If you are deep seeking for the next big thing in AI (pun intended), then you need to follow what we’re doing at MemComputing. While some are seeking new algorithms to improve the performance of training, the real problem is inference, which is running on energy-guzzling GPUs; others are building bigger chips, adding more memory, or creating patchwork solutions that tweak one piece of AI’s inefficiency puzzle—we flipped the script, shredded it, fed it to some goats, who then deposited it on a hillside. At MemComputing, we’re not here to follow the crowd or simply patch the problems. If you’re serious about changing the world, you don’t tweak the rules—you rewrite them. We can’t share all the details yet, but we’re on the verge of delivering something truly revolutionary: 🔥 A new neural network design that’s compact and ultra-efficient. 🔥 Software that plays nicely with today’s favorite AI frameworks. 🔥 A groundbreaking chip architecture that outperforms the hype—and slashes energy use to a fraction of what’s required today. Want the full scoop? Check out our latest newsletter and see why energy efficiency is the next frontier for AI. And don’t miss your chance to subscribe for exclusive updates. 🌐 Read the latest Insider Newsletter here: https://lnkd.in/g9THMuNe 📩 Subscribe to become an Insider here: https://lnkd.in/gWw-Sdvc
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New whitepaper: **Evidence-Based Marketing Playbook**. We pressure-tested the Ehrenberg–Bass principles with real-world, publicly available retail datasets (plus reproducible synthetic replicas). The result is a practical bridge from marketing science to weekly decisions. Key findings in plain terms: • **Fix the weak moments.** In the five weakest entry situations (how people start looking), we improved performance from 38% to 52% while keeping the overall success rate within a 5-point band. That’s new buyers hiding in plain sight. • **Don’t over-fit to the heaviest buyers.** In the top 10% of buyers the neat “bigger brand → more repeat” relationship weakens (correlation ≈ 0.63). Treat this as an operations signal (promotions/stock/SKU mix), not a model failure. • **Short-term gains live in the top quarter.** Among the top 25% of recent buyers, adding one more contact explains ~47% of the movement in repeat purchasing—perfect for weekly tests. • **Reach still rules.** The Dirichlet check is a near-pass; growth comes mainly from penetration, not narrow segmentation. What’s inside: • Plain-English playbook: **What it means → What to do → How to measure** • A 14-day checklist and a one-hour reproduction guide • Links to notebooks and public datasets for full transparency 📄 Download (free): https://lnkd.in/gtAKatXd 🔬 See the experiments: https://lnkd.in/gyF-vmpM #MarketingScience #EhrenbergBass #BrandGrowth #EvidenceBasedMarketing #ConsumerBehavior #CausalMarketing #Measurement #Growth
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Let's talk about AI Mode and the easiest ways to AI-proof your content: ✔️ Good content with solid structure and clear headings ✔️ Make it easy for AI to summarize your content ✔️ Good internal linking between pages ✔️ Clear USPs and metadata ✔️ Answer the search query quickly ✔️ A strong link profile never hurts (a bad one definitely can) You can read my full article about this on Ehandelstips.se (link in the comments) Sorry, another Swedish article, but ChatGPT is your friendly translator 🤗
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AI is optimizing supply chains and transforming real estate, from route planning to market analysis. and FAIR are delivering robust solutions that turn potential into performance. Explore the FAIR™ AI Customer Stories ebook: https://bit.ly/4q2f9RO.
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From warehouses to workplaces, AI is transforming the way logistics and real estate operate. Want to see what that looks like in practice? Discover examples in the Foundry for AI by Rackspace (FAIR™) AI Customer Use Case Anthology: https://lnkd.in/gAh2abzD.
AI is optimizing supply chains and transforming real estate, from route planning to market analysis. and FAIR are delivering robust solutions that turn potential into performance. Explore the FAIR™ AI Customer Stories ebook: https://bit.ly/4q2f9RO.
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From warehouses to workplaces, AI is transforming the way logistics and real estate operate. Want to see what that looks like in practice? Discover examples in the Foundry for AI by Rackspace (FAIR™) AI Customer Use Case Anthology: https://lnkd.in/g3KcQ6ux.
AI is optimizing supply chains and transforming real estate, from route planning to market analysis. and FAIR are delivering robust solutions that turn potential into performance. Explore the FAIR™ AI Customer Stories ebook: https://bit.ly/4q2f9RO.
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ITIL- Certified Service Architect | Senior IT Leader | Transforming IT Operations, Driving Strategic Change & Delivering Multi-Million Pound Solutions | FBCS, FCMI
From warehouses to workplaces, AI is transforming the way logistics and real estate operate. Want to see what that looks like in practice? Discover examples in the Foundry for AI by Rackspace (FAIR™) AI Customer Use Case Anthology: https://lnkd.in/e5sdZfqC. #AI #Rackspace #Supplychain #logistics #cloud #IT
AI is optimizing supply chains and transforming real estate, from route planning to market analysis. and FAIR are delivering robust solutions that turn potential into performance. Explore the FAIR™ AI Customer Stories ebook: https://bit.ly/4q2f9RO.
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What do logistics and real estate have in common? AI is optimizing both the streamlining of supply chains and enhancing property management. See how in the Foundry for AI by Rackspace (FAIR™) AI Customer Use Case Anthology: https://lnkd.in/dFdezk3W.
AI is optimizing supply chains and transforming real estate, from route planning to market analysis. and FAIR are delivering robust solutions that turn potential into performance. Explore the FAIR™ AI Customer Stories ebook: https://bit.ly/4q2f9RO.
