• WWW.FASTCOMPANY.COM
    With full speed ahead on AI investment, does ROI matter?
    In the great AI spending spree, does ROI matter?Thats a question that every tech-related company should be asking themselves. The right answer could save businesses a lot of grief while setting them up for success.There will be a projected $1 trillion in spending on artificial intelligence in the coming years. But not all spending is created equal. To give you an idea of how much economic value needs to be created with AI, lets consider chips. If AI providers spend $150 billion just on chips, assuming they need a 50-60% gross margin, they will need to sell $500-$600 billion in services. Those buyers will then need all those AI services to create $1 trillion in economic value.It may seem like a long way from here to ROI, but that math is similar to what the U.S. was facing at the start of the internet boom. Today, the debate about whether the U.S. is overspending on AI plays differently across industries, depending on how much your companys existence depends on it.I group companies into three categories:1. Big TechFor the hyperscalerstechs big cloud companies like Microsoft, Google, Amazon, and Meta, there are two sides to consider. AI could open paths to even greater success and relevance in the future. Or AI could create a whole new level of innovation that disrupts their core business. Either way, those companies have every reason to invest heavily.Without knowing where the payoff will come from or what the killer app will be, Big Tech will have to explore nearly every avenue. There will be plenty of unnecessary investments, a few dead ends and even some fortuitous outcomes, but it will take years for this to play out.Fortunately for these companies, ROI wont be an immediate pressure, as long as their overall financial performance is solid and they are generating enough cash to make massive AI investments.2. Supply chainFor companies that make chips, servers, or operate data centers, there is a need to overinvest in capacity. Their priority is to meet demand, even if it means overestimating and having a surplus. In times of major AI investment its important to have ample AI infrastructure available, or your customers will go somewhere else.Its the game of supply and demand. Some companies may overextend, and others will fall short. If some collapse, there will be consolidation. Assuming theres ongoing demand, valuations will return to market levels.Of course, when you are an AI infrastructure supplier, your attention is on the volume of demand right in front of youthat makes your ROI time horizon more of a secondary concern.3. Applied AIFor companies already using AI, its easier to take a more measured approach to spending. At Verizon, we aim to be the best applied AI company in the U.S., so we make careful investments by setting ROI targets.This approach also helps to develop an AI spending strategy that starts at the implementation level. Earlier this year I cautioned against a centralized AI decision process and instead suggested empowered teams closer to the actual work to provide the insights.The agentic intertwining of AI with frontline agents is a pioneering area of customer care thats already paying off. Weve seen improvements in areas like call efficiency and effectiveness, personalization and satisfaction.With the right input you can focus investment on areas where youve shown progressareas where AI measurably improves your KPIs.History lessonSo are we overestimating the potential value of AI? Maybe not.Twenty-five years ago, the dotcom boom fueled massive investment in internet-based startups and fiber infrastructure. The spending may have been irrational but if you thought the internet was going to play a big part in our future, the logic was sound.When the bust came and the exuberance finally faded, there were a few survivors who went on to prosper. Others went broke, leaving some very attractive assets, like MCIs fiber network, to fall into our hands.For the most part, the internet worked out pretty well. Today, AI presents another enormous opportunity. As history has shown us, you have to take big risks. Right now, the U.S. is in the best position to do that.Sowmyanarayan Sampath is CEO of Verizon Consumer.
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  • WWW.DEZEEN.COM
    LeafyPod unveils AI-powered self-watering smart planter at CES
    Technology brand Leafypod has unveiled an AI-powered smart planter at this year's Consumer Electronics Show (CES).Made from durable plastic materials, the LeafyPod aims to address what the brand identifies as the four main causes of plant death: soil moisture, light, temperature, and humidity."The materials were chosen specifically for their resistance to water exposure and ability to maintain structural integrity over time", Cleo Song, co-founder of LeafyPod, told Dezeen.LeafyPod was revealed at this year's CESThe device has sensors that detect light, humidity, and temperature and relay the data to the LeafyPod app."Our AI-powered watering system automatically adapts to each plant's specific needs by monitoring environmental conditions and adjusting the watering schedule accordingly, ensuring optimal care regardless of the plant variety", Song said.The LeafyPod app works alongside the plant, learning its routine over time and automatically adjusting the watering schedule for optimised care."The planter's clean, minimalistic design in classic white conceals its sophisticated technology including multiple environmental sensors and watering systems", Song continued.LeafyPod is accompanied by an appUsers can recharge the device, while a built-in water reservoir ensures the plants stay hydrated, even during extended trips."The app sends timely notifications for all maintenance needs, from water refills to filter cleaning or replacement", Song said."The cordless design with USB charging capability further simplifies the user experience".Read: Hormometer provides instant at-home hormone level readingsThe gadget can be voice-controlled by integrating it with smart devices like Alexa and Google Assistant.The device features a dual-filter system, with a reusable filter on the pump that can be cleaned and a replaceable filter at the bottom of the transparent inner pot.LeafyPod's sensors can track light, humidity, and temperatureThe LeafyPod also has an adaptive watering system that adjusts based on plant type and real-time environmental data."We designed the water tank to require refilling only once every two weeks to a month, optimizing water usage while maintaining plant health", Song said."The system's AI-driven approach helps prevent both overwatering and under-watering by continuously monitoring soil conditions and adjusting water delivery accordingly."Other devices showcased at this year's CES fair include the Hormometer hormone testing kit and a solar-powered car.The post LeafyPod unveils AI-powered self-watering smart planter at CES appeared first on Dezeen.
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  • WWW.YANKODESIGN.COM
    AMG HYPERVENTURE off-road truck with concealed splitable tent is built for adventures unknown
    Trophy off-road vehicles are powerful beasts with tons of torque and suspension systems crafted to bear the onslaught of the roughest terrain. Typically used for Baja 1000 or other endurance races, they can take on sand dunes, rocks and rough desert trails without breaking a sweat.The custom-built tubular frames and long-travel suspension system absorb the impacts of the rough terrain to handle anything from bumps jumps or uneven surfaces at high speed. Taking the stellar performance of a trophy off-roader and enhancing it with features like an in-built tent and added luxury for adventure trips is what the AMG HYPERVENTURE is about.Designer: H. David WillkeJust like a regular off-road trophy truck, this concept comes with a large V8 engine that can churn out a minimum of 500 and a maximum of 1000 horsepower over long distances. Keeping the overall body weight less is vital, so this modernized trophy truck uses lightweight yet robust body panel materials. The large heavy-duty tires for maximum off-road traction have very deep treads for superior grip on sand or rock trails. Wearing the signature AMG red and carbon gray colors, this Mercedes-branded off-roader radiates luxury in every aspect. Perhaps this has to be one of the most handsome off-road vehicles thatll charm itself into any adventure lovers garage.Since this truck is meant for adventure trips, the bed area is utilized to store the retractable rooftop tent and other essentials. On the inside, it is all about comfort and luxury redefined. The cockpit resembles a racing sportscar, especially with that yoke-styled steering wheel and reinforced racing seats. Unlike a racing trophy truck, this one is not reinforced with a 360 roll-cage frame. Still, there are safety measures in place including harness protectors, so that riders stay safe in the advent of an accident.The retractable seats ensure a maximized level of comfort after a long days drive in the Rockies. For the nights rest, the splittable tent ensures two people can safely sleep. AMG HYPERVENTURE is a well sought out design that fills the gap between a regular off-road truck and high-performance trophy trucks, to cater to the demanding needs of adventure seekers.The post AMG HYPERVENTURE off-road truck with concealed splitable tent is built for adventures unknown first appeared on Yanko Design.
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  • WWW.WIRED.COM
    Hackers Likely Stole FBI Call Logs From AT&T That Could Compromise Informants
    A breach of AT&T that exposed nearly all of the companys customers may have included records related to confidential FBI sources, potentially explaining the bureaus new embrace of end-to-end encryption.
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  • WWW.NYTIMES.COM
    Spain Overhauls Domestic Violence System After Criticism
    Spain uses an algorithm to score how likely a domestic violence victim is to be abused again. A Times investigation last year identified flaws in the system.
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  • APPLEINSIDER.COM
    Third iOS 18.3, iPadOS 18.3, macOS 15.3 developer betas finally arrive
    Apple is rounding out its third batch of developer betas for the current generation, handing out new builds of iOS 18.3, iPadOS 18.3, macOS 15.3, and visionOS 2.3 for testing.Examples of Apple Intelligence at work. The third round of betas for iOS 18.3, iPadOS 18.3, macOS 15.3, and visionOS 2.2 follow after the second, which appeared on January 7. The first round arrived on December 16.Subscribe to AppleInsider on YouTube Continue Reading on AppleInsider | Discuss on our Forums
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  • GAMINGBOLT.COM
    Bluepoint Games Mystery Project Has Been Cancelled
    Shadow of the ColossusandDemons Soulsremakes developer Bluepoint Games officially joined PlayStation Studios in 2021, at which point Sony revealed that the studios next project would be original content. In the years since then, speculation and rumours about Bluepoints next game have been rampant, though unfortunately, that project has come to a premature end.Reported by Bloomberg, Bluepoints mystery title has been cancelled. Interestingly enough, journalist Jason Schreier claims on BlueSky that the game Bluepoint was working on was a live service God of Warproject, of all things. Alongside it, Days Gonedeveloper Sony Bends new live service open world IP has also been cancelled. Both games join a growing list of prominent failures marking Sonys once-ambitious live service plans.Though some of Sonys several recent games-as-a-service cancellations have gone hand-in-hand with studio closures (from SIE London Studio to Firewalk), the company has assured that Bend and Bluepoint wont meet that same fate.BREAKING: PlayStation has canceled two more live-service games, from subsidiaries Bend and Bluepoint, Bloomberg has learned.Fans have long wondered what Bluepoint has been working on for the last couple of years. I can report it was a live-service God of War game. www.bloomberg.com/news/article Jason Schreier (@jasonschreier.bsky.social) 2025-01-16T23:09:48.705Z
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  • VENTUREBEAT.COM
    Game developers expect to get back to growth in 2025 | Metaplay
    Throughout the games industrys rather disastrous 2024, the notion that seemed to bolster everyone along was that it was going to get back to growth in the subsequent year. Gaming backend provider Metaplay today revealed a new report, which shows just how optimistic the industry is at least on a macro level that this is goingRead More
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  • WWW.MARKTECHPOST.COM
    Meet Tensor Product Attention (TPA): Revolutionizing Memory Efficiency in Language Models
    Large language models (LLMs) have become central to natural language processing (NLP), excelling in tasks such as text generation, comprehension, and reasoning. However, their ability to handle longer input sequences is limited by significant computational challenges, particularly memory overhead during inference caused by key-value (KV) caches. Since memory requirements scale linearly with sequence length, this limits the maximum context window that models can effectively process. Existing solutions, such as sparse attention mechanisms and off-chip storage, attempt to mitigate this issue but often introduce trade-offs, such as increased latency or the risk of losing important information. Addressing memory consumption without compromising model performance remains a critical challenge in scaling LLMs for practical applications.A team of researchers from Tsinghua University, Shanghai Qi Zhi Institute, UCLA, and TapTap have introduced Tensor Product Attention (TPA), an attention mechanism designed to alleviate the KV cache bottleneck. TPA leverages tensor decompositions to represent queries, keys, and values (QKV) compactly, significantly reducing the KV cache size during inference. By employing contextual low-rank factorization, TPA achieves substantial memory savings while maintaining or improving model performance. Moreover, it integrates seamlessly with Rotary Position Embedding (RoPE), allowing compatibility with widely-used attention-based architectures like LLaMA. This approach enables TPA to serve as a drop-in replacement for multi-head attention (MHA), forming the basis of the Tensor Product Attention Transformer (T6), a sequence modeling architecture that shows notable performance improvements in language modeling tasks.Technical Details and BenefitsTPA introduces a novel approach to factorizing QKV activations dynamically into low-rank components. Unlike static weight factorization techniques like LoRA, TPA generates contextual representations tailored to the input data. Each tokens Q, K, and V components are expressed as a sum of tensor products of latent factors, which are derived through linear projections of the tokens hidden state. This tensor structure facilitates efficient representation and reduces memory usage.A key advantage of TPA is its integration with RoPE. Traditional low-rank methods face challenges with RoPE due to its dependence on relative positional invariance. TPA resolves this by pre-rotating tensor components, enabling efficient caching and inference while preserving positional information.The memory efficiency of TPA is significant. Standard MHA relies on a full-size KV cache proportional to the number of heads and their dimensions, whereas TPA reduces this requirement by caching only the factorized components. This reduction enables the processing of much longer sequences within the same memory constraints, making it particularly effective for applications requiring extended context windows.Results and InsightsThe researchers evaluated TPA on the FineWeb-Edu100B dataset across various language modeling tasks. The Tensor Product Attention Transformer (T6) consistently outperformed baselines, including MHA, Multi-Query Attention (MQA), Grouped Query Attention (GQA), and Multi-head Latent Attention (MLA).In terms of training and validation loss, TPA demonstrated faster convergence and lower final losses compared to its counterparts. For example, in experiments with large-scale models (773M parameters), TPA achieved significantly lower validation losses than MLA and GQA. Additionally, TPA showed superior perplexity results across multiple configurations, highlighting its efficiency and accuracy.Beyond pretraining metrics, TPA performed exceptionally well in downstream tasks such as ARC, BoolQ, HellaSwag, and MMLU. On zero-shot and two-shot prompts, TPA consistently ranked among the best-performing methods, achieving average accuracies of 51.41% and 53.12%, respectively, for medium-sized models. These findings emphasize TPAs capability to generalize across diverse language tasks effectively.ConclusionTensor Product Attention (TPA) addresses the scalability challenges of large language models by introducing a dynamic, low-rank factorization mechanism that reduces the memory footprint of KV caches while maintaining strong performance. Its compatibility with existing architectures and solid results across various benchmarks make it a practical alternative to traditional attention mechanisms. As the need for longer context processing grows in language models, methods like TPA provide an efficient path forward, combining memory efficiency with robust performance for real-world applications.Check out the Paper and GitHub Page. All credit for this research goes to the researchers of this project. Also,dont forget to follow us onTwitter and join ourTelegram Channel andLinkedIn Group. Dont Forget to join our65k+ ML SubReddit.(Promoted) Aswin Ak+ postsAswin AK is a consulting intern at MarkTechPost. He is pursuing his Dual Degree at the Indian Institute of Technology, Kharagpur. He is passionate about data science and machine learning, bringing a strong academic background and hands-on experience in solving real-life cross-domain challenges. Meet 'Height':The only autonomous project management tool (Sponsored)
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  • WWW.IGN.COM
    Save $1,000 Off This Decked Out Alienware Aurora R16 RTX 4090 Gaming PC
    The best high-end prebuilt PCs command premium prices, but that doesn't mean you can't find great deals that will still save you a lot of money. Right now, Dell is offering an Alienware Aurora R16 GeForce RTX 4090 gaming PC for $3,699.99 after a $1,000 off instant discount. GeForce RTX 4090 graphics cards are actually going back up in price again, and getting a standalone card will run you at least $2,000 from a legitimate vendor, which means building your own DIY PC may not be as cost effective as you'd think. Plus, you have the advantage of an all-inclusive warranty with a prebuilt PC.Alienware Aurora R16 RTX 4090 Gaming PCAlienware Aurora R16 i9-14900KF RTX 4090 Gaming PCThis Alienware Aurora R16 gaming PC is equipped with an Intel Core i9-14900KF CPU, GeForce RTX 4090 GPU, 64GB of DDR5-5200MHz RAM, and a 4TB NVMe SSD. The 14th gen Intel Core i9-14900KF is the best Intel gaming CPU you can get right now, and it's also a productivity beast. The chip is known to run pretty hot, but fortunately it's cooled by a robust 240mm all-in-one liquid cooler. The entire system is powered by an 1,000W 80PLUS Platinum power supply.The RTX 4090 is likewise the most powerful GPU on the market. No other video card, either from NVIDIA or from AMD, comes close. In his RTX 4090 review, Chris Coke writes "The RTX 4090 may be huge and expensive, but holy smokes if it doesnt blow the competition out of the water... Until the rest of the pack can catch up, between its impressive hardware specs and its DLSS 3 AI wizardry, even the $1,599 price doesnt seem unreasonable for the unrivaled frame rates that this card can crank out." You'll be able to run any game in 4K with ultra settings and ray tracing enabled and still pump out high framerates, even the newest, most demanding titles like Black Myth: Wukong or Warhammer Space Marine 2.The 4090 is also the consumer card of choice for AI thanks to its 24GB of GDDR6X VRAM.A note on RTX 5000 series GPUsNVIDIA's newest generation of GPUs are set to be released starting the end of January. The RTX 5090 will undoubtedly be a more powerful card, but you'd have to be willing to pay a lot more money for that kind of power. Retail price is set to be $2,000 for the Founder's Edition at launch, but availability will definitely be an issue. The RTX 5080 will launch at a retail price of $999 but again there may be availability issues. We'll be sure to bench this card soon, but it will have less VRAM than the 4090 (16GB vs 24GB) and probably won't quite replace the 4090 as the dominant number two card.A note on Alienware's newest "R16" desktop chassisThe R16 is Alienware's 2024 desktop PC design. It's 40% smaller in volume compared to previous iterations. It features a simple yet proven airflow pattern; air is drawn in through the side intake vents over the GPU area and a 120mm fan at the front of the case, and exhausts by way of a 120mm rear fan and two 120mm top fans. A 240mm radiator for the all-in-one liquid cooling system is mounted to these top fans. Some configurations don't actually include the liquid cooling system, but we rarely include them in this roundup. That's because Alienware's liquid cooling solution is far superior to their stock air cooling and is easily worth the price premium. Note that Dell announced a new Area 51 chassis during CES 2025, but it looks very similar in appearance and design to the R16 chassis.Why Should You Trust IGN's Deals Team?IGN's deals team has a combined 30+ years of experience finding the best discounts in gaming, tech, and just about every other category. We don't try to trick our readers into buying things they don't need at prices that aren't worth buying something at. Our ultimate goal is to surface the best possible deals from brands we trust and our editorial team has personal experience with. You can check out our deals standards here for more information on our process, or keep up with the latest deals we find on IGN's Deals account on Twitter.Eric Song is the IGN commerce manager in charge of finding the best gaming and tech deals every day. When Eric isn't hunting for deals for other people at work, he's hunting for deals for himself during his free time.
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