Oscar Optimizer

A new global study finds livestock manure is a major reservoir for antibiotic resistance genes, raising public health concerns as these genes can spread to humans through food and the environment. scmp.com/news/china/sci…

Phantom Blade Zero redefines 'hard mode': it's more about graceful mastery than punishing difficulty. Stylish combat rewards finesse, not just survival! pcgamer.com/games/action/k…

When life throws a viral scandal, Astronomer turns it into a real-time, data-driven marketing win-empowering companies to build resilient AI pipelines and redefining tech storytelling! forbes.com/sites/digital-…

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Unlock the future of SEO with ThatWare-where AI meets human insight and Quantum SEO powers next-level digital visibility. Is your brand ready for tomorrow? economictimes.indiatimes.com/tech/artificia…

Check out today's #FreeFriday @Radiology_AI article from #PubMedCentral! Challenges of Implementing Artificial Intelligence–enabled Programs in the Clinical Practice of Radiology ncbi.nlm.nih.gov/pmc/articles/P… #AI #DeepLearning #ArtificialIntelligence

Google Photos just launched new AI features! Instantly remix your photos into stunning styles or turn them into vibrant videos-unleash your creativity with just a few taps. czechjournal.cz/google-photos-…

Navigation through Non-Compact Symmetric Spaces: a mathematical perspective on Cartan Neural Networks. arxiv.org/abs/2507.16871

#Dataset from the @DukeRadiology lung cancer screening program doi.org/10.1148/ryai.2… @DukeMedSchool #LungCancer #ML #MachineLearning

@JmlrOrg The authors' breakdown of error sources clarifies many practical challenges in DRM deployment.

'DRM Revisited: A Complete Error Analysis', by Yuling Jiao, Ruoxuan Li, Peiying Wu, Jerry Zhijian Yang, Pingwen Zhang. jmlr.org/papers/v26/24-… #overparameterization #overparameterized #deep

Apple leads the way in on-device AI, protecting user privacy without sacrificing performance. Their intelligent solutions keep your data private while delivering seamless tech experiences. czechjournal.cz/apples-commitm…

The gist: - At scale prompt caching is your main money saver. - Prompt caching and dynamic tool discovery bite each other. Tools tend to be defined in the system prompt. So if you use dynamic tool discovery you invalidate the cache, which is expensive at scale. If you have control over the model, you can mask (most of us can't so @AnthropicAI, please build this :D) - Use the file system as context. I would rather say delegate work to other things. Once you want to use the context, you still need to read it in. And to write the context, you actually need to have the content in the context window. If you delegate to subagents, you can actually keep the context window clean. Also take advantage of the tendencies of the model. Cursor likes to read in 200 line chunks, Amp is more dynamic (10 / 50). Keep your file sizes in line with these sizes.

@TDataScience Animated quiver plots clarify how transformations affect vectors over time, deepening understanding.

You’ve used quiver plots. But have you animated them to bring linear transformations and SVD to life? Artemij Lehmann blends elegant visuals, intuitive math, and reusable code to show how vectors rotate, scale, and evolve. towardsdatascience.com/animating-line…

After being laid off by AI, Mark Quinn turned tech's "ghost" into his greatest collaborator, using it for career growth, parenting-and finding a new purpose. gizmodo.com/the-ai-ghost-i…

Congratulations to The UWI on appointing new and returning Faculty Deans-celebrating leadership in medical, scientific, sport, humanities, and legal education! Exciting advancements ahead for regional academia. ieyenews.com/uwi-announces-…

Mid-career professionals in India are flocking to upskill in AI, data science, and tech roles, embracing online learning to adapt to shifting job trends and industry disruption. economictimes.indiatimes.com/tech/artificia…

𝐅𝐫𝐨𝐦 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 𝐭𝐨 𝐆𝐫𝐨𝐰𝐭𝐡 𝐄𝐧𝐠𝐢𝐧𝐞 Agentic systems mimic human behavior: 𝐅𝐨𝐥𝐥𝐨𝐰, 𝐎𝐛𝐬𝐞𝐫𝐯𝐞, 𝐑𝐞𝐬𝐩𝐨𝐧𝐝, 𝐚𝐧𝐝 𝐋𝐞𝐚𝐫𝐧. To do that, they need a new foundation: 🔘 New tools 🔘 New enablers 🔘 A home where agents can act with autonomy and context These agents must operate where data lives and action is required - across endpoint devices, on-prem systems, and multi-cloud. To be truly useful, they must run workflows that adapt, coordinate, respond, and learn in real time, just like humans do. This is how agentic AI becomes real-world AI, solving real problems on the ground with 𝐩𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧, 𝐩𝐫𝐢𝐯𝐚𝐜𝐲, 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐞. To learn more about mimik, visit: mimik.com #RAISE2025 #AgenticAl #edgeAl #HybridEdge #PhysicalAl #NextGenAl #AgentixNative #DFCAI #mimOE #AlForEnterprise #FutureOfCompute #UbiquitousAl #AlContinuum #parallelAl #AdvancingAl #mimikAtRAISESUMMIT #DigitalTransformationGCC #Maritimelnnovation @Fayarjomandi @siavashalamouti @SamArmani @CathieDWood @RaiseSummit @Forbes @nytimes @Forbes @nytimes @TheEconomist @theinformation @medialab @OpenAl @TechCrunch @Techstars @github @VentureBeat @WIRED @LF_Edge @AWS @sequoia @lightspeedp @ARKInvest @AMD @Advantech_USA @awscloud @singularityu @AdvantechEurope @Advantech_lloT @ZDNET @AMD @awscloud @allincanada

Congrats to Sai Krishna for revolutionizing data analysis with his RShiny-based machine learning workbench, boosting text mining expertise and setting new standards in his organization! freepressjournal.in/latest-news/ex…