Uber Technologies Inc. for discriminating against passengers with disabilities, including those who use service animals and mobility devices such as stowable wheelchairs.
This research examines the social dynamics underpinning algorithmic bias, proposing a framework for addressing these issues through the lens of algorithmic political capitalism.
From robotic hands and arms to soft heart pumps, biomaterials, 3D-printed muscles and more, rapid advancements in robotics and biotechnology are giving rise to new techniques for repairing the human body.
Buongiorno a tutti, sono Erika e apro con piacere un piccolo mondo dedicato al cucito.
Perché potremmo avere bisogno di questo spazio? Perché cucire è un intimo atto politico, di resistenza ma soprattutto di amore.
Per approfondire questo aspetto consig
Buongiorno a tutti, sono Erika e apro con piacere un piccolo mondo dedicato al cucito.
Perché potremmo avere bisogno di questo spazio? Perché cucire è un intimo atto politico, di resistenza ma soprattutto di amore.
Per approfondire questo aspetto consiglio la lettura di ‘I fili della vita’, Clare Hunter, edito da Bollati Boringhieri.
Ma inoltrandoci un po’ più nel vivo della questione, vi propongo una delle mille possibilità con le quali approcciarsi al mondo del cucito e sarei felice di sapere la vostra.
Cucire la necessità.
Parliamo di cucito sartoriale e creativo, senza distinzione. Reinizia la scuola, ci serve un astuccio: cuciamolo. Abbiamo le mestruazioni e ci rendiamo conto che abbiamo voglia di fare la differenza, disegnandoci un cartamodello di assorbenti su misura. Mutande lise? Cuciamocene un bel paio! Grembiule per non sporcarci? Ecco fatto!
Non si arriva a fare tutto dall’oggi al domani, ma con il sostegno dei tanti account che condividono gratuitamente le loro esperienze, qualche libro e qualche modellista che vi vende le sue preziose idee su carta (la conoscete mammaconstoffa, Elisa Masi?) ), ecco che abbiamo le basi per partire!
A proposito, urgono contenuti liberi anche su #peertube. Chi si propone? 😀
Era l’apice di una giornata di pesca come tutte le altre, quando tirando a bordo la rete a strascico di questa nostra imbarcazione, ci rendemmo all’improvviso conto di aver tratto a bordo un araldo di Yog Sothoth, Mietitore degli Abissi.
You gotta love a place with a beer wall. Southern Tier Pumpking Pumpkin Beer - I will drink this beer every chance I get. One of my two favorites, the other being Warlock, also from Southern Tier. Lock 15 Pretty Boy Peanut Butter Porter - I’ve had this be
You gotta love a place with a beer wall. Southern Tier Pumpking Pumpkin Beer – I will drink this beer every chance I get. One of my two favorites, the other being Warlock, also from Southern Tier. Lock 15 Pretty Boy Peanut Butter Porter – I’ve had this before here, but it’s just too good to pass up. The coffee and peanut butter flavors blend so well, plus it’s so smooth to drink.
A court in Tennessee today sentenced a former employee of a DVD and Blu-ray manufacturing and distribution company used by major movie studios to 57 months in prison for stealing DVDs and Blu-rays of blockbuster movies from the company and selling th…
Coders and tech engineers have saved almost an hour a day by using AI assistants to help them write code and build new technology.
More than 1,000 tech experts used the assistant across 50 different government departments – driving productivity through the Plan for Change.
Follows the government pledging to save time on things that AI can do better and more quickly, in bid to find £45 billion efficiency savings from technology and AI across the public sector.
🇬🇧UK Government coders using AI to each save 28 days a year and build more tech
Coders and tech engineers have saved almost an hour a day by using AI assistants to help them write code and build new technology.
More than 1,000 tech experts used the assistant across 50 different government departments – driving productivity through the Plan for Change.
Follows the government pledging to save time on things that AI can do better and more quickly, in bid to find £45 billion efficiency savings from technology and AI across the public sector.
Coders and tech engineers have saved almost an hour a day by using AI assistants to help them write code and build new technology.
More than 1,000 tech experts used the assistant across 50 different government departments – driving productivity through the Plan for Change.
Follows the government pledging to save time on things that AI can do better and more quickly, in bid to find £45 billion efficiency savings from technology and AI across the public sector.
Albanian Prime Minister Edi Rama said Thursday he had appointed the world's first AI-generated government minister to oversee public tenders, promising its artificial intelligence would make it "corruption-free".
Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements. To tackle this challenge, we introduce a high‑dimensional neural representation of blur—the lens blur field—and a practical method for acquisition.
The lens blur field is a multilayer perceptron (MLP) designed to (1) accurately capture variations of the lens 2‑D point spread function over image‑plane location, focus setting, and optionally depth; and (2) represent these variations parametrically as a single, sensor‑specific function. The representation models the combined effects of defocus, diffraction, aberration, and accounts for sensor features such as pixel color filters and pixel‑specific micro‑lenses.
We provide a first‑of‑its‑kind dataset of 5‑D blur fields—for smartphone cameras, camera bodies equipped with a variety of lenses, etc. Finally, we show that acquired 5‑D blur fields are expressive and accurate enough to reveal, for the first time, differences in optical behavior of smartphone devices of the same make and model.
Every lens leaves a blur signature—a hidden fingerprint in every photo; With it, we can tell apart ‘identical’ phones by their optics, deblur images, and render realistic blurs.
Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements. To tackle this challenge, we introduce a high‑dimensional neural representation of blur—the lens blur field—and a practical method for acquisition.
The lens blur field is a multilayer perceptron (MLP) designed to (1) accurately capture variations of the lens 2‑D point spread function over image‑plane location, focus setting, and optionally depth; and (2) represent these variations parametrically as a single, sensor‑specific function. The representation models the combined effects of defocus, diffraction, aberration, and accounts for sensor features such as pixel color filters and pixel‑specific micro‑lenses.
We provide a first‑of‑its‑kind dataset of 5‑D blur fields—for smartphone cameras, camera bodies equipped with a variety of lenses, etc. Finally, we show that acquired 5‑D blur fields are expressive and accurate enough to reveal, for the first time, differences in optical behavior of smartphone devices of the same make and model.
Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements. To tackle this challenge, we introduce a high‑dimensional neural representation of blur—the lens blur field—and a practical method for acquisition.
The lens blur field is a multilayer perceptron (MLP) designed to (1) accurately capture variations of the lens 2‑D point spread function over image‑plane location, focus setting, and optionally depth; and (2) represent these variations parametrically as a single, sensor‑specific function. The representation models the combined effects of defocus, diffraction, aberration, and accounts for sensor features such as pixel color filters and pixel‑specific micro‑lenses.
We provide a first‑of‑its‑kind dataset of 5‑D blur fields—for smartphone cameras, camera bodies equipped with a variety of lenses, etc. Finally, we show that acquired 5‑D blur fields are expressive and accurate enough to reveal, for the first time, differences in optical behavior of smartphone devices of the same make and model.
Every lens leaves a blur signature—a hidden fingerprint in every photo; With it, we can tell apart ‘identical’ phones by their optics, deblur images, and render realistic blurs.
Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements. To tackle this challenge, we introduce a high‑dimensional neural representation of blur—the lens blur field—and a practical method for acquisition.
The lens blur field is a multilayer perceptron (MLP) designed to (1) accurately capture variations of the lens 2‑D point spread function over image‑plane location, focus setting, and optionally depth; and (2) represent these variations parametrically as a single, sensor‑specific function. The representation models the combined effects of defocus, diffraction, aberration, and accounts for sensor features such as pixel color filters and pixel‑specific micro‑lenses.
We provide a first‑of‑its‑kind dataset of 5‑D blur fields—for smartphone cameras, camera bodies equipped with a variety of lenses, etc. Finally, we show that acquired 5‑D blur fields are expressive and accurate enough to reveal, for the first time, differences in optical behavior of smartphone devices of the same make and model.
Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements. To tackle this challenge, we introduce a high‑dimensional neural representation of blur—the lens blur field—and a practical method for acquisition.
The lens blur field is a multilayer perceptron (MLP) designed to (1) accurately capture variations of the lens 2‑D point spread function over image‑plane location, focus setting, and optionally depth; and (2) represent these variations parametrically as a single, sensor‑specific function. The representation models the combined effects of defocus, diffraction, aberration, and accounts for sensor features such as pixel color filters and pixel‑specific micro‑lenses.
We provide a first‑of‑its‑kind dataset of 5‑D blur fields—for smartphone cameras, camera bodies equipped with a variety of lenses, etc. Finally, we show that acquired 5‑D blur fields are expressive and accurate enough to reveal, for the first time, differences in optical behavior of smartphone devices of the same make and model.
Every lens leaves a blur signature—a hidden fingerprint in every photo; With it, we can tell apart ‘identical’ phones by their optics, deblur images, and render realistic blurs.
Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements. To tackle this challenge, we introduce a high‑dimensional neural representation of blur—the lens blur field—and a practical method for acquisition.
The lens blur field is a multilayer perceptron (MLP) designed to (1) accurately capture variations of the lens 2‑D point spread function over image‑plane location, focus setting, and optionally depth; and (2) represent these variations parametrically as a single, sensor‑specific function. The representation models the combined effects of defocus, diffraction, aberration, and accounts for sensor features such as pixel color filters and pixel‑specific micro‑lenses.
We provide a first‑of‑its‑kind dataset of 5‑D blur fields—for smartphone cameras, camera bodies equipped with a variety of lenses, etc. Finally, we show that acquired 5‑D blur fields are expressive and accurate enough to reveal, for the first time, differences in optical behavior of smartphone devices of the same make and model.
Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements. To tackle this challenge, we introduce a high‑dimensional neural representation of blur—the lens blur field—and a practical method for acquisition.
The lens blur field is a multilayer perceptron (MLP) designed to (1) accurately capture variations of the lens 2‑D point spread function over image‑plane location, focus setting, and optionally depth; and (2) represent these variations parametrically as a single, sensor‑specific function. The representation models the combined effects of defocus, diffraction, aberration, and accounts for sensor features such as pixel color filters and pixel‑specific micro‑lenses.
We provide a first‑of‑its‑kind dataset of 5‑D blur fields—for smartphone cameras, camera bodies equipped with a variety of lenses, etc. Finally, we show that acquired 5‑D blur fields are expressive and accurate enough to reveal, for the first time, differences in optical behavior of smartphone devices of the same make and model.
Every lens leaves a blur signature—a hidden fingerprint in every photo; With it, we can tell apart ‘identical’ phones by their optics, deblur images, and render realistic blurs.
Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements. To tackle this challenge, we introduce a high‑dimensional neural representation of blur—the lens blur field—and a practical method for acquisition.
The lens blur field is a multilayer perceptron (MLP) designed to (1) accurately capture variations of the lens 2‑D point spread function over image‑plane location, focus setting, and optionally depth; and (2) represent these variations parametrically as a single, sensor‑specific function. The representation models the combined effects of defocus, diffraction, aberration, and accounts for sensor features such as pixel color filters and pixel‑specific micro‑lenses.
We provide a first‑of‑its‑kind dataset of 5‑D blur fields—for smartphone cameras, camera bodies equipped with a variety of lenses, etc. Finally, we show that acquired 5‑D blur fields are expressive and accurate enough to reveal, for the first time, differences in optical behavior of smartphone devices of the same make and model.
Since 2021, Apple has been sending notification campaigns to individuals targeted by spyware attacks.
These software programs, such as Pegasus, Predator, Graphite or Triangulation, are particularly sophisticated and difficult to detect.
These complex attacks target individuals because of their status or function: journalists, lawyers, activists, politicians, senior officials, members of management committees in strategic sectors, etc.
Receiving a notification means that at least one of the devices linked to the iCloud account has been targeted and is potentially compromised.
The notification results in the receipt of an iMessage and an alert email sent by Apple (from threat-notifications[at]email.apple.com or threat-notifications[at]apple.com). When logging into the iCloud account, an alert is displayed. The time between the compromise attempt and the receipt of the notification is several months, but remains variable.
The notifications sent report highly sophisticated attacks, most of which employ zero-day vulnerabilities or require no user interaction at all.
The following best practices help to better protect the phone against this type of attack: - Update your devices to the latest version as soon as possible. Apple updates often fix vulnerabilities exploited by spyware; - Enable automatic updates, including security updates; - Separate personal and professional uses as much as possible, ideally by using different devices; - Enable "Isolation Mode" to enhance the security of your Apple devices; - Restart your device regularly, ideally once a day.
More generally, the following measures contribute to your good IT hygiene: - Do not click on suspicious links or attachments; Set up a strong and unique access code; - Use two-factor authentication whenever possible; - Avoid installing unknown apps or apps from alternative app stores.
Since 2021, Apple has been sending notification campaigns to individuals targeted by spyware attacks.
These software programs, such as Pegasus, Predator, Graphite or Triangulation, are particularly sophisticated and difficult to detect.
These complex attacks target individuals because of their status or function: journalists, lawyers, activists, politicians, senior officials, members of management committees in strategic sectors, etc.
Receiving a notification means that at least one of the devices linked to the iCloud account has been targeted and is potentially compromised.
The notification results in the receipt of an iMessage and an alert email sent by Apple (from threat-notifications[at]email.apple.com or threat-notifications[at]apple.com). When logging into the iCloud account, an alert is displayed. The time between the compromise attempt and the receipt of the notification is several months, but remains variable.
The notifications sent report highly sophisticated attacks, most of which employ zero-day vulnerabilities or require no user interaction at all.
The following best practices help to better protect the phone against this type of attack: - Update your devices to the latest version as soon as possible. Apple updates often fix vulnerabilities exploited by spyware; - Enable automatic updates, including security updates; - Separate personal and professional uses as much as possible, ideally by using different devices; - Enable "Isolation Mode" to enhance the security of your Apple devices; - Restart your device regularly, ideally once a day.
More generally, the following measures contribute to your good IT hygiene: - Do not click on suspicious links or attachments; Set up a strong and unique access code; - Use two-factor authentication whenever possible; - Avoid installing unknown apps or apps from alternative app stores.
Jupiter Rowland
in reply to Sunshine (she/her) • • •And the majority of Mastodon users will think that Gargron has introduced quote-posts to the Fediverse.
What next to nobody on Mastodon knows is that the Fediverse has had quote-posts for a bit over 15 years, namely since the launch of Mistpark (today known as Friendica) in 2010. That's not only longer than the term "Fediverse" is old, it's also longer than Mastodon has been around.
For as long as Mastodon has existed, it has been possible to quote-post just about anyone and anything on Mastodon.
Oh, and for as long as Mastodon will exist, the non-Fediverse will be able to quote-post any and all public Mastodon toots with zero resistance, opt-in or opt-out or not.