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Flash memory breakthrough could help supercharge NAND production for SSD, memory cards - but does it actually matter? - Related to its, cards, actually, supercharge, commercially

Adobe releases its first commercially safe Firefly video generating AI

Adobe releases its first commercially safe Firefly video generating AI

Following on the success of its IP-friendly Firefly Image model, Adobe presented on Wednesday the beta release of a new Firefly Video model, as well as two subscription packages with which to access its audio and video generating abilities. Generate Video, , “empowers creative professionals with tools to generate video clips from a text prompt or image, use camera angles to control shots, create professional quality images from 3D sketches, craft atmospheric elements and develop custom motion design elements.”.

The model will initially be able to generate video in 1080p resolution to start, though the business plans to release a 4k model for professional production work in the near future. Like the image generator, Firefly Video is trained exclusively on Adobe stock, licensed, and public domain content, making its outputs usable in commercial applications without fear of them running afoul of copyright or intellectual property protections. And, unlike Grok 2, there’s minimal chance of it outputting racist, offensive, or illegal content.

Firefly Video will be accessible both through Adobe Premiere Pro (as the Generative Extend tool) and through a new web application , [website] customers will be able to generate video clips from both text prompts and reference images, as well as add atmospheric effects and custom motion design elements. They’ll even be able to lock in the first and last frames of a clip, “to preserve visual continuity, keep colors and character details consistent.”.

The new Scene to Image feature allows customers to “seamlessly render production-ready assets” using a 3D sketching tool, converting a creator’s concept art into high resolution images and structure references that can then be used to iterate a generated video clip. Firefly Video can also generate audio to translate spoken dialog into any of 20 languages.

Adobe is rolling out a pair of subscription plans alongside Firefly Video, either of which will grant you full access to the new model. The $10 per month Firefly Standard plan offers 2,000 video/audio credits per month worth as many as 20 5-second video generations at 1080p. The $30 per month Firefly Pro plan, on the other hand, provides 7,000 video/audio credits per month which will get you up to 70 5-second clips at 1080p. Adobe also revealed that a “Firefly Premium” plan is in the works, geared towards professionals looking to generate high volumes of video and audio, though there’s no word yet on what it might cost or when it will be released.

Adobe Firefly Video Model Coming Soon | Adobe Video.

Adobe first teased the Firefly video model in April of last year before providing a preview of its capabilities in September. It enters an increasingly crowded market with competition from both premium and free-to use models alike, such as Kling AI, Meta’s Movie Gen, and OpenAI’s Sora.

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This breakthrough holographic display could make AR glasses a reality in 2026

This breakthrough holographic display could make AR glasses a reality in 2026

Table of Contents Table of Contents Swave’s HXR display What’s a holographic display? Swave HXR in AR glasses Swave HXR in 2026? Alternatives for 2025.

Consumer AR glasses could soon become a reality thanks to a breakthrough holographic chip from Swave. Lightweight, low-power, affordable AR glasses have thus far been a distant dream.

The best smart glasses can display massive virtual screens but require a phone or other device for video and power. The buzz around AR glasses has been growing, spurred by an impressive Meta Orion prototype demonstration and the powerful new Snap Spectacles improvement. However, we’re still waiting for comfortable, affordable glasses that display bright, crisp images over a wide field of view.

Swave’s holographic extended reality (HXR) display should be lighter and more compact than the birdbath optics used in leading smart glasses, yet it could significantly boost resolution and brightness. The latest smart glasses with heads-up displays (HUDs) use waveguides, which limit the field of view (FoV) and often lack color.

With a densely packed holographic display powered by lasers, Swave’s full-color HXR will provide up to 64 gigapixels of resolution with minimal light loss. Using phase-change technology similar to rewritable DVDs, it’s a low-cost solution with pixels that are 170 times smaller than standard displays, tiny enough to diffract light.

While this holographic display technology is ideal for AR glasses, it can be scaled to fill the windshield of a car for visible navigation cues, similar to BMW’s Panoramic iDrive display shown at CES 2025. Swave is exploring automotive screens and larger, wall-sized volumetric displays for enterprise use.

You’ve seen holograms before as the rainbow shimmer of a security symbol on a credit card or an eye-catching image that seems to pop off the surface of a card when the light hits just right. Holograms capture a three-dimensional snapshot of an object or scene for later viewing from different angles.

The process is complex and quite technical. In short, precisely arranged lasers reflect off objects to encode interference patterns on a recording medium. When light hits the finished hologram, nanometer-scale variations in these patterns diffract light to decode and reconstruct the 3D image.

Using holographic techniques in technology requires a display that can encode microscopic interference patterns. Ideally, it should be easy to improvement the pattern to quickly change what’s shown without drawing too much power. Swave’s breakthrough meets these demands with a low-cost solution.

Swave’s holographic technology could make AR glasses as affordable as today’s smart glasses, while reducing the weight, increasing brightness and resolution, extending battery life, working with prescription lenses, and solving the vergence accommodation conflict (VAC) that makes near-eye displays uncomfortable for some people.

Swave CEO Mike Noonen told me the bill of materials (BOM) is just $50 per eye and the expected weight of AR glasses using HXR technology could be less than 50 grams. The FoV and apparent resolution are tunable with a view as wide as 120 degrees and a retina-like resolution of up to 60 pixels per degree (PPD). Battery life is estimated at more than 10 hours, making these suitable for daily wear. A display intensity of over 2,000 nits makes virtual images visible outdoors.

If Swave can deliver on these promises, next-generation AR glasses could eclipse everything else on the market. For comparison, Xreal One smart glasses boast an FoV of 50 degrees, a resolution of 38 PPD, and brightness of 600 nits in an 84-gram product. They’re comfortable and deliver performance and quality good enough that I use Xreal One as an ultrawide monitor replacement.

Swave also developed a real-time holographic processing unit (HPU) to handle the calculations required to convert an 3D or 2D image into subpixels that form interference patterns. When a low-power laser illuminates the HXR display a holographic image appears.

Since the HXR is a phase-change system, it takes no power to retain an image, providing a way to maximize efficiency by slowing the refresh rate in HUD mode. For AR use and immersive experiences, pixels can be updated in 300 ns.

So far, Swave has been quietly working in their labs and demonstrating only conceptual designs at trade demonstrates. We’re eager to see the first prototype of Swave-powered AR glasses, which should be available within a few months.

If this holographic display technology is as good as Swave indicates, it could greatly accelerate the availability of full-featured AR glasses. Swave’s Mike Noonen estimates HXR and HPU technology could become available to consumers as early as 2026. Swave won’t be launching consumer products itself so the timing depends on manufacturing partners.

If you’re intrigued but don’t want to wait until 2025, there are plenty of great solutions you can buy and start using immediately. I in recent times reviewed several Meta Orion alternatives that give your phone a HUD in glasses form. Notifications, turn-by-turn directions, live captions, translations, and AI assistance work hands-free.

If you want to watch videos or play games on a virtual cinematic screen with a pocket-sized device, the best smart glasses with displays make that possible. Audio smart glasses double as open-ear earbuds and voice-enabled AI assistants. Ray-Ban Meta Smart Glasses combine AI smart glasses with a camera that can record high-quality first-person videos and take hands-free photos.

You can even connect Xreal One and Viture One smart glasses to your computer to enjoy an ultrawide screen without the bulk and expense of a big monitor. That’s great for laptops that have small screens that rest far below eye level.

The current selection of smart glasses have relatively small FoVs so you’ll see the edge if you use software that simulates ultrawide screens or multiple windows. If you’re looking for a more immersive experience, check out the best VR headsets that can transport you to other worlds or place virtual objects anywhere in your space with mixed reality.

Stay tuned for more coverage of Swave and other exciting AR and VR news. 2025 is shaping up to be a huge year for XR technology.

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Flash memory breakthrough could help supercharge NAND production for SSD, memory cards - but does it actually matter?

Flash memory breakthrough could help supercharge NAND production for SSD, memory cards - but does it actually matter?

Researchers find a faster way to etch deep holes for 3D NAND.

Plasma-based cryo-etching technique doubles etch speed, improving efficiency.

Faster etching might mean cheaper storage, but real-world impact is TBD.

3D NAND flash memory is different from traditional single-layer NAND because it vertically stacks memory cells to cram more storage into smaller spaces.

The process involves carving precise, deep holes into alternating layers of silicon oxide and silicon nitride, and this has always been a bit slow, until now.

A team of researchers from Lam Research, the University of Colorado Boulder, and the [website] Department of Energy's Princeton Plasma Physics Laboratory (PPPL) has developed a plasma-based technique that can etch the deep, narrow holes required for 3D NAND memory at a much faster rate, a paper & Technology A claims.

The team’s approach uses a cryogenic etching process using hydrogen fluoride plasma rather than the traditional method.

"Cryo etch with the hydrogen fluoride plasma showed a significant increase in the etching rate compared to previous cryo-etch processes, where you are using separate fluorine and hydrogen information," noted Thorsten Lill of Lam Research. Using the new method saw etching rates for the layers soar from 310 nanometers per minute to 640 nanometers per minute - more than doubling the efficiency.

"The quality of the etch seems to have improved as well, and that's significant," Lill added.

The researchers also looked at the impact of phosphorus trifluoride. Adding it during the process quadrupled the etch rate for silicon dioxide, but it only had marginal impact on the silicon nitride layer. They also looked at ammonium fluorosilicate, a chemical which forms during the etching process when silicon nitride reacts with hydrogen fluoride. This slows down the etching process, but adding water was found to counteract this.

While the technical achievement is to be applauded, the practical implications are less clear. Faster, improved etching rates may simplify and speed up production, but whether these savings trickle down to improved or cheaper storage devices remains to be seen.

“Most people are familiar with NAND flash memory because it’s the kind that is in the memory cards for digital cameras and thumb drives. It is also used in computers and mobile phones. Making this type of memory denser still - so that more data can be packed into the same footprint - will be increasingly critical as our data storage needs grow due to the use of artificial intelligence,” explained Igor Kaganovich, a principal research physicist at PPPL.

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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 Breakthrough Could Memory 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 security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

TPU intermediate

algorithm

SSD intermediate

interface

platform intermediate

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

API beginner

encryption APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.

GPU intermediate

API

RAM intermediate

cloud computing