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How to Create Custom Skills in Claude: A Step-by-Step Guide
Claude can review data, check code, write reports, and prepare presentations, but teams still end up repeating the same structure, validation rules, company standards, and final-check instructions in every conversation. That repetition wastes time and often leads to inconsistent results. Custom Skills solve this by packaging reusable instructions, workflows, templates, scripts, examples, and reference files [ ] The post How to Create Custom Skills in Claude: A Step-by-Step Guide appeared first on Analytics Vidhya.
Los Movimientos, Part II: Solving Large Pickup-and-Delivery Problems with Adaptive Large Neighborhood Search
Building an ALNS heuristic in Python for vehicle routing, time windows, capacity constraints, and mandatory driver breaks. The post Los Movimientos, Part II: Solving Large Pickup-and-Delivery Problems with Adaptive Large Neighborhood Search appeared first on Towards Data Science.
DoorDash is building its own drone delivery business
DoorDash has received FAA approval to operate a commercial drone delivery service in the United States.
Spotify adds a running mode to its app
Running Mode will be available to Premium users on iOS in select countries
DoorDash is going airborne with new drone delivery division
A Wing drone carrying a DoorDash delivery. The food delivery app company says it will build its own drones going forward. | Image: Google DoorDash is launching a new drone delivery program called DoorDash Air. The largest food delivery app in the US said that it has approval from the Federal Aviation Administration that clears the way for drone delivery in the near future. DoorDash said it has received a Part 135 air carrier certification from the FAA that enable it to delivery small packages via drone. Other companies to receive this designation include Alphabet's Wing, Zipline, and Amazon. Previously, DoorDash worked with Alphabet's drone delivery division Wing on a number of pilots in places like Dallas-Fort Worth, Virginia, and Australia. Now the company says it will d … Read the full story at The Verge.
Bright Machines says its new hybrid robot cell could help solve a major AI infrastructure bottleneck
Bright Machines wants to solve one of the least glamorous but most consequential problems in the AI buildout: what happens to quality data when a human being has to touch the production line.The San Francisco-based manufacturer announced today the Hybrid BRC (Bright Robotic Cell), an expansion of its Bright Factory platform that lets human operators step inside a sensor-monitored robotic cell to perform prescribed assembly steps — without breaking the digital record that tracks every server from its first screw to its shipping label.It sounds like an incremental hardware update. It isn t. The Hybrid BRC is a direct answer to a structural weakness in high-stakes electronics manufacturing — one that CEO Sviat Dulianinov quantified in stark terms in an exclusive interview with VentureBeat. If you assemble modern AI servers starting with manual operations, your initial yield — first-pass yield — can be as low as 20%, Dulianinov said. Then you gradually ramp up and scale, and it can reach t
Fast Metals is treating waste with more waste to extract critical minerals
Aluminum production has saddled the world with billions of tons of caustic waste. One startup has a plan to clean it up and turn a profit.
Artists are lawyering up against AI slop, and some are even winning
Artists whose work has been co-opted by AI are taking to court. | Image: Alex Parkin / The Verge When The Atlantic published a searchable dataset of works used to train AI, Kirk Wallace Johnson, like a lot of artists, looked for his name out of curiosity. And, like a lot of artists, he found it. Essentially, his books, like The Feather Thief and The Fishermen and the Dragon - nonfiction tomes that he spent "five to six years researching, writing, and investigating" - had been pirated and fed to a chatbot. He says he felt a "cocktail" of emotions: "anger over the brazenness of the theft, worry over what this means for writers, and a healthy thirst for revenge on these massive corporations that have become galactically wealthy" using his … Read the full story at The Verge.
Avoiding Entity Key Drift in a Data Lake: Step 1, Normalization
This is the opening piece of a four-part deep dive series, on building a high-frequency streaming pipeline against a live public API. The data source is openSenseMap, a citizen-science IoT network used for climate research, mostly in Germany. A live public API is what makes it useful: it produces data-quality problems and edge cases that clean sample datasets never show. This article focuses on step-1: Normalization, later pieces cover matching algorithms, adaptive polling and noise filtering, and a vendor-agnostic Apache Iceberg pipeline with Terraform that runs locally in Docker and moves to AWS or GCP with minimal change. The post Avoiding Entity Key Drift in a Data Lake: Step 1, Normalization appeared first on Towards Data Science.
MediaTek Dimensity AX: The Brain Behind Smart Cars
MediaTek has long been known for the Dimensity chips inside Android phones.Continue reading on Medium »
Document-borne AI worms can self-propagate through Copilot for Word
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As AI content floods the internet, Pangram raises $9M to detect it
Pangram has raised $9 million to scale its AI detection software. The startup has also released a new AI text detection model, Pangram 4, and an AI image detection model in research preview.