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As data centers consume more energy to support growing digital demands, engineers at the University of California San Diego have introduced a new chip design that could make powering graphics processing units (GPUs) more efficient. The innovation focuses on a key function in electronics: converting high voltages into the lower levels required by computing hardware. In laboratory testing, a prototype chip successfully performed this type of voltage conversion with high efficiency under conditions similar to those found in modern data centers. The findings, published in Nature Communications, suggest the potential for smaller and more energy-efficient systems in advanced computing environments.…

Customer communications are at a breaking point. For years, organizations have optimized for scale – delivering statements, policies, and notifications efficiently across channels. But leaders today know that customers now expect something fundamentally different: communications that are relevant, timely, and highly responsive to their needs and whims. In other words, customers expect personalized, omnichannel, and two-way engagement – rather than one-way messaging. And when those expectations aren’t met, the consequences are immediate. Research by Aspire shows that one in five consumers (and one in four between the ages of 18 and 43) have switched providers in the past 12 months…

OpenAI has rolled out a new Pro subscription that costs $100 and is in line with Claude’s pricing, which also has a $100 subscription, in addition to the $200 Max monthly plan. Until now, OpenAI has offered three subscription tiers. First is Go, which costs approx $8, second is Plus for $20, and then the final tier is at $200, a jump of $180. On the other hand, Anthropic does not offer an $8 subscription, but it has a $100 subscription that comes between the cheapest $20 and the expensive $200 subscription, and it works for the company because it…

Support CleanTechnica’s work through a Substack subscription or on Stripe. Why were US utility prices so high in Q1 2026? Is it a recent phenonemon, or is it a result of long-established trends? You’d think that natural gas itself would be the cause of rising costs, right? You would’ve been correct years ago, but there’s a set of more recent causes that are making it difficult to rein in rising utility costs. Gas utility spending on distribution infrastructure has more than tripled since 2010, and customers would have saved $130 billion ($1,723 per gas household) if utilities had maintained pre-2010…

Last week, Oppo announced that it would unveil the Find X9 Ultra and Find X9s Pro on April 21 in China, while confirming that the Find X9 Ultra will also be launched in international markets. Now, Oppo has confirmed that the Find X9s Pro will also make its global debut on April 21 at an event in China at 7 PM local time. Machine translated from Chinese Additionally, Oppo is taking pre-orders for the Find X9s Pro through its Chinese website, which confirmed the smartphone’s design, colors, and memory options. Oppo Find X9s Pro The…

Dong, D., Wang, T., Sun, Y., Fan, J. & Lu, Y.-C. Hydrotropic solubilization of zinc acetates for sustainable aqueous battery electrolytes. Nat. Sustain. 6, 1474–1484 (2023).Article  Google Scholar  Han, D. et al. A non-flammable hydrous organic electrolyte for sustainable zinc batteries. Nat. Sustain. 5, 205–213 (2022).Article  Google Scholar  Ji, X. & Nazar, L. F. Best practices for zinc metal batteries. Nat. Sustain. 7, 98–99 (2024).Article  Google Scholar  Jiang, H. et al. Chloride electrolyte enabled practical zinc metal battery with a near-unity Coulombic efficiency. Nat. Sustain. 6, 806–815 (2023).Article  Google Scholar  Yang, C. et al. All-temperature zinc batteries with high-entropy aqueous…

Sahaj Garg, co-founder and CTO of Wispr, a voice-to-text AI that turns speech into polished writing, talks with host Amey Ambade about designing systems for the ambiguity that’s inherent in human input (text, voice, multimodal). Sahaj focuses on concrete architectural and training strategies for building robust AI systems. This episode examines the problem of ambiguity, where it shows up, building robust systems, personalization, communicating uncertainty, and evaluation. The conversation starts by exploring the difference between inherent and reducible ambiguity, major categories of ambiguity including lexical, syntactic, and pragmatic, and the additional sources of ambiguity in voice, such as homophones and…

For years, the software and services industries operated within a clear division of roles: software defined what could be done by codifying capabilities and workflows, while services determined how it was implemented and operated at scale through human effort.  Growth for tech services firms scaled predictably with workforce expansion, supported by leveraged delivery pyramids and utilization-driven margins. Artificial Intelligence (AI) improved productivity within this model, but it did not fundamentally alter its economics.  That equation is now changing.  As AI systems take on increasingly execution-heavy tasks, growth is becoming less tethered to headcount expansion. The traditional linkage between revenue and labor intensity is weakening, placing pressure on pyramid structures, pricing models, and margin assumptions. This is not…

Luca Mezzalira, author of Building Micro-Frontends, originally shared the following article on LinkedIn. It’s being republished here with his permission.Every few years, something arrives that promises to change how we build software. And every few years, the industry splits predictably: One half declares the old rules dead; the other half folds its arms and waits for the hype to pass. Both camps are usually wrong, and both camps are usually loud. What’s rarer, and more useful, is someone standing in the middle of that noise and asking the structural questions: Not “What can this do?” but “What does it mean…

Search “best agentic AI platform,” and you’ll drown in a sea of vendor comparisons, feature matrices, and tool catalogs. The real enemy isn’t picking the wrong vendor, though. Building your own AI solution can kill your ambitions before they even get off the ground. In most enterprises, teams are cobbling together their own mix-and-match stack of open-source tools, cloud services, and point solutions. Marketing has its chatbot builder, IT is experimenting with some hyperscaler’s agent framework, and data science is spinning up vector databases on whatever cloud credits they can scrounge up.  That’s shadow AI in a nutshell, with governance…