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This is the most important part of your new 4K TV if you're buying on a budget like me – and it's not the pixels - Related to like, goat, not, buying, (pr)

Nvidia RTX 5070 Ti vs. GTX 1080 Ti: Return of the GOAT GPU

Nvidia RTX 5070 Ti vs. GTX 1080 Ti: Return of the GOAT GPU

A long time ago in a consumer market not so far away, $700 could get you a top-of-the-line graphics card. Today, $750 (or more) only gets you Nvidia’s bronze medal card, the RTX 5070 Ti. But how does it compare to the GTX 1080 Ti, which launched at $700 in 2017 and is widely considered the greatest graphics card of all time? Adam and Will decided to find out in the latest PCWorld video on YouTube.

Eight years is an eternity in the graphics card space, so even though the 1080 Ti was the big daddy of its time, conventional wisdom says that it should pale in comparison to the 5070 Ti four generations later. And yeah, that bears out in the benchmark data. The newer card delivers approximately two-to-three times the FPS when gaming on an identical test bench, with some big drops in 1 percent lows. Shadow of the Tomb Raider showed a more-than-triple improvement on the 5070 Ti.

The 10-series was also the last one to use the GeForce GTX label, supplanted by GeForce RTX (with the “R” meaning “ray tracing”). And yeah, to no one’s surprise, ray tracing with Nvidia’s modern systems is basically impossible on the older card. And AI applications like text generation are enhanced on the newer card by an order of magnitude, as Nvidia is all-in on dedicated AI hardware.

But it’s not all bad. At 1440p resolution, 2x upscaling, and high graphical settings, the 1080 Ti still managed to hit 60 frames per second on games like Assassin’s Creed Valhalla and Call of Duty: Black Ops 6. That’s still a good gaming experience without ray tracing, especially if you bump some of those settings down to keep things smooth. Will says it’s “firmly in the playable camp,” even for intensive games like Cyberpunk 2077.

Honor has presented a commitment to providing seven years of Android OS and security updates to its latest Magic series devices, including the Honor M......

As you may have already seen, AMD officially showcased its upcoming Radeon RX 9070 and 9070 XT earlier this week, including pricing details that were ......

This is the most important part of your new 4K TV if you're buying on a budget like me – and it's not the pixels

This is the most important part of your new 4K TV if you're buying on a budget like me – and it's not the pixels

For the vast majority of people, shopping for one of the best TVs means shopping for a 4K TV. But I suspect that for the vast majority of that vast majority, the TV they buy won't be fed many 4K exhibits or movies. And that's key, because I think you should factor that into your buying decisions.

The reason most of your entertainment won't be 4K is because unless you're paying for the most expensive streaming packages, you're likely getting 1080p Full HD (or lower, in some cases: I'm in the UK where streamers such as Now TV delivers 720p as standard).

And even if you do plump for the Super Awesome Premium Plus packages, not all of the available content is in 4K. For example I watched an Anthony Bourdain show in the recent past on a 4K streaming service; the show was filmed in 2002, apparently using RealVideo, and was so low-res you'd think they'd made it in Minecraft.

We can't travel back in time to make SD exhibits HD, or HD ones 4K. But with the right TV, we don't have to.

My Anthony Bourdain show wasn't unwatchable, and my TV deserves all the credit for that: despite being blown up to 65 inches, the picture wasn't too bad. That's because my TV has a good image processor that upscales relatively low-res content well.

As a general rule, the bigger the TV, the more essential its upscaling is going to be. Issues that aren't apparent on a 42-inch 4K panel will be terribly obvious on a 65-inch or larger. That's because the smaller panel has a much higher pixel density: both displays are packing 3840x2160 pixels, but the smaller display packs them in much more tightly, so image flaws aren't quite so visible.

We've written a detailed guide to 4K upscaling, which you can find here. But the executive summary is that it works like this: the processor analyzes the signal, applies noise reduction, sharpens anything that needs to be sharpened and, for lower resolution signals, it then converts the signal to 4K resolution (or 8K if you have an 8K TV).

It's far from new technology, but it doesn't get talk about as often as it used too – but it's just as essential in the streaming age, especially with some new streaming tiers taking is backwards, as I mentioned above.

Image processing is also significant for streaming at any resolution because streaming video isn't lossless: it's optimized for efficient delivery, and that means sacrificing some of the data (which is one reason many movie fans with serious home cinema setups prefer the best 4K Blu-ray players to streaming).

That data optimization can cause visible issues such as noticeable color banding or ugly gradients in darker backgrounds, where instead of a smooth range of colors or near-darkness, you see patches of color with clear dividing lines between them. If you have network congestion, the bitrate can drop and make those issues even more apparent. But with good picture processing your TV can spot those issues and fix them in real time.

Price is, inevitably, a big part of this: just like budget phones don't come with the latest and greatest mobile processors, TVs built to a low price aren't likely to have state-of-the-art upscaling.

The very best processing usually turns up in TV makers' flagship models first, especially with household names: the likes of Sony, LG, Samsung, Panasonic and Philips all push their extremely clever image processing systems as key selling points for their latest and greatest televisions.

All TV makers use upscaling tech, but these companies have particularly impressed us, based not only on how well they add sharpness, but in how they manage to reduce color bands – especially Sony, LG and Panasonic when it comes to the latter, though Samsung's 2025 TVs also make a great improvement in this area from our demos so far.

I'm a bit biased, of course, but I'd definitely recommend reading our in-depth reviews of any TVs you're considering: upscaling is one of the key functions we look at very carefully, and because we review so many TVs we've got extensive knowledge of what makes upscaling look natural, and what leaves things looking artificial and not making the most of your 4K screen.

But I'd also suggest going to a store, even if you're planning to buy online. That's where you can test different models' upscaling really easily: turn off the retail/demo mode with its over-the-top brightness, contrast and motion smoothing and ask to see something that isn't 4K – and ideally, that isn't even Full HD.

Watching 4K content on a 4K display isn't going to show you how good its image processing system is: it's the lower-res stuff that separates the OK from the awesome.

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(PR) MONTECH Launches New HyperFlow Silent All-In-One Liquid Cooler

(PR) MONTECH Launches New HyperFlow Silent All-In-One Liquid Cooler

MONTECH proudly presents the HyperFlow Silent, a revolutionary upgrade to our acclaimed HyperFlow series. Designed for clients who demand peak performance without compromise, this All-In-One liquid cooler capabilities a minimalist aesthetic by eliminating ARGB lighting, ensuring a clean and professional look. Perfect for competitive gaming and creative workloads, it sets a new standard for silent cooling.HyperFlow Silent redefines quiet computing by minimizing noise to near-invisible levels. Its noise-reducing pump operates at an astonishingly low 28 dBA, quieter than a soft whisper, even at high speeds of 3100 RPM. For gamers or late-night professionals, its innovative fan blades reduce wind noise to just 24 dBA, creating an ideal distraction-free environment.HyperFlow Silent is designed to handle high-performance CPUs with ease. Its advanced 27 mm fin stack and high-density thermal channels efficiently dissipate heat. Combined with the latest upgraded Metal PRO 12 Silent fan, it reduces noise by 23% compared to the previous model. The durable structure and dedicated ring tech ensure consistent temperatures during intense gaming or creative tasks, all while minimizing [website] HyperFlow Silent combines modern aesthetics with functional versatility. Its metal pump interior with circle swirl patterns, available in timeless black and white, complements any build with understated sophistication. Broad compatibility with the latest Intel and AMD CPUs ensures seamless integration with modern systems, making it the perfect choice for gamers, creators, and minimalists alike.HyperFlow Silent comes with well-rounded customer protection with a 6-year world-class warranty. MONTECH proudly provides extended warranty services that cover product defects and offer compensation for potential component damage caused by leakage. Calmly comforts clients with confidence and professional protection.Available on February 24, 2025, at 9 AM Pacific Time:Experience the future of silent cooling with MONTECH's HyperFlow Silent—where performance meets tranquility.

Montech up to 28dBa is louder as my and many other graphic cards.

A cpu cooler should be more quiet as the other parts.

Arctic also has 6 years warranty. When I want to switch brands, that brand should at least offer 8 years international hassle free quick support warranty. , 17:48 Reply.

I stopped using aio's due to noise. Thankfully AMD doesnt need aio's for the most part. If they want whisper quiet you need to be able to lower the pump speed along the fans. Id never go above 2000 rpm myself on the pump. Higher than that and you get that unbearable mosquito noise. , 19:44 Reply.

[website] Pax256 I stopped using aio's due to noise. Thankfully AMD doesnt need aio's for the most part. If they want whisper quiet you need to be able to lower the pump speed along the fans. Id never go above 2000 rpm myself on the pump. Higher than that and you get that unbearable mosquito noise. Depends totally of the pump. I have two machines with Alphacool Eisbaers running at full blast (3300rpm), yet they're barely audible, let alone making any annoying noise.

Some cheap AIO pumps are a totally different story of course. Depends totally of the pump. I have two machines with Alphacool Eisbaers running at full blast (3300rpm), yet they're barely audible, let alone making any annoying [website] cheap AIO pumps are a totally different story of course. , 20:22 Reply.

It might have to do with how ears hear different tones as well. I hear very well some tones. One buddy couldnt hear the pump while I could easily. CM 240 then a Deepcool castle 280. , 20:40 Reply.

I think when you hear coil whine you may also hear pumps.

I think most of the pumps are asetek pumps and not "cheap". , 21:05 Reply.

_roman_ Montech up to 28dBa is louder as my and many other graphic cards.

A cpu cooler should be more quiet as the other parts.

Arctic also has 6 years warranty. When I want to switch brands, that brand should at least offer 8 years international hassle free quick support warranty. You won't switch then. You won't switch then. , 2:24 Reply.

My personal pc focus on low noise. I run for a very long time now without side glass panel and without top plate. I should complete that build before summer. GPU fans are usually off. one noctua fan as back fan not at full speed & the be quiet tower cooler @ not full speed. I have two tower air coolers. One be-quiet in use and one spare noctua nh-d15. I did not expect to reduce the noise to that degree. I learnt a lot about my setup over the time.

I build one tower pc with an arctic Liquid Freezer 360 1st Gen on a ryzen 5800x on a msi x570 tomahawk wifi for my family.

Back to the product of this article. Some graphic cards only have 24 dba in the worst case . , 4:51 Reply.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
4.9%5.9%6.2%6.9%7.3%7.5%7.6%
4.9%5.9%6.2%6.9%7.3%7.5%7.6% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
6.9% 7.2% 7.4% 7.6%
6.9% Q1 7.2% Q2 7.4% Q3 7.6% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Semiconductors35%9.3%
Consumer Electronics29%6.2%
Enterprise Hardware22%5.8%
Networking Equipment9%7.9%
Other Hardware5%5.3%
Semiconductors35.0%Consumer Electronics29.0%Enterprise Hardware22.0%Networking Equipment9.0%Other Hardware5.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Apple18.7%
Samsung16.4%
Intel12.9%
NVIDIA9.8%
AMD7.3%

Future Outlook and Predictions

The Nvidia: Latest Updates and Analysis landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the hardware tech sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing hardware tech challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of hardware tech evolution:

Supply chain disruptions
Material availability constraints
Manufacturing complexity

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the technologies discussed in this article. These definitions provide context for both technical and non-technical readers.

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platform intermediate

algorithm Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

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interface

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platform

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