Alongside the launch of the Galaxy S25 series today, Samsung also made a slew of software updates that might not have gotten much attention during the keynote. Specifically, two updates are coming to Samsung Wallet that not only sound very similar to existing features on iPhones, but might also be better. The new features are called "Instant Installment," which is the company's take on "buy now pay later," as well as peer-to-peer payments, which it's named "Tap to Transfer." The latter is basically Apple's Tap to Cash, which allows iPhone owners to hold their phones together to send money to each other. Crucially, though, Samsung's method would support work with third-party digital wallets.At a recent briefing with members of the media, Samsung's reps said that Tap to Transfer "is not going to be limited to just Samsung Wallet." Instead of being tied to specific digital wallets, it will be linked to the associated debit card or account, and works via Mastercard and Visa.As for Instant Installment, it's not that Samsung is pivoting to becoming a credit provider and taking on loans. Instead, it facilitates your purchases and turns your payments into what the company's rep said is "the first offline payment plan experience." It's available at brick-and-mortar stores or online, with Visa or Mastercard credit cards. Samsung Wallet just helps you manage the payment plan on your device.Both of these features aren't launching with the Galaxy S25, but Samsung said at the briefing that they would be available "shortly thereafter." A spokesperson I talked to at the event indicated it would be closer to the second quarter of the year, and that the features would be backward compatible and work on older Galaxy phones, too. Details are scarce, though, and with seemingly months to go before launch, things could change. But if Samsung actually makes it possible to tap to transfer cash between friends with different devices and digital wallets, it could truly be a better, more seamless approach than Apple's version right now.This article originally appeared on Engadget at https://www.engadget.com/mobile/smartphones/samsung-borrows-from-the-apple-wallet-playbook-with-layaway-and-tap-to-send-for-wallet-181052578.html?src=rss

Samsung has officially launched the Galaxy S25, Galaxy S25+ and Galaxy S25 Ultra, and for the most part, the changes aren't massive. The jumbo-sized S25 Ultra has the most noticeable updates, including a more rounded titanium frame, slimmer bezels, new anti-reflective glass and an improved ultrawide camera. All three phones run on a faster Snapdragon 8 Elite for Galaxy chip and promise better low-light video capture. The S25 and S25+ are slightly thinner than last year's models, too, while the base S25 now includes 12GB of RAM as standard. For the most part, though, much of Samsung's focus is on improving the phones' AI functionality. To that end, the company is touting features like an improved Circle to Search tool and better natural voice recognition, among other tricks.We spent some time with the new phones ahead of today's Unpacked event, so you can read our hands-on previews of the Galaxy S25, S25+ and S25 Ultra for more details on what to expect. The phones are up for pre-order now, with official sales starting on February 7. We'll have full reviews around then. However, for Galaxy owners who are already set on upgrading, we've laid out how the three devices compare on the spec sheet below. If you're wondering what the extra cost of the S25+ or S25 Ultra gets you, here's a quick breakdown.Samsung Galaxy S25Samsung Galaxy S25+Samsung Galaxy S25 UltraPrice (MSRP)$800 (128GB), $860 (256GB)$1,000 (256GB), $1,120 (512GB)$1,300 (256GB), $1,420 (512GB), $1,660 (1TB)Dimensions5.78 x 2.78 x 0.28 inches6.24 x 2.98 x 0.29 inches6.38 x 3.06 x 0.32 inchesWeight5.7 ounces6.7 ounces7.7 ouncesScreen size6.2 inches6.7 inches6.9 inchesScreen resolutionFHD+ (2,340 x 1,080)QHD+ (3,120 x 1,440)QHD+ (3,120 x 1,440)Screen typeDynamic AMOLED 2XUp to 120Hz (1-120Hz)Up to 2,600 nits (peak brightness)Corning Gorilla Glass Victus 2Dynamic AMOLED 2XUp to 120Hz (1-120Hz)Up to 2,600 nits (peak brightness)Corning Gorilla Glass Victus 2Dynamic AMOLED 2XUp to 120Hz (1-120Hz)Up to 2,600 nits (peak brightness)Corning Gorilla Armor 2SoCQualcomm Snapdragon 8 Elite for Galaxy (3nm, 8-core)Qualcomm Snapdragon 8 Elite for Galaxy (3nm, 8-core)Qualcomm Snapdragon 8 Elite for Galaxy (3nm, 8-core)RAM12GB12GB12GBBattery4,000mAh4,900mAh5,000mAhChargingUp to 25W wiredUp to 15W wireless ("Qi2 ready")4.5W reverse wirelessUp to 45W wiredUp to 15W wireless ("Qi2 ready")4.5W reverse wirelessUp to 45W wiredUp to 15W wireless ("Qi2 ready")4.5W reverse wirelessStorage128GB, 256GB256GB, 512GB256GB, 512GB, 1TBRear cameraMain: 50 MP, f/1.8, 85 FOV, OISUltrawide: 12 MP, f/2.2, 120 FOVTelephoto: 10 MP, f/2.4, 36 FOV, OIS, 3x optical zoomMain: 50 MP, f/1.8, 85 FOV, OISUltrawide: 12 MP, f/2.2, 120 FOVTelephoto: 10 MP, f/2.4, 36 FOV, OIS, 3x optical zoomMain: 200 MP, f/1.7, 85 FOV, OISUltrawide: 50 MP, f/1.9, 120 FOVTelephoto: 10 MP, f/2.4, 36 FOV, OIS, 3x optical zoomPeriscope telephoto: 50 MP, f/3.4, 22 FOV, OIS, 5x optical zoomFront camera12 MP, f/2.2, 80 FOV12 MP, f/2.2, 80 FOV12 MP, f/2.2, 80 FOVVideo captureRear: 4K at 60 fps, 8K at 30 fpsFront: 4K at 60 fpsRear: 4K at 60 fps, 8K at 30 fpsFront: 4K at 60 fpsRear: 4K at 120 fps, 8K at 30 fpsFront: 4K at 60 fpsWater and dust resistance ratingIP68IP68IP68Wi-FiWi-Fi 7Wi-Fi 7Wi-Fi 7BluetoothBluetooth 5.4Bluetooth 5.4Bluetooth 5.4OSAndroid 15, One UI 7Android 15, One UI 7Android 15, One UI 7Colors and finishGlass front and back (Gorilla Glass Victus 2), aluminum frameNavy, Icyblue, Mint, Silver Shadow, Blueblack*, Coralred*, Pinkgold* (*Samsung.com exclusive)Glass front and back (Gorilla Glass Victus 2), aluminum frameNavy, Icyblue, Mint, Silver Shadow, Blueblack*, Coralred*, Pinkgold* (*Samsung.com exclusive)Glass front (Gorilla Armor 2), glass back (Gorilla Glass Victus 2), titanium frameSilverblue, Whitesilver, Gray, Black, Pinkgold*, Jetblack*, Jadegreen* (*Samsung.com exclusive)This article originally appeared on Engadget at https://www.engadget.com/mobile/smartphones/heres-how-samsungs-new-galaxy-s25-phones-compare-to-each-other-180032319.html?src=rss

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President Donald Trump pardoned Ross Ulbricht, the creator of the drug marketplace Silk Road who is revered by many cryptocurrency enthusiasts and Libertarians.I just called the mother of Ross William Ulbright to let her know, Trump wrote in a post on Truth Social,misspelling Ulbrichts name.Ulbricht was sentenced to life in prison without the possibility of parole nearly a decade ago. He had created and operated Silk Road on the dark web, turning it into an international drug marketplace that facilitated more than 1.5 million transactions. A judge at his 2015 sentencing said Ulbricht was the kingpin of a worldwide digital drug-trafficking enterprise.But crypto enthusiasts have long been championing Ulbrichts release. Silk Road was one of the first platforms where people could use Bitcoin to buy and sell goods. And many thought he was given an overly harsh sentence. Trump, who courted cryptocurrency enthusiasts during his presidential campaign, said last year that he would work to free Ulbricht.A website dedicated to Ulbrichts release was updated Wednesday to include a statement attributed to his family: Our immense gratitude to President Trump for giving Ross a second chance and to all those who have supported us throughout the years. From the bottom of our hearts, THANK YOU!

The NFL directed the New England Patriots to delete the teams Bluesky account, Fred Kirsch, the teams VP of content, said on a January 16 episode of the Patriots Unfiltered podcast.While the team briefly had a Bluesky account, Kirsch said it was taken down because its not an approved social media platform for the NFL yet.Bluesky was founded as a research initiative by Jack Dorsey in 2019 but really emerged as an alternative to Elon Musks X and shot up in popularity after Novembers presidential election. It crossed 25 million users last month, as more and more people seemed to become dismayed with Musks shift to the political right.Still, several sports leagues rely on X for accessing large fan bases, including the NFL, which has an ongoing content partnership with the platform that dates back to 2013. An NFL spokesperson didnt immediately respond to a request for comment.

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MacworldGoing out to a bar or restaurant probably isnt your idea of fun in the winterespecially if it feels like its -10 degrees out.Instead of braving the cold just for some entertainment, add thisgaming and streaming console to the mix.Think of it as your favorite arcade and movie theater had a baby. Thats what this gadget is! Spend your weekend gaming with its thousands of games and wireless controllers. Its now over 30% off, and you can even use it to stream your favorite flicks in 4K.Imagine never having to step outside your cozy living room to find some fun. Youll have access to this projectors36,000+ games that are already built-in. Use the included two wireless controllers and invite a few friends overto duke it out.Feeling more like a movie night? Add your favorite streaming apps right on your projector with Android OS. You can project movies or shows in 1080p and in screen sizes up to 100 inches, giving you the movie theater experience at home.Add thisgaming and streaming projector to your home for cozy, hassle-free entertainment, now just $99.99 while supplies last.2-in-1 Ultimate 1080p HD Gaming Projector with Android 11, 2 Controllers & 36,000+ GamesOnly $99.99 at MacworldStackSocial prices subject to change.

Pre-trained vision models have been foundational to modern-day computer vision advances across various domains, such as image classification, object detection, and image segmentation. There is a rather massive amount of data inflow, creating dynamic data environments that require a continual learning process for our models. New regulations for data privacy require specific information to be deleted. However, these pre-trained models face the issue of catastrophic forgetting when exposed to new data or tasks over time. When prompted to delete certain information, the model can forget valuable data or parameters. In order to tackle these problems, researchers from the Institute of Electrical and Electronics Engineers (IEEE) have developed Practical Continual Forgetting (PCF), which allows the models to forget task-specific features while retaining their performance.Current methods for mitigating catastrophic forgetting involve regularisation techniques, replay buffers, and architectural expansion. These techniques work well but do not allow selective forgetting; instead, they increase the architectures complexity, which causes inefficiencies when adopting new parameters. An optimum balance between trade-off plasticity and stability must exist so as not to excessively retain irrelevant information and be unable to adapt to new environments. However, this proves to be a significant struggle, prompting the need for a new method that enables flexible forgetting mechanisms and provides efficient adaptation.The proposed approach, Practical Continual Forgetting (PCF), has taken a reasonable strategy to deal with catastrophic forgetting and encourage selective forgetting. This framework has been developed to reinforce the strengths of pre-trained vision models. The methodology of PCF involves:Adaptive Forgetting Modules: These modules keep analysing the features the model has previously learned and discard them when they become redundant. Task-specific features that are no longer relevant are removed, but their broader understanding is retained to ensure no generalisation issue arises.Task-Specific Regularization: PCF introduces constraints while training to ensure that the previously learned parameters are not drastically affected. Adapting to new tasks it ensures maximum performance while retaining previously learned information.To test the performance of the PCF framework, experiments were conducted across various tasks, such as recognising faces, detecting objects, and classifying images under different scenarios, including missing data, and continual forgetting. The framework performed strongly in all these cases and outperformed the baseline models. Fewer parameters were used, making them more efficient. The methods showed robustness and practicality, handling rare or missing data better than other techniques.The paper introduces the Practical Continual Forgetting (PCF) framework, which effectively addresses the problem of continual forgetting in pre-trained vision models by offering a scalable and adaptive solution for selective forgetting. It has the advantages of being analytically precise and adaptable, showing strong potential in applications sensitive to privacy and quite dynamic, as confirmed by strong performance metrics on various architectures. Nevertheless, it would be good to validate the approach further with real-world datasets and in even more complex scenarios to evaluate its robustness fully. Overall, the PCF framework sets a new benchmark for knowledge retention, adaptation, and forgetting in vision models, which has important implications for privacy compliance and task-specific adaptability.Check out the Paper and GitHub Page. All credit for this research goes to the researchers of this project. Also,dont forget to follow us onTwitter and join ourTelegram Channel andLinkedIn Group. Dont Forget to join our65k+ ML SubReddit. Afeerah Naseem+ postsAfeerah Naseem is a consulting intern at Marktechpost. She is pursuing her B.tech from the Indian Institute of Technology(IIT), Kharagpur. She is passionate about Data Science and fascinated by the role of artificial intelligence in solving real-world problems. She loves discovering new technologies and exploring how they can make everyday tasks easier and more efficient. Meet 'Height':The only autonomous project management tool (Sponsored)

Jan 23, 2025Ravie LakshmananNetwork Security / VulnerabilityCisco has released software updates to address a critical security flaw impacting Meeting Management that could permit a remote, authenticated attacker to gain administrator privileges on susceptible instances.The vulnerability, tracked as CVE-2025-20156, carries a CVSS score of 9.9 out 10.0. It has been described as a privilege escalation flaw in the REST API of Cisco Meeting Management."This vulnerability exists because proper authorization is not enforced upon REST API users," the company said in a Wednesday advisory. "An attacker could exploit this vulnerability by sending API requests to a specific endpoint.""A successful exploit could allow the attacker to gain administrator-level control over edge nodes that are managed by Cisco Meeting Management."The networking equipment major credited Ben Leonard-Lagarde of Modux for reporting the security shortcoming. It affects the following versions of the product irrespective of device configuration -Cisco Meeting Management release version 3.9 (Patched in 3.9.1)Cisco Meeting Management release versions 3.8 and earlier (Migrate to a fixed release_Cisco Meeting Management release version 3.10 (Not vulnerable)Cisco has also released patches to remediate a denial-of-service (DoS) flaw affecting BroadWorks that stems from improper memory handling for certain Session Initiation Protocol (SIP) requests (CVE-2025-20165, CVSS score: 7.5). The issue has been fixed in version RI.2024.11."An attacker could exploit this vulnerability by sending a high number of SIP requests to an affected system," it said. "A successful exploit could allow the attacker to exhaust the memory that was allocated to the Cisco BroadWorks Network Servers that handle SIP traffic. If no memory is available, the Network Servers can no longer process incoming requests, resulting in a DoS condition that requires manual intervention to recover."A third vulnerability patched by Cisco is CVE-2025-20128 (CVSS score: 5.3), an integer underflow bug impacting the Object Linking and Embedding 2 (OLE2) decryption routine of ClamAV that could also result in a DoS condition.The company, which acknowledged Google OSS-Fuzz for reporting the flaw, said it's aware of the existence of a proof-of-concept (PoC) exploit code, although there is no evidence it has been maliciously exploited in the wild.CISA and FBI Detail Ivanti Exploit ChainsNews of Cisco flaws comes as the U.S. government's cybersecurity and law enforcement agencies released technical details of two exploit chains weaponized by nation-state hacking crews to break into Ivanti's cloud service applications in September 2024.The vulnerabilities in question are as follows -CVE-2024-8963, an administrative bypass vulnerabilityCVE-2024-9379, a SQL injection vulnerabilityCVE-2024-8190 and CVE-2024-9380, two remote code execution vulnerabilitiesThe attack sequences, per the Cybersecurity and Infrastructure Security Agency (CISA) and Federal Bureau of Investigation (FBI), involved the abuse of CVE-2024-8963 in conjunction with CVE-2024-8190 and CVE-2024-9380 in one case, and CVE-2024-8963 and CVE-2024-9379 in the other.It's worth noting that the first exploit chain was disclosed by Fortinet FortiGuard Labs in October 2024. In at least one instance, the threat actors are believed to have conducted lateral movement after gaining an initial foothold.The second exploit chain has been found to leverage CVE-2024-8963 in combination with CVE-2024-9379 to obtain access to the target network, followed by unsuccessful attempts to implant web shells for persistence."Threat actors chained the listed vulnerabilities to gain initial access, conduct remote code execution (RCE), obtain credentials, and implant web shells on victim networks," the agencies said. "Credentials and sensitive data stored within the affected Ivanti appliances should be considered compromised.Found this article interesting? Follow us on Twitter and LinkedIn to read more exclusive content we post.SHARE