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Boost Mobile suma los teléfonos Galaxy A15 5G y A16 5G a su portafolio

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Si vives en los EE. UU. y buscas un precio razonable Samsung Teléfono inteligente de Promoción móvilHay buenas noticias para ti.

Boost Mobile, la cuarta red de telecomunicaciones más grande de Estados Unidos Anunciar Agregará dos nuevos teléfonos Galaxy a su portafolio Galaxia A15 5G y Galaxia A16 5G.

Precio y disponibilidad del Galaxy A15 5G y Galaxy A16 5G en Boost Mobile

Si eres un cliente nuevo o ya estás conectado a la red Boost Mobile, podrás obtener el Galaxy A15 5G por $169.99 y el Galaxy A16 5G por $199.99. Sin embargo, si está transfiriendo su número de cualquier otro proveedor a Boost Mobile, la compañía dice que puede “Obtén el nuevo Galaxy A15 en EE. UU. con los planes Unlimited+ y Unlimited Premium de Boost.

La historia continúa después del vídeo.

Si bien el Galaxy A15 5G está disponible en Boost Mobile, el Galaxy A16 5G estará disponible en Boost Mobile el 20 de enero de 2025. Puede obtener los dispositivos en la tienda en línea oficial de la compañía o en tiendas fuera de línea. Además, Boost Mobile dice que estos teléfonos se pueden emparejar “Con cualquier plan de datos ilimitados de Boost Mobile desde $25 por mes.

Especificaciones del Galaxy A15 5G y Galaxy A16 5G

Puedes ver las especificaciones del Galaxy A15 5G y Galaxy A16 5G en la imagen a continuación.

Al comentar sobre la incorporación de dos teléfonos Galaxy al portafolio de Boost Mobile, Sean Lee, vicepresidente senior de productos de consumo y marketing de la compañía, dijo:El Samsung Galaxy A15 5G y el Galaxy A16 5G ponen la increíble experiencia Samsung 5G en manos de los clientes a un mejor precio. En Boost Mobile, estamos comprometidos a brindar experiencias excepcionales a través de dispositivos de alta calidad que mantengan a nuestros clientes conectados, entretenidos y productivos a un precio asequible.

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Los Amazon Fire TV cargarán libremente la plataforma de streaming en Boost para BBC e ITV

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De forma gratuita, el nuevo servicio de streaming respaldado por la BBC, ITV y otras emisoras públicas británicas estará disponible en Televisores Amazon Fire Las dos empresas dijeron el lunes, tras un “acuerdo histórico” con el gigante tecnológico estadounidense.

El acuerdo es una victoria para la BBC, ITV, Channel 4 y Channel 5, cuya empresa conjunta, llamada 'Everyone TV', se lanzó de forma gratuita a principios de este año y permite a los espectadores transmitir televisión en vivo y contenido bajo demanda de forma gratuita con la compra. de televisores inteligentes. Servicio de rodamientos.

Esta asociación ayudará a llevar el contenido de las cuatro emisoras públicas, que están obligadas por la ley del Reino Unido a proporcionar programación de interés público, a más hogares británicos, a través de televisores inteligentes que utilizan… Amazonas El famoso sistema operativo Fire.

“Un acuerdo de este tipo, entre un gigante tecnológico y quienes trabajan en interés público, es fantástico”, dijo Jonathan Thompson, director ejecutivo de Everyone TV.

“Representa un avance importante para ampliar la disponibilidad de Freely y garantizar así que las audiencias del Reino Unido puedan acceder a la televisión gratuita en el futuro”.

El lanzamiento de Freely en abril fue la primera vez que las cuatro emisoras públicas británicas se unieron para crear un servicio de streaming, mientras buscan una televisión en vivo preparada para el futuro en la era del streaming.

Ofrece gratuitamente 70.000 horas de contenido bajo demanda, más que cualquier otra plataforma de streaming importante en Gran Bretaña, incluida… netflix, disney, Amazon Primey AppleTVSegún datos de Ampere Analysis, con sede en Londres.

Every TV también firmó un acuerdo con el fabricante de televisores TCL, que incluirá Freely en sus nuevos televisores inteligentes 2024, dijo.

© Thomson Reuters 2024

(Esta historia no ha sido editada por el personal de NDTV y se genera automáticamente a partir de un feed sindicado).

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Major AlphaFold upgrade offers boost for drug discovery

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A close up view of detail from a computer render of a AziU3/U2 protein diagram.

An AlphaFold3 model of a bacterial enzyme bound to a chemical.Credit: Isomorphic Labs

Since the powerhouse artificial intelligence (AI) tool AlphaFold2 was released in 2021, scientists have used the protein-structure-prediction model to map one of our cells’ biggest machines, discover drugs and chart the universe of every known protein.

Despite such successes, John Jumper — who leads AlphaFold’s development at Google DeepMind in London — is regularly asked whether the tool can do more. Requests include the ability to predict the shape of proteins that contain function-altering modifications, or their structure alongside those of DNA, RNA and other cellular players that are crucial to a protein’s duties. “I would say ‘no, you can’t put that into AlphaFold’,” Jumper says. “I would rather solve their problems.”

The latest version of AlphaFold, described on 8 May in Nature1, aims to do just that — by giving scientists the ability to predict the structures of proteins during interactions with other molecules. But whereas DeepMind made the 2021 version of the tool freely available to researchers without restriction, AlphaFold3 is limited to non-commercial use through a DeepMind website.

Frank Uhlmann, a biochemist at the Francis Crick Institute in London who gained early access to AlphaFold3, has been impressed with its capabilities. “This is just revolutionary,” he says. “It’s going to democratize structural-biology research.”

Another revolution

“Revolutionary” is how many scientists have described the impact of AlphaFold2 on biology since it was unleashed2 (the first version3, released in 2020, was good, but not game-changing, Jumper has said). The AI predicts a protein’s structures from its amino-acid sequence, often with startling accuracy that is on par with that of experimental methods.

A freely available AlphaFold database holds the predicted structure of nearly every known protein. The availability of the AlphaFold2 code has also allowed other researchers to easily build on it: an early hack enabled the prediction of interactions between multiple proteins, a capability included in an update to AlphaFold2.

Jumper’s ennui over explaining AlphaFold’s inability to predict other aspects of a protein’s ecosystem stems from their importance: protein modifications, such as the addition of a phosphate molecule, can allow cells to respond to external cues, an infection, for instance, and set off a chain of events in response. Interactions with DNA, RNA and other chemicals are essential to many proteins’ duties.

Real-world examples of these interactions are readily available in the Protein Data Bank (PDB), a repository of experimentally determined structures that is the foundation of AlphaFold’s capabilities. An ideal tool would be able to predict structures of a protein alongside its accessories, says Jumper. “We want to solve the whole PDB.”

Major upgrade

To create AlphaFold3, Jumper, DeepMind chief executive Demis Hassabis and their colleagues made large changes to its predecessor: the latest version depends less on information about proteins related to a target sequence, for instance. AlphaFold3 also uses a type of machine-learning network — called a diffusion model — that is used by image-generating AIs such as Midjourney. “It’s a pretty substantial change,” says Jumper.

AlphaFold3, the researchers found, substantially outperforms existing software tools at predicting the structure of proteins and their partners. For instance, scientists — especially those interested in finding new drugs — have conventionally used ‘docking’ software to physically model how well chemicals bind to proteins (usually with help from the proteins’ experimentally determined structures). AlphaFold3 proved superior to two docking programs, as well as to another AI-based tool called RoseTTAFold All-Atom4.

Uhlmann’s team has used AlphaFold3 to predict the structure of DNA-interacting proteins involved in copying the genome, a step that is essential to cell division. Experiments in which proteins are mutated to alter such interactions suggest that the predictions were usually spot on, Uhlmann says. “It’s an amazing discovery tool,” he adds.

“The structure-prediction performance of AlphaFold3 is very impressive,” says David Baker, a computational biophysicist at the University of Washington in Seattle. It’s better than RoseTTAFold All-Atom, which his team developed4, he adds.

Restricted access

Unlike RoseTTAFold and AlphaFold2, scientists will not be able to run their own version of AlphaFold3, nor will the code underlying AlphaFold3 or other information obtained after training the model be made public. Instead, researchers will have access to an ‘AlphaFold3 server’, on which they can input their protein sequence of choice, alongside a selection of accessory molecules.

Uhlmann likes what he has so far seen of the server, which he says is simpler and quicker than the version of AlphaFold2 that he has access to at his institute. “You upload it and 10 minutes later, you’ve got the structures,” he says. For most scientists, “the server is really going to smash it. Everybody can do it.”

Access to the AlphaFold3 server, however, is limited. Scientists are currently restricted to 10 predictions a day, and it is not possible to obtain structures of proteins bound to possible drugs.

Isomorphic Labs, a DeepMind spin-off company in London, is using AlphaFold3 to develop drugs, both through its own pipeline and with other pharmaceutical companies. “We have to strike a balance between making sure that this is accessible and has the impact in the scientific community as well as not compromising Isomorphic’s ability to pursue commercial drug discovery,” says Pushmeet Kohli, DeepMind’s head of AI science and a study co-author.

Because of the restriction on modelling protein interactions with possible drugs, “I can’t see it having the impact AlphaFold2 had”, says Brian Shoichet, a pharmaceutical chemist at the University of California, San Francisco, who has been using AlphaFold structures to hunt for therapeutic candidates.

Sergey Ovchinnikov, an evolutionary biologist at the Massachusetts Institute of Technology in Cambridge, had hoped to develop a web version of AlphaFold3, as he and his colleagues have done for AlphaFold2 shortly after its code was released. But based on the ample information provided in the latest Nature paper, it shouldn’t take long for other teams to create their own versions, he says. “I would expect open-source solutions before the end of the year.”

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The UK’s quest to boost digital surveillance in 2024 isn’t over

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The King officially gave his final approval: the controversial reform to the UK’s Investigative Powers Act (IPA) is all set to become law. The government seeks to widen its digital surveillance capabilities “to protect the British people” in spite of technological change. Technologists and digital rights experts foresee a rather different outcome, however, reminiscent of a privacy nightmare. 

The so-called “Snooper’s Charter” is already highly controversial, experts say, and these amendments are seen as “significant privacy-weakening changes.” Worse still, this reform isn’t the only legislative effort to broaden the UK’s surveillance laws. With two more proposals on the table and the danger of the Online Safety Bill’s new powers looming in the background, it looks like we are only at the tip of the UK Surveillance State iceberg—which not even security software like VPN services can shield us from. 



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Superconductivity hunt gets boost from China’s $220 million physics ‘playground’

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On the outskirts of Beijing sits a set of unassuming buildings marked ‘X’, for ‘extreme’. Inside the Synergetic Extreme Condition User Facility (SECUF), researchers from all over the world are pushing matter to its limits with extreme magnetic fields, pressures and temperatures, and examining it in new ways with extremely precise resolution in time.

One particularly tantalizing goal of many researchers using this $US220-million toolbox is to discover new superconductors, materials that conduct electricity without resistance. “This kind of combination of extreme conditions offers a very good chance for new discoveries,” says SECUF’s founding director Li Lu, a condensed-matter physicist at the Chinese Academy of Science’s Institute of Physics (IOP) in Beijing.

Understanding the mechanisms that underlie superconductivity is an important step in the global race to finding a material that exhibits this phenomenon at room temperature, instead of under frigid conditions. Such a discovery could open the door to faster computers and cut electricity consumption, among other benefits.

Under extreme conditions, matter exhibits properties that would otherwise remain hidden. For instance, when some ordinary-seeming materials are subjected to high pressures and extreme cold, they become superconductors. But measuring superconductivity can be finicky, because it can show up differently depending on the technique used, says Konstantin Kamenev, a physicist at the University of Edinburgh, UK, who specializes in extreme-conditions engineering and instrumentation. The ability to mix and match such conditions at a single facility allows researchers to characterize their samples more fully and efficiently than they could otherwise. “It’s like a one-stop shop,” says Jinguang Cheng, a condensed-matter physicist at the IOP.

Extreme toolbox

Since September last year, all 22 experimental stations at SECUF have moved to full operation after a one-year trial period. Tucked into a corner of one of SECUF’s brightly lit rooms, Cheng oversees a station that combines a cubic anvil cell — a device that squeezes materials under enormous pressure on six sides — with two superconducting magnets and helium-based cooling systems. The sample-torturing instrument can be used to measure a range of electronic properties and characteristics. Although conventional high-pressure tools, such as diamond anvils, can accommodate samples that are only the width of a human hair, SECUF’s cubic anvil cell can compress larger samples, making it easier to measure electronic properties in finer detail, says Cheng.

He says that he and his colleagues have, in this way, discovered a handful of superconductors, including a rare magnetic one1 and another based on manganese2.

Interior view of the Synergetic Extreme Condition User Facility showing the Ultra-low temperature high magnetic field quantum oscillation experimental station.

The quantum oscillation station combines two superconducting magnets with ultra-low temperatures. Credit: Institute of Physics, Chinese Academy of Sciences

Behind a yellow warning barrier at the other end of the room sits a powerful superconducting magnet. Rui Zhou, a condensed-matter physicist at the IOP, and his colleagues have set up a station that combines the magnet with ultra-low temperatures to perform nuclear magnetic resonance (NMR) measurements. The technique tracks the behaviour of atomic nuclei in high magnetic fields. It offers a way of peering into the mechanisms that underlie high-temperature superconductors — those that operate above −195.8 °C.

SECUF’s magnet produces a weaker field — just 26 tesla — than do those at other facilities, such as the record-holding 45 T hybrid magnet, which is partially superconducting, at the US National High Magnetic Field Laboratory (NHMFL) in Tallahassee, Florida, and the 37 T resistive magnet at France’s National Laboratory for Intense Magnetic Fields in Grenoble, which require a lot of power to run. But it can maintain a stable magnetic field for up to one month instead of a few days or hours, because it guzzles much less power, says Zhou. That makes it possible for researchers to conduct longer experiments on the same sample, he explains.

Interior view of the Synergetic Extreme Condition User Facility showing the cubic anvil cell station.

The cubic anvil cell is located on the back wall, with black and yellow hazard tape. It can accommodate much larger samples than other high-pressure devices.Credit: Institute of Physics, Chinese Academy of Sciences

Another magnet system is enabling other types of superconductivity research. Gang Li, a condensed-matter physicist at the IOP, heads a station that combines blisteringly cold temperatures with a 30 T superconducting magnet and a 20 T one to detect quantum oscillations — physical phenomena that are used to map the electronic ‘fingerprint’ of materials. Last July, Alexander Eaton, a condensed-matter physicist at the University of Cambridge, UK, and his colleagues spent two weeks using the station to unpick the electronic properties of an unusual superconductor called uranium ditelluride3. “It was the only place we could do the experiment we wanted to do,” says Eaton.

Mix and match

Other superconductivity researchers are using multiple tools at SECUF. Guanghan Cao, a condensed-matter physicist at Zhejiang University in Hangzhou, China, used the cubic anvil cell and NMR to probe an intriguing chromium-based material he had discovered by accident. Cao and his colleagues spotted hints of superconductivity when they subjected it to high pressures using the cubic anvil cell4. Over at the NMR station, the researchers were also able to catch a glimpse of the compound’s magnetic properties. The ability to measure the material in multiple ways in one location enabled the researchers to conduct a more in-depth study in less time. “That’s really convenient for us,” Cao says.

Superconductivity isn’t the only phenomena researchers are pursuing at SECUF. Some researchers are using ultrafast lasers to study the properties of semiconductors, whereas others are using a range of instruments to hunt down elusive quantum states of matter. The facility is open to domestic and international users alike, and all proposals are considered equally, says Cheng. But the process will be more selective for all researchers this year to give successful applicants more time at each station, he adds.

Although researchers from all over the world are using the facility, Ali Bangura, a condensed-matter physicist at the NHMFL, says that SECUF could give China an edge over other countries in the quest to achieve room-temperature superconductivity. By expanding the scope of measurements on offer in one location, SECUF “substantially increases the likelihood of groundbreaking discoveries”, says Bangura.

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“Doing more with less”: NetSuite founder on AI — and why it might actually go a long way to helping boost traditional industries such as accounting

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As AI becomes more of a common presence in my companies and organizations across the world, questions are inevitably being asked about the effect the technology will have on human jobs.

With its core task of taking large and complex sets of data, analyzing it to find trends or anomalies, and creating detailed reports, accountancy and finance sounds like a prime example of an industry where AI could supplant human workers – but is this the case?

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The Nothing Ear and Ear (a) earbuds are set to get a Transparency Mode boost

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The Nothing Ear and Nothing Ear (a) are the latest wireless earbuds from Nothing, unveiled earlier this month – and the updates are already getting underway, with an upgrade to the Transparency Mode coming soon.

That’s the word from Nothing CEO Carl Pei, who says the improvements will be “noticeable”. He’s also asked for users to keep on providing feedback on the wireless earbuds, so further tweaks can be made in the future.



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Microsoft Edge gets some Grammarly-style AI upgrades to boost your writing chops

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Edge, Microsoft’s default web browser in Windows 11, is getting new text editing capabilities, including Copilot-assisted rewriting, improved clipboard functionality, and support for handwritten text in forms and web pages via a stylus. 

Windows Copilot is the AI assistant that Microsoft has been busy integrating into Windows 11 and various other products, including Microsoft Edge. It was presented as eventually being able to help you with any task on your device, and while it still looks like there’s a way to go before Copilot lives up to that lofty ambition, it is getting there. 

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Canadian science gets biggest boost to PhD and postdoc pay in 20 years

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Justin Trudeau, Canada's prime minister, left, and Chrystia Freeland, Canada's deputy prime minister and finance minister, hold copies of the federal budget in Ottawa, Ontario, Canada.

Canada’s prime minister Justin Trudeau and finance minister Chrystia Freeland hold copies of the 2024 federal budget.Credit: David Kawai/Bloomberg via Getty

Researchers in Canada got most of what they were hoping for in the country’s 2024 federal budget, with a big boost in postgraduate pay and more funding for research and scientific infrastructure.

“We are investing over $5 billion in Canadian brainpower,” said finance minister Chrystia Freeland in her budget speech on 16 April. “More funding for research and scholarships will help Canada attract the next generation of game-changing thinkers.”

Postgraduate students and postdoctoral researchers have been advocating for higher pay for the past two years through a campaign called Support Our Science. They requested an increase in the value, and number, of federal government scholarships, and got more than they asked for. Stipends for master’s students will rise from Can$17,500 (US$12,700) to $27,000 per year, PhDs stipends that ranged from $20,000 to $35,000 will be set to a uniform annual $40,000 and most postdoctoral-fellowship salaries will increase from $45,000 to $70,000 per annum. The number of scholarships and fellowships provided will also rise over time, building to around 1,720 more per year after five years.

“We’re very thrilled with this significant new investment, the largest investment in graduate students and postdocs in over 21 years,” says Kaitlin Kharas, a PhD student at the University of Toronto, Canada, and executive director of Support Our Science. “It will directly support the next generation of researchers.”

Although only a small proportion of students and postdoctoral fellows receive these federal scholarships, other funders tend to use them as a guide for their own stipends.

Many postgraduates said that low pay was forcing them to consider leaving Canada to pursue their scientific career, says Kharas, so this funding should help to retain talent in the country.

“This is going to move us from a searing brain drain to a brain gain, and position us to compete on the world stage,” says Chad Gaffield, chief executive of the U15 Group of Canadian Research Universities, based in Ontario, which supported the campaign.

‘Determined to thrive’

The budget also includes marked boosts for basic research. There is an extra $1.8 billion over five years in core funding for the three federal grant-awarding research councils, as well as $400 million for upgrades to the TRIUMF particle accelerator in Vancouver, and more cash for several other large facilities and institutes across the country. There will also be more than $2 billion for the artificial-intelligence sector in Canada.

“[This budget] really emphasizes that Canada is determined to thrive in the twenty-first century based on science and research,” says Gaffield.

Others have pointed out that the vast majority of the money in the budget for the research councils is backloaded, with just $228 million coming in the next two years. This means that the gains will be slow, and could be vulnerable to changes in the political climate, says Alex Usher, president of Higher Education Strategy Associates, a consultancy in Toronto. “Do not count on this money being there after an election,” he posted on X (formerly Twitter). Canada’s next federal election is due in October 2025, and the opposition Conservative Party is campaigning on reigning in spending.

The budget also makes some changes to how science funding is organized. Instead of ten different programmes for scholarships and fellowships, with differing levels of support, there will now be a single programme with just three levels — master’s degrees, PhDs and postdoctoral fellowships. Kharas says that this should simplify the system.

The government will also create a new “capstone” research-funding organization to better coordinate the work of the three granting councils and “help to advance internationally collaborative, multi-disciplinary and mission-driven research”, the budget says. It will also create an advisory Council on Science and Innovation, comprised of leaders from academia, industry and the non-profit sector, which will develop a national science-and-innovation strategy to guide priority setting and increase the impact of federal investments. “This should help move us towards a more efficient, well-coordinated and nimble way of supporting research in Canada,” says Gaffield. “I look forward to working with the government to optimize it.”



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iPhone 15 just got a big repairability boost and it’s good news for future models, too

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Apple is easing up its self-repair policy, allowing iPhone owners to fix their devices with used parts instead of forcing them to buy new replacements. The tech giant told The Washington Post the update will apply to screens, batteries, and cameras among other things.

Apple states in its announcement post that they have plans to grow the program to include biometric sensors. The changes are scheduled to take effect this autumn, starting, Apple confirmed with TechRadar, with the iPhone 15 and future models. 

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