Aonic invests $10m in mobile gaming loyalty firm Mega Fortuna"Mega Fortuna is revolutionising how players interact with mobile gaming," says CEO News by Vikki Blake Contributor Published on Jan. 15, 2025 Aonic has made a $10 million minority investment in "mobile gaming loyalty and discovery platform", Mega Fortuna.The investment comes with the option to acquire its full share capital for $70m.Aonic was attracted to Mega Fortuna as its player reward technology could dovetail with other companies in its portfolio."Mega Fortuna is revolutionising how players interact with mobile gaming by seamlessly blending discovery and rewards," said Paul Schempp, Aonic CEO (thanks, VB)."In just two years, they have built an incredible platform that resonates with millions of players worldwide. This investment not only enhances our portfolio but perfectly fits into our Aonic group particularly through significant synergies with Exmox, our leader in performance-based user acquisition."Mega Fortuna CEO, Şeyhmus lker, added: "This milestone is a testament to the exceptional talent, dedication, and innovation of the entire Mega Fortuna team... None of this would have been possible without the incredible teamwork and passion of our people. "Partnering with Aonic and collaborating with Exmox is not just an opportunity to scale our vision but also a recognition of the outstanding effort that brought us here. I couldnt be prouder of what weve achieved together."

Justin Carter, Contributing EditorJanuary 15, 20252 Min ReadImage via Sony.At a GlanceSony has filed multiple new patents that could shape the future of its controllers.Several patents filed by Sony (spotted by outlets like GameSpot and 80LV), and offer some potential insight into PlayStation's technological future.One application filed in June 2024 concerns a machine learning-based model that appears to address "input lag," the time passed between a pressed controller and the action occuring onscreen. The model is "configured to release user commands to a computer game at a time when the command correctly aligns with what is going on in[it,]" according to the patent.The patent's summary notes input lag is a problem for both system engineers and players, and believes machine learning could "control the computer game according to the user command in advance of the user completing the user command based on the identification."To achieve this, Sony is considering a sensor with a camera that captures the player and their controller, which is then used to train the machine learning program. The technology seems to primarily concern online multiplayer games, where input lag has a dramatic effect.Similarly, one application from June 2023 focuses on machine learning for predicting user commands "before the input action is completed, or might be delayed after completion and processing until a later time when the command is most appropriate for release."Another notable patent centers on a physical attachment that would let players hold the DualSense controller like a firearm. The attachment's apparent aim is to be "more intuitive" for players, as the description notes some players "may lack the dexterity/motor skills" to conventionally hold a controller, and hopes the attachment "alleviates or mitigates the issue."Sony previously experimented with gun-themed control schemes with two shooting attachments for the PlayStation Move, which were officially supported by a number of PlayStation 3 titles.Filing a patent doesn't mean Sony will bring any of its proposed technology to market. In the past, Sony filed patents for technology such as NFTs and local multiplayer for live, in-person events. To date, nothing has come of either, and it quickly shot down speculation that its PlayStation Stars loyalty program was an NFT platform in disguise.You can see Sony's list of published patents here. Among other things, the more recent ones concern inputs, image upscaling, and using machine learning for online multiplayer.Read more about:[Company] PlayStationAbout the AuthorJustin CarterContributing Editor, GameDeveloper.comA Kansas City, MO native, Justin Carter has written for numerous sites including IGN, Polygon, and SyFy Wire. In addition to Game Developer, his writing can be found at io9 over on Gizmodo. Don't ask him about how much gum he's had, because the answer will be more than he's willing to admit.See more from Justin CarterDaily news, dev blogs, and stories from Game Developer straight to your inboxStay UpdatedYou May Also Like

Following a scrubbed launch attempt and weather-related delays, Blue Origin will once again try to send its New Glenn rocket into space for the first time. During the attempt, the Jeff Bezos-owned space company aims to reach orbit, helping to further its goals of shuttling Project Kuiper satellites, equipment, and eventually humans into space.Heres what you need to know about when and how to watch New Glenns long-awaited inaugural launch.What is New Glenn?New Glenn is the 320-foot-tall rocket that Blue Origin initially announced in 2016. Though Blue Origin planned to launch New Glenn by 2020, the project was beset by delays due to issues with engine development and other technical setbacks.The rocket has a reusable first stage powered by the companys BE-4 engines, which run on liquified natural gas and liquid oxygen. Shortly after launch, the first stage is supposed to detach and autonomously land upright on a sea-based platform, where Blue Origin can then retrieve it and reuse it for future missions.Following separation, New Glenns upper stage should fire up its BE-3U engines a less powerful engine that uses liquid oxygen and liquid hydrogen as it attempts to propel itself into space with its payload. The upper stage is capable of delivering 45 metric tons of cargo into low Earth orbit.For this uncrewed launch, New Glenn will house the Blue Ring Pathfinder, a payload consisting of a communications array, a power system, and a flight computer. This will let Blue Origin test its Blue Ring spacecraft, which will eventually support missions with refueling, hosting, data relay, and cloud computing capabilities.New Glenns first stage uses BE-4 engines, while its upper stage has less powerful BE-3U engines. Image: Blue OriginEarlier this week, Blue Origin scrubbed New Glenns launch due to a vehicle subsystem issue. A successful first launch could make Blue Origin a serious rival to Elon Musks SpaceX. Along with competing for government contracts, both commercial space companies are also working to build out internet satellite constellations, with SpaceX regularly sending Starlink satellites into space and Blue Origin on tap to support Amazons Project Kuiper initiative.When will Blue Origin launch New Glenn?Blue Origins next launch attempt will take place at Launch Complex 36 in Cape Canaveral, Florida, on Thursday, January 16th. The three-hour launch window opens at 1AM ET (10PM PT). How to watch New Glenns launchYou can watch a livestream of New Glenns launch from Blue Origins website, its X account, and its YouTube channel. Well embed a livestream here when it becomes available.

Large Language Models (LLMs) and Vision-Language Models (VLMs) transform natural language understanding, multimodal integration, and complex reasoning tasks. Yet, one critical limitation remains: current models cannot efficiently handle extremely large contexts. This challenge has prompted researchers to explore new methods and architectures to improve these models scalability, efficiency, and performance.Existing models typically support token context lengths between 32,000 and 256,000, which limits their ability to handle scenarios requiring larger context windows, such as extended programming instructions or multi-step reasoning tasks. Increasing context sizes is computationally expensive due to the quadratic complexity of traditional softmax attention mechanisms. Researchers have explored alternative attention methods, such as sparse attention, linear attention, and state-space models, to address these challenges, but large-scale implementation remains limited.Sparse attention focuses on relevant inputs to reduce computational overhead, while linear attention simplifies the attention matrix for scalability. However, adoption has been slow due to compatibility issues with existing architectures and suboptimal real-world performance. For example, state-space models effectively process long sequences but often lack the robustness and accuracy of transformer-based systems in complex tasks.Researchers from MiniMax have introduced the MiniMax-01 series, including two variants to address these limitations:MiniMax-Text-01: MiniMax-Text-01 comprises 456 billion total parameters, with 45.9 billion activated per token. It leverages a hybrid attention mechanism for efficient long-context processing. Its context window extends to 1 million tokens during training and 4 million tokens during inference.MiniMax-VL-01:The models employ a novel lightning attention mechanism, reducing the computational complexity of processing long sequences. Also, integrating a Mixture of Experts (MoE) architecture enhances scalability and efficiency. The MiniMax models feature 456 billion parameters, of which 45.9 billion are activated for each token. This combination allows the models to process context windows of up to 1 million tokens during training and extrapolate to 4 million tokens during inference. By leveraging advanced computational strategies, the MiniMax-01 series offers unprecedented capabilities in long-context processing while maintaining performance on par with state-of-the-art models such as GPT-4 and Claude-3.5.The lightning attention mechanism achieves linear computational complexity, enabling the model to scale effectively. The hybrid attention architecture alternates between lightning and softmax attention layers, ensuring a balance between computational efficiency and retrieval capabilities. The models also incorporate an enhanced Linear Attention Sequence Parallelism (LASP+) algorithm, efficiently handling extensive sequences. Also, the vision-language model MiniMax-VL-01 integrates a lightweight vision transformer module, enabling it to process 512 billion vision-language tokens through a four-stage training process. These innovations are complemented by optimized CUDA kernels and parallelization strategies, achieving over 75% Model Flops Utilization on Nvidia H20 GPUs.Performance evaluations reveal that the MiniMax models achieve groundbreaking results across various benchmarks:For instance, MiniMax-Text-01 is 88.5% accurate on MMLU and performs competitively against models like GPT-4.The vision-language model MiniMax-VL-01 surpasses many peers, with a 96.4% accuracy rate on DocVQA and 91.7% on AI2D benchmarks.These models also offer a 2032 times longer context window than traditional counterparts, significantly enhancing their utility for long-context applications.In conclusion, the MiniMax-01 series, comprising MiniMax-Text-01 and MiniMax-VL-01, represents a breakthrough in addressing scalability and long-context challenges. It combines innovative techniques like lightning attention with a hybrid architecture. By leveraging advanced computational frameworks and optimization strategies, researchers have introduced a solution that extends context capabilities to an unprecedented 4 million tokens and matches or surpasses the performance of leading models like GPT-4.Check out the Paper and Models on Hugging Face. 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.(Promoted) Asif RazzaqAsif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences. Meet 'Height':The only autonomous project management tool (Sponsored)

LatestMachine LearningRevolutionizing AI with Jamba: The Cost-Effective Game-Changer for Long Contexts 0 like January 15, 2025Share this postAuthor(s): Rohit Sharma Originally published on Towards AI. If you think all LLMs are the same think again. Every time I find something new when I deep dive into a new framework!Ive been of late experimenting with Jamba and as a GenAI architect whos tested it extensively Ive been blown away by what it can achieve and would make us re-think our solutions going forward.All This while simplifying workflows and slashing the costs!Lets dive into why this model is making waves.Jamba isnt yet another name in the crowded AI landscape its a breakthrough model thats redefining the science of how we approach the long-context tasks, cost-efficiency and GenAI architectures. From ingesting entire annual reports in a single shot to natively supporting tool-calling for agentic apps.Core Abilities1. Real Long Context Length: Beyond RAG Without a Vector DBWhat it does: Jamba eliminates the need for a vector DB in many cases because of its ability to handle massive docs directly in its 256K context window. This removes the need for chunking, embedding and retrieval pipelines.Why it matters: Unlike many models Jambas claimed/promised context length aligns with its actual performance. During testing, I loaded an entire annual report into the context, and Jamba processed it with 85% accuracy on insight extraction tasks. Run-time inclusion of documents in RAG workflows is going to be the biggest use case here. Long document summarization and insight extraction. Analyzing call transcripts or long chat histories. Multi-hop reasoning in agentic systems.2. Out-of-the-Box Conversational RAGWhat it does: Jamba has native support for RAG that takes care of chat history, chunking, indexing, and retrieval strategies, making it ideal for conversational AI applications.Why it matters: GenAI architects can leverage these capabilities without building custom RAG pipelines unless the use cases or the documents complexity demands it. This would accelerate deployment. I see this as a huge help in Building intelligent customer support bots that have a dynamic ever changing document knowledge base. Context-aware multi-turn conversations in enterprise chat tools. All of this was possible anyway but the velocity of the solution development is going to be 10xed (for certain use-cases as I said).3. Enhanced RAG PipelinesWhat it does: Even in traditional RAG workflows/pipelines involving Vector DBs Jambas ability to of handling massive context lengths would improve the final synthesis due to inclusion of complete context. This would be particularly useful for solutions where the context length of the retrieved documents used to be limited by the LLMs promised context length. And lets face it most of the times the actual-context-length never matches the promised-context-length when one starts comparing the synthesis quality of the final response.Why it matters: Longer context capabilities enable handling larger document batches and multi-turn chat histories enhancing quality. Legal/medical/compliance workflows with large knowledge management systems requiring high recall rate are going to benefit from this a lot.4. Agentic App ReadinessWhat it does: Jamba supports native tool-calling alongside its long-context abilities which makes it an ideal model for agentic applications and complex reasoning tasks (at lower cost and lightweight architecture).Why it matters: The ability to natively invoke external keeps the doors open for dynamic and interactive agentic workflows. I see a huge value of this in advanced reasoning agents in operational workflows and financial analysis that require real-time API integration.5. Output FormattingWhat it does: Jamba supports native JSON output formatting, streamlining integration with downstream systems.Why it matters: Structured outputs reduce parsing errors and improve automation.Cost and Efficiency1. Efficiency GainsJamba delivers 3x throughput on long contexts compared to similar models, like Mixtral while maintaining accuracy.Its hybrid architecture combining Mamba (SSM) and Transformer layers optimizes compute usage for high performance.2. Lower CostsEliminates the need for VDBs in static workflows, reducing infrastructure costs.Fits 140K tokens on a single GPU, minimizing hardware requirements.3. Optimized Latency and ThroughputAchieves faster response times, even with large input contexts, enabling real-time use cases.Simplifying ArchitecturesJambas unique long-context handling enables simpler, more streamlined architectures:Without Vector Databases: Ingest documents directly into the prompt for static use cases like annual reports or legal contracts. Reduce the architectural overhead of embedding, chunking, and retrieval pipelines.Streamlined RAG Pipelines: Handle larger, more relevant document batches with fewer retrieval operations.Examples:Legal Analysis: Process contracts without retrieval systems, answering queries directly from the document.Customer Support: Load product manuals or FAQs directly into context for instant, context-aware responses.Compliance Audits: Analyze policy documents or regulations in a single pass, reducing pre-processing overhead.Comparing Jamba with Other ModelsHere is a quick comparison of Jamba with popular LLMs in market (Source)Final TakeawaysJamba has the potential of redefining some GenAI specific workflows by enabling real long-context handling, involving lightweight architectures and reducing costs.Its unique combination of long context lengths, native tool-calling, and efficient compute usage makes it an excellent option for GenAI architects.Whether youre analyzing massive documents, running agentic systems, or building cost-sensitive AI solutions Jamba is worth exploring.Ready to dive in? Jamba is live on Hugging Face (Links below)Key Links:Jamba: https://www.ai21.com/jambaModel Cards:ai21labs/AI21-Jamba-1.5-Large: https://huggingface.co/ai21labs/AI21-Jamba-1.5-Largeai21labs/AI21-Jamba-1.5-Mini: https://huggingface.co/ai21labs/AI21-Jamba-1.5-MiniJoin thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post

Marvel Rivals players are being treated to an unlikely crossover that brings the Advanced Suit 2.0 from Marvels Spider-Man 2 into the game as a new skin.PlayStation announced the news itself in a post on X/Twitter, revealing a first look at how NetEase Games is reimagining the classic video game outfit for its new hero shooter.This sleek Spider-Man suit made its debut as an original design for Insomniac Games Marvels Spider-Man, going on to make appearances in all three entries in that series. The main element setting this suit apart from the rest is its now-iconic white spider symbol, with its appearance in Marvel Rivals cementing it as a surprise collaboration with Sony and its console-exclusive superhero game. Expect Spider-Mans Advanced Suit 2.0 to swing into the in-game store on January 30, the same day Marvels Spider-Man 2 comes to PC.Marvel Rivals has a surprise collaboration with Sony's Spider-Man game.Marvel Rivals launched in December and already offers a smorgasbord of unlockable suits, but this new Spidey suit arrives as an especially unique addition. Along with its ties to the massively popular PlayStation series, the Advanced Suit 2.0 will once again be worn by a Spider-Man who is voiced by Yuri Lowenthal. The actor has played Peter Parker in all three of Insomniacs Spider-Man games and also happens to have provided his talents for Marvel Rivals take on the character. In other words, those who pick up the costume come January 30 should feel right at home as they thwip their way to victory.NetEase's decision to bring Spider-Mans Advanced Suit 2.0 into the fold gives players another piece of content to look forward to among everything that dropped with Season 1: Eternal Night Falls last week. This first season of content added Fantastic Four representatives Mister Fantastic and the Invisible Woman as new playable characters, with The Thing and Human Torch set to join in just a few weeks. Much more is on the way, too, as creative director Guangyun Chen recently promised to launch at least one new hero every month and a half.While we wait to try out that new Spider-Man suit for ourselves, be sure to read up on some of the custom skins players have modded into the game. You can also learn about all of the balance changes introduced with Season 1 and how some players are using an Invisible Woman ability to detect what they believe are bot players.Michael Cripe is a freelance contributor with IGN. He started writing in the industry in 2017 and is best known for his work at outlets such as The Pitch, The Escapist, OnlySP, and Gameranx.Be sure to give him a follow on Twitter @MikeCripe.

This article contains spoilers for Star Wars: Skeleton Crew episode 8.We still may not know much about Jude Laws Jod Na Nawood (if thats even his real name) or the various identities hes assumed across his life, but the season finale of Star Wars: Skeleton Crew may have just given us the first real nugget of information about his past. Jod is a ruthless pirate, theres no doubt about that, but hes also clearly Force-sensitive. While previous fan theories have assumed that he was a survivor of the initial wave of Order 66, the story he tells to the kids and their parents sounds more like he was a victim of its aftermath.Jod tells them that a woman, a Jedi on the run, found him starving on his home planet and took him under her wing. According to Jod, she only taught [him] a little before they hunted her down, and they made me watch whilst they killed her While he doesnt explicitly define who they are, its not unlikely that she was killed by Darth Vaders Inquisitors.After the initial massacre of the Jedi, Darth Vader created the Inquisitors as a sort of Jedi-hunting task force. This program took Force-sensitive youths, many of whom were former Jedi, and turned them over to the Dark Side. While they arent considered to be full Sith, the Inquisitors are taught to channel anger and hatred and use that to hunt down other Force-sensitive people. In some cases, especially if the Force-sensitive person is younger, theyll try to convert them, but most of the time the Inquisitors have orders to kill.And from what weve seen of the Inquisitors in Star Wars thus far, whether in Star Wars: Rebels, Obi-Wan Kenobi, or the Star Wars Jedi: Fallen Order video game series, among others, the Inquisitors are ruthless and often relish their kill, just as Jod describes. Obviously he found a way to escape whomever it was at some point, but even spending just a short time with the Inquisitors makes Jods whole deal make a lot of sense.The Inquisitors and pirates seem to have a lot more in common than you might think. They are both ruthless, going after what they want with a greedy fervor. Whether they are after riches or power, both groups are willing to do whatever it takes to get what they want. They arent afraid to use fear and intimidation to make others bow to their will, and they arent above taking hostages to lure their true target out in the open.If Jod really has been fighting for his survival his entire life, a run-in with the Inquisitors is just the kind of encounter that could begin to turn a scared young boy into the ruthless man we know him as now. Especially if that encounter tore him from the one person in his past that seems to have ever shown him kindness.Now this is all just speculation Jods past is still just as much an enigma of secret identities and apparent backstabbing as it was when Skeleton Crew began. But this is the first clue about his past that feels real and not like a misdirect or manipulation tactic. Hopefully this isnt the last weve seen of this mysterious pirate and simply the beginning of his story, both past and present, in the Star Wars universe.All eight episodes of Star Wars: Skeleton Crew are available to stream on Disney+ now.

At Xbox, were continuing to improve how we design, build, distribute, and use our products to reduce our environmental impact and help us reach Microsofts goal of being a zero waste, carbon negative, and water positive company by 2030. Finding ways to reduce the environmental footprint of gaming not only helps the environment but also creates benefits for our collective community of players.Weve heard from players that they want more options for support when their Xbox consoles need repair. Today, were expanding our repairability program, giving players even more options to get their Xbox Series X|S console options the Xbox Series S 1TB in Robot White, Xbox Series X 1TB Digital Edition in Robot White, and Xbox Series X 2TB Galaxy Black Special Edition fixed should they ever need to, while also reducing and preventing waste.Expanding Repairability, Updating Console Packaging and Reducing Plastic WastePlayers will soon have more options for support when considering in-person repairs for the three Xbox Series X|S console options. On January 20, uBreakiFix by Asurion will become the first Xbox Authorized Service Provider to repair Xbox consoles at its nearly 700 participating store locations across the U.S. In-person Xbox console repairs were previously only possible through the Microsoft Store, which means players will now have even more ways to repair their consoles, separate from Microsofts own support channels. Players should check with their local uBreakiFix by Asurion store to confirm participation in this repairability program.Additionally, replacement components for the three Xbox Series X|S console options are now available for purchase via the Microsoft Store and replacement console parts are also now available for purchase online via the Microsoft Repair Hub on iFixit. With the purchase of replacement components previously limited to controller parts and only available through the Microsoft Store, these additional repair options allow players to choose the repairability solution that works best for them, even if their console is out-of-warranty.By expanding the number of ways players can get support and repair for their Xbox consoles, we also help extend the longevity of Xbox devices, reduce waste, promote re-use, and ultimately reduce our environmental impact.Providing more options for repair isnt the only way Xbox is reducing plastic waste. At Microsoft, our goal is to eliminate single-use plastics from our packaging by 2025. Packaging for the three Xbox Series X|S console options are now fully paper and fiber-based, eliminating all single-use plastics.Reducing Carbon Impact through Energy UpdatesWe recently announced that, in just three years (FY20-FY23), Xbox has contributed to Microsofts goal of becoming a zero waste, carbon negative, and water positive company by 2030 with interventions to reduce energy from console usage that have prevented over 1.2 million metric tons of CO2e (Carbon Dioxide equivalent) compared to usage without interventions. According to US EPA estimates, this reduction prevents emissions equivalent to more than 3 billion car miles (driven by an average gasoline-powered passenger vehicle) being released into the atmosphere.Through recent system updates to Xbox consoles, we have also made significant advancements in how Xbox Series S handles video content. So far, these improvements have led to anaverage reduction approaching 10% in power consumptionacross all media apps on Xbox Series S, contributing towards lowering Microsofts usage-based carbon footprint and potentially allowing players to save on their monthly electric bills. Making Xbox consoles more energy efficient through system updates and player adoption of energy saving features like the Shutdown (energy saving) power option, which do not compromise gameplay, media app, or console performance, have been the primary ways Xbox and our community have contributed to these energy and emissions savings.To ensure youre taking advantage of the latest energy efficiency features on console, go to Settings > General > Power options and confirm that Shutdown (energy saving) is active.Collaboration Between Game StudiosThe work towards building a more sustainable future for gaming is never complete, and at Xbox we are committed to continuously enhancing sustainability in gaming by implementing innovative solutions to reduce our environmental impact that preserve the gameplay experiences our players love. Achieving these goals is only possible through collaboration with others in the industry, and were proud to see game creators not only leverage the Xbox Sustainability Toolkit, which helps them create more energy-efficient games, to implement energy savings via their own games but also take those learnings and continue their own work of identifying new ways of reducing impact on the environment.Gaming brings joy to players, but we recognize it also has an impact on our environment. Our commitment to our players and the industry is to work to minimize that impact. We have set ambitious goals at Microsoft and it wont be a straight path to 2030, but we are committed to achieving these goals by empowering game creators, designers, and production teams with the cutting-edge analytic tools, bespoke toolkits, and cross-team solutions that can allow everyone to continue to a build a more sustainable gaming future.To learn more about our efforts to improve our environmental impact, visit xbox.com/sustainability.

Australian-German startup Quantum Brilliance has raised $20mn in Series A funding as it looks to deploy small, portable quantum accelerators that promise to supercharge the computational power of everything from data centres and robots to satellites.A quantum accelerator is a specialised hardware unit that speeds up specific quantum algorithms, or tasks. They act as co-processors to classical computers, such as CPUs or GPUs, taking on specific quantum calculations.Austrian deep tech fund Main Sequence, In-Q-Tel (IQT) in the US, and Japans Intervalley Ventures led the funding round. It represents a significant step forward as we advance the design, performance, and manufacturability of diamond quantum devices, said Quantum Brilliance CEO Mark Luo.Founded in 2019, Quantum Brilliance uses diamonds in its accelerators, allowing them to operate at room temperature, unlike most quantum systems that need super-cooling. The result is quantum devices that are portable and energy-efficient, making them particularly useful for large-scale deployment in edge devices.Price increase on Friday - Book NowDiamond quantum technology holds immense promise for developing compact and ruggedised quantum sensors and accelerators, said Nat Puffer, managing director at IQT. We believe this technology will play a pivotal role in addressing strategic challenges across industries and critical national priorities.Last year, Quantum Brilliance announced a strategic partnership with Oak Ridge National Laboratory in the United States, home to Frontier, the worlds first exascale supercomputer. The startup will install its diamond accelerators alongside the laboratorys high-performance computing (HPC) systems to explore the potential of combining quantum computing with classical computing.In addition, Germanys cybersecurity agency awarded Quantum Brilliance a $15mn contract in September to deliver the worlds first mobile quantum computer by 2027. A mobile quantum computer could perform complex calculations on-site instead of relying on data centres or cloud access.Quantum computers are rewriting the rules of computing, tapping into the mind-boggling magic of quantum physics to tackle problems regular machines cant touch. Powered by qubits that can juggle multiple states at once, theyre built to crack optimisation puzzles, simulate complex systems, and revolutionise encryption at blistering speeds.Interest in quantum computing has been abuzz since Google unveiled an experimental machine that was able to solve a mathematical equation in five minutes that a traditional supercomputer could not master in 10 septillion years. The breakthrough brought the dream of quantum computing a step closer to reality. Nevertheless, Nvidias CEO Jensen Huang was quick to pour cold water on the hype, cautioning at CES 2025 that practical quantum applications are still 15-30 years away. Story by Sin Geschwindt Sin is a climate and energy reporter at TNW. From nuclear fusion to escooters, he covers the length and breadth of Europe's clean tech ecos (show all) Sin is a climate and energy reporter at TNW. From nuclear fusion to escooters, he covers the length and breadth of Europe's clean tech ecosystem. He's happiest sourcing a scoop, investigating the impact of emerging technologies, and even putting them to the test. Sin has five years journalism experience and holds a dual degree in media and environmental science from the University of Cape Town, South Africa. Get the TNW newsletterGet the most important tech news in your inbox each week.Also tagged with

Earlier this month, Apple CEO Tim Cook donated $1 million to President-elect Donald Trumps inauguration. Now, Bloomberg reports that Cook is set to attend Trumps inauguration next week. Many big tech companies, including Meta, Amazon, Microsoft, and Google, have donated to Trumps inauguration. Of note is that Tim Cooks donation is being made personally to Trumps inauguration fund. Apple as a company has not donated. In addition to Cook, Meta CEO Mark Zuckerberg and Amazons Jeff Bezos will attend Trumps inauguration next week. Telsas Elon Musk will also (unsurprisingly) be in attendance. The president-elect has also met privately with a number of executives at his Mar-a-Lago resort in Florida, including Cook. Bloomberg says that Trumps inauguration fund has raised $200 million, shattering previous records. Inauguration Day is on January 20 in Washington, D.C and the event kicks off at 12 p.m. ET. Add 9to5Mac to your Google News feed. FTC: We use income earning auto affiliate links. More.Youre reading 9to5Mac experts who break news about Apple and its surrounding ecosystem, day after day. Be sure to check out our homepage for all the latest news, and follow 9to5Mac on Twitter, Facebook, and LinkedIn to stay in the loop. Dont know where to start? Check out our exclusive stories, reviews, how-tos, and subscribe to our YouTube channel