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mdpi.com > 2076-16/18/3417 > 9211

Applied Sciences, Vol. 16, Pages 9211: Smartphone-Based Estimation of Ground Reaction Forces and Lower-Limb Kinematics During Functional Tasks Using OpenCap: A Feasibility Study

3+ min ago   (465+ words) (1) Background: Markerless motion capture may enable scalable biomechanical assessment outside laboratory environments, yet its applicability to tasks involving elevated foot contacts and rapid loading transitions remains insufficiently characterized. This feasibility study evaluated OpenCap, an open-source smartphone-based markerless system, for estimating…...


dev.to > ashish_sinha_5241c7673d93 > money-we-gave-back-to-shoppers-matches-no-table-name-four-searches-find-it-anyway-5h7m

"Money we gave back to shoppers" matches no table name. Four searches find it anyway.

46+ min ago   (568+ words) Someone asks your text-to-SQL agent: "money we gave back to shoppers." The table that answers it is called billing_credit_note. Those two strings share no word. Not a low score — zero overlap. Any retriever that works on table names is blind here,…...


markets.businessinsider.com > news > stocks > cloudera-teams-with-nvidia-to-lower-cloud-compute-spend-and-accelerate-apache-spark-pipelines-1036478397

Cloudera Teams With NVIDIA to Lower Cloud Compute Spend and Accelerate Apache Spark Pipelines

4+ week, 5+ hour ago   (305+ words) Cloudera, the only company bringing AI to data anywhere, today announced native GPU acceleration for Apache Spark 4.1 in Cloudera Data Engineering, enabled by the NVIDIA CUDA-X library, cuDF. The... Cloudera Teams With NVIDIA to Lower Cloud Compute Spend and Accelerate…...


biz.heraldcorp.com > article > 10877055

'Startup instead of thesis': UST to train deep tech founders using AI

13+ hour, 1+ min ago   (390+ words) IT·SCIENCE'Startup instead of thesis': UST to train deep tech founders using AI Published: Sept. 17, 2026 - 13:14:10 - Student-professor co-founding supported; 5 teams to receive 50 million won in startup project funding Graduate students pursuing startups built on core technologies from national research institutes will…...


dev.to > boaz_wangai_7bffb392ebc93 > data-modelling-relationships-joins-46cn

Data Modelling, Relationships & Joins

1+ hour, 7+ min ago   (380+ words) Data Modelling in Power BI Extracting reliable insights from a dataset requires a... Tagged with analytics, architecture, data, database....


lesswrong.com > posts > 7qjGWJcRSfMga46uR > hebbian-learning-through-the-lens-of-sae-traning

Hebbian Learning through the lens of SAE traning. — LessWrong

2+ hour, 36+ min ago   (1255+ words) Likely, modern competitive Hebbian learning rules train Sparse Autoencoders implicitly - and their approximations make them worse at it. These algori…...


dev.to > jojo_willnn_ > why-remove-background-is-the-wrong-mental-model-for-video-2p0n

Why "Remove Background" Is the Wrong Mental Model for Video

2+ hour, 42+ min ago   (568+ words) You've seen it happen. You feed a video into an image background remover, export the result, and the subject's hair turns into a cardboard cutout. Fast hand movements smear into semi-transparent ghosts. The edge between foreground and background flickers frame…...


dev.to > dylanfoster1 > choosing-a-multimodal-ai-api-in-2026-match-the-platform-to-the-workload-3880

Choosing a Multimodal AI API in 2026: Match the Platform to the Workload

2+ hour, 38+ min ago   (1165+ words) I wouldn’t pick a multimodal API by counting models. I’d start with what the application actually does: synchronous text requests, occasional image generation, thousands of queued video jobs, or inference behind enterprise IAM. Those are different operating models. A single…...


dev.to > debashish_ghosal > i-let-ai-plan-170-changes-it-made-the-same-3-mistakes-every-time-33ne

I Let AI Plan 170 Changes. It Made the Same 3 Mistakes Every Time.

1+ hour, 56+ min ago   (1219+ words) Everyone is arguing about which model plans best. I ran 170 goals and found out the model was never the variable. The plan was. I built a small engine called PlannerCritic: one LLM writes a plan, a second LLM reviews it,…...