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Cisco Launches New Software to Thread Quantum Computers from Different Makers

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Cisco Launches New Software to Thread Quantum Computers from Different Makers
News

Cisco Launches New Software to Thread Quantum Computers from Different Makers

Cisco Launches New Software to Thread Quantum Computers from Different Makers

Penetrating the incompatibility snags, Cisco rolls out a new software to help quantum computers operate in harmony over a single cloud.

The tech powerhouses opt to build their own quantum computers that solve complex computing challenges using quantum physics.

This is the traditional way, one that works efficiently than classical machines. Cisco has always been the provider of networking gear that runs the latter. But at the moment, it’s chosen to take a different path forward-

Cisco is kickstarting a revolution in the form of state-of-the-art networking chips that’ll thread the quantum machines together.

But it’s also making another splash.

Along with the next-level chips, it’s also working on software that will weave together all quantum computers into a single cloud, making it increasingly easy for developers to build next-generation applications.

What is Cisco’s objective?

Through this advanced infrastructure, quantum computers will take on a challenge that software developers commonly face and split it among themselves. This will offer diverse insights as each quantum computer leverages different approaches to solve a single problem.

The current bid is on which quantum computer will work best as the US market leaders make a bet on theirs. But for now, there’s no clear winner.

The answer will come through as the software becomes available and comes into application. But the point is that the complexity remains not the developer’s problem, and neither is the type of technology that exists.

At this moment, the heated competition for the best quantum computer continues.

Google's New AI-Driven 'Mixboard' Could Rival Pinterest. What are the Initial Opinions?
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Google’s New AI-Driven ‘Mixboard’ Could Rival Pinterest. What are the Initial Opinions?

Google’s New AI-Driven ‘Mixboard’ Could Rival Pinterest. What are the Initial Opinions?

AI could prove more of an asset to amp up creativity and storytelling. Could Google’s AI moodboard successfully rival the fan favorite- Pinterest?

Aesthetics- that’s what most users gravitate towards on social media. There’s no rulebook as to what’s considered the right aesthetic. There are plenty out there, from cottage core to dark academia, which has become a vital flair across the newer generations. It comes down to the appeal- there’s a certain softness and magic realism that these aesthetics offer users, especially amidst a world that’s so clunky and filled with noise.

Today, social media has become a significant element of this clutter. There are too many ads, too many posts, and too much ‘selling’- some aspects that modern consumers are all too frustrated with. But amid this noise, there’s an app that strikes the perfect balance.

It’s a consumer favorite- Pinterest.

This app doesn’t ask much from its users, but to take a breath and tune out from the litter of other social media platforms. It offers users their own space to destress and also be creative at the same time.

Google is the new player in the creative AI sphere.

It has launched ‘Mixboard,’ an AI-backed moodboard that will help users brainstorm, design, and visualize ideas. And then make it a reality with generative technology.

It’s just that Google’s Mixboard is a step ahead of Pinterest. Its unique, next-gen capabilities are all set to position the tech giant as Pinterest’s direct rival. Mixboard discards the traditional functionalities of moodboard platforms and adds more edge.

Previously, users had to rely on and curate existing images. Now, they can create more with simple text prompts. This’ll actively help college students and working professionals with DIY projects, interior decor ideas, and event planning. And for those who don’t know where to begin? Mixboard also hosts pre-populated boards.

As AI comes to occupy a core space in creative endeavors, Mixboard could make a splash in the market. But for now, it remains accessible to early adopters as a public beta on Google Labs’ platform.

Hightouch and Narrative Are Finally Giving Companies Their Identity Back
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Hightouch and Narrative Are Finally Giving Companies Their Identity Back

Hightouch and Narrative Are Finally Giving Companies Their Identity Back

So Hightouch and Narrative are teaming up. And it’s actually interesting. The pitch is: you don’t have to let some vendor lock your customer data away anymore.

You can build your own identity graph, inside Snowflake, using your first-party data and a bunch of third-party sources. Sounds simple, but nobody has really done it like this before.

Tim Mahlman from Narrative says it straight: “The enterprise identity market has been broken by vendors who want to own your data and limit how you use it. We built Composable Identity because enterprises should control their identity graphs in their own infrastructure.” And honestly, that hits.

Kashish Gupta from Hightouch says it’s about real power: “Enterprises own their data, control their identity graph, and can activate audiences how they choose while keeping governance tight.” That part feels like freedom. Not the fake freedom of dashboards and metrics, but actual control.

And for the people on the other side, i.e., the users, this could actually mean something. More relevant messaging, less spam, fewer random ads showing up everywhere. This is personalization that doesn’t feel like you’re being tracked into oblivion.

It’s still early, and there are a million ways this could go wrong, but this is the kind of move that makes you wonder why no one did it sooner. Composable, cloud-native identity graphs might just be the future of data consolidation.

But what does this actually give the companies using it? Well, first, they can take their own data from over 30 third-party sources, such as credit card tokens, demographics, and whatever the organization needs, and build a graph that actually makes sense for their business. Not some generic, one-size-fits-all identity that some vendor decided for them.

Once that graph exists, it doesn’t just sit there. They can push it across 250 plus channels, email, web, mobile, paid media, all the places where reaching the right person matters. Suddenly, campaigns aren’t shots in the dark anymore. They are precise, relevant, and intentional.

And privacy, compliance, those aren’t afterthoughts here. Snowflake’s infrastructure plus Narrative’s automated controls mean governance is built in. Companies can use the data without feeling like they are walking a regulatory tightrope.

Finally, it is flexible. Swap out providers and tweak the graph, if needed, and adjust as the business changes. No need to tear everything down and start from zero. It is composable, adaptable, and made to move as fast as the business does.

Tencent Cloud Partners with TVU Networks for Futuristic Cloud Production Solutions
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Tencent Cloud Partners with TVU Networks for Futuristic Cloud Production Solutions

Tencent Cloud Partners with TVU Networks for Futuristic Cloud Production Solutions

TVU Networks’ transformative partnership with Tencent could revolutionize media workflows across the globe.

With cloud computing gaining increasing ground as a business asset, operational efficiency has become the norm. This vitality and need for cloud computing will no doubt boost the public cloud services market to $1 trillion by 2027.

This informed forecast is actively penetrating media production.

Previously, media production and broadcasting fundamentally relied on on-site hardware for data storage. It was immensely frustrating to manage and expensive to make continuous upgrades.

TVU Networks is opting for a modern solution forward.

The media production organization is partnering with Tencent Cloud to deliver reliability and efficiency. Especially to meet the diverse demands of media production companies.

With data gaining significance in all aspects of the market, there’s a need for a more sophisticated and modern solution. This is where cloud tech steps in. And Tencent’s cloud-based media solution has seamlessly delivered real on-demand capabilities, from real-time conflict reporting to broad coverage.

“TVU’s innovation in microservice-based media workflows has been proven on world stages, including major global sports events, high-stakes elections, and breaking news. Our deep collaboration with Tencent Cloud showcases our ability to customize solutions on Tencent’s infrastructure, enabling global media organizations to run mission-critical production workflows on Tencent Cloud,” adds TVU Networks’ CEO.

It has become the one-stop solution for accessible, agile, and secure data storage solutions across multicloud and hybrid cloud environments. This solution strategically addresses exhaustive demands inherent across every media workflow:

1. Smart editing and content distribution

2. Enterprise-grade security with content protection

3. Ultra-low latency streaming

4. Elastic scalability along with second-level resource scaling

5. Cloud-native optimization

6. AI-backed production with automated subtitles

These are the key technical advantages that Tencent’s solution will afford TVU Networks.

The advancing digital transformation is only a stepping stone. In the long term, it will facilitate strategic resource allocation. And content creation assumes priority, not equipment purchases.

The cloud is becoming imperative for digital ecosystems, even for high-performance tasks. It will foster a more cost-efficient space for media companies, allowing them to collaborate on a global scale.

And build efficient and hitch-free production experiences.

NVIDIA Strikes a $100 Billion Deal with OpenAI to Develop Data Centers
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NVIDIA Strikes a $100 Billion Deal with OpenAI to Develop Data Centers

NVIDIA Strikes a $100 Billion Deal with OpenAI to Develop Data Centers

As OpenAI and NVIDIA land an AI deal, building the requisite infrastructure could be a historical breakthrough.

“There’s no partner but NVIDIA that can do this at this kind of scale, at this kind of speed,” chimes in Sam Altman, OpenAI’s Founder.

OpenAI’s mission has always been to build and deliver general intelligence to both businesses and individuals. A revolution that behaves as a bridge between the AI world and all of humanity. Altman’s vision for AI’s future is an optimistic one- it’ll connect all AI labs to the world, reaching a never-before-seen level of scale.

Cue in: OpenAI has struck a deal with NVIDIA to build and deploy 10 gigawatts, i.e., 3-4 million GPUs worth, of NVIDIA systems. They have signed a letter of intent to concretize this partnership, which will serve as a strategic path to superintelligence. As each gigawatt is deployed, NVIDIA will invest $100 billion into OpenAI.

This objective to build OpenAI’s next-gen infrastructure will also comprise NVIDIA’s Vera Rubin platform. With this alliance, NVIDIA is all geared up to be the AI powerhouse’s preferred networking partner and compute partner.

All the focus is on deployment, data center development, and power capacity. These components will become an integral part of the economy, says Altman. This project will only facilitate increasing AI use while decreasing the cost per unit of intelligence. On the positive side, it is already happening.

This is the need of the hour. The priority can’t just be training; AI companies must also prioritize inference. When there’s not enough computational power, there will always be a need to choose between finding a cancer cure and free education. And when no one wants to take that road, there’s only one solution-

Decoding maximum intellectual capacity- the ever-expanding frontier of AI.

This partnership will prove to be a breakthrough, paving the way forward. Especially to connect intelligence to every use case, device, and application. And Altman believes that NVIDIA is the partner that can deliver this mission.

With the involvement of the leading AI players, this project is the largest AI infrastructure initiative to date. Analysts believe that this alliance could generate revenue equivalent to $500 billion.

OpenAI and NVIDIA, the innovative collaborators, are laying the stepping stone. One that could accelerate the roadmap to a superintelligent future.

MediaTek Launches Improved AI Processor to Compete with Qualcomm
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MediaTek Launches Improved AI Processor to Compete with Qualcomm

MediaTek Launches Improved AI Processor to Compete with Qualcomm

About time the silicon industry starts its competition. From Intel and Nvidia to Apple, Qualcomm, and Mediatek, all are racing to win the AI game. Now, it’s Mediatek’s turn in the spotlight.

MediaTek Inc., sometimes informally abbreviated as MTK, is a Taiwanese fabless semiconductor company that designs and markets a range of semiconductor products, providing chips for wireless communications, high-definition television, handheld mobile devices like smartphones and tablet computers, navigation systems, consumer multimedia products, and digital subscriber line services, as well as optical disc drives.

The organization overtook Qualcomm in 2020 as the leading chipset manufacturer of smartphones. However, Qualcomm’s acquisition of Movian AI (An AI research center from Vietnam) and Alphawave (British Semiconductor Manufacturer) helped position the organization as a force of AI.

And MediTek has taken note of it. The two companies often stand against each other as rivals. And in response, MediaTek has launched the Dimensity 9500, an AI processor chip.

MediTek says this about its chips:” The MediaTek Dimensity 9500 adopts a third-generation All Big Core CPU design, combining a 4.21GHz ultra core, three premium cores, and four performance cores, with four-lane UFS 4.1 storage. This design delivers up to 32% higher single-core and 17% higher multi-core performance compared to the previous generation, while the ultra core achieves up to 55% lower power consumption at peak performance, giving users longer battery life and greater productivity. The 9500 is also up to 30% more power efficient while multitasking in games and social audio call apps.”

Mediatek has essentially created a multi-purpose chip that functions as a CPU and a GPU: it’s powerful enough that the organization says it can handle AAA-type real-time rendering and lighting effects.

And create a smarter smartphone experience.

It will provide: –

  1. Accelerates AI-model efficiency by 40%.
  2. 33% higher peak performance.
  3. 42% Power efficiency and higher interpolation with 120FPS.
  4. 55% less power consumption at peak performance.
  5. Captures RAW- Domain Processing up to 200MP.
  6. 50% lower latency (network) with AI congestion prediction.

Overall, this AI chip is positioned to empower organizations to run AI natively on the device and harness the power of smartphones, something most chip manufacturers are racing to achieve.

But can these chips reach the sophistication of Apple’s M4 and surpass it?

Their designers do think so.