data engineers

Google is mounting a legal challenge against European Union regulatory orders that would force it to give AI companies and rival search engines greater access to its services and data. The dispute is the latest clash between Big Tech and Brussels over competition rules, with regulators arguing open access is needed to level the playing field for emerging AI and search competitors.

Second-quarter US sales figures show electric vehicle market share increasing in 47 states, while sales of internal combustion engine vehicles declined. The data points to a broad-based shift toward electric cars rather than growth confined to a few coastal markets. Industry watchers are weighing what the trend means for dealers, charging infrastructure and automakers' production plans for the rest of the year.

Google has announced Project Suncatcher, an initiative to test its AI chips in space for the first time. The plan points to putting data-processing hardware aboard satellites, a step that could eventually move parts of AI computing off Earth. The announcement is drawing attention across the tech and semiconductor world, with observers weighing the engineering challenges of running chips in orbit and what it could mean for the future of data centers.

Data centres running AI hardware are increasingly adopting near-total liquid cooling for high-density racks, as traditional air cooling can no longer handle the heat output of modern accelerators. Engineers and industry observers are discussing how direct liquid cooling is becoming the default design choice for new AI infrastructure deployments.

Adtech company 33Across has rebranded as WealthStage, shifting to an advertising platform aimed at banks, trading apps, lenders, brokers and insurers. The platform uses an AI engine to score household wealth, positioning itself for an estimated $124 trillion in wealth changing hands by 2048. Industry observers are questioning which data sources feed the system and what parts of the 33Across business remain.

Boris Cherny, an engineer at AI company Anthropic, is advising developers to build on general-purpose AI models rather than investing in fine-tuning. His argument is that frontier models improve so quickly that customized versions trained on specific data risk being outpaced. The advice is drawing attention from developers weighing whether to fine-tune existing models or rely on prompt engineering and general capabilities.

Romanian engineering company Dai-Tech expects solar power, energy storage and data centre projects to account for more than 65% of its turnover by 2027, the company said in an interview with SeeNews. The outlook points to a strategic shift toward energy infrastructure serving growing power demand, including from data hubs.

Researchers filmed bumblebees landing on an artificial flower sliding sideways twice a second, capturing 48 landings with three high-speed cameras and rebuilding them in three dimensions. The bees banked to match the platform's motion, slightly lagging behind it, and the resulting data fed into models of how bees control landings while in flight.

The Polars project has released version 2.0 of its fast DataFrame library. Polars is a popular open-source alternative to pandas for data manipulation in Python and Rust, and the 2.0 milestone marks a major version bump. The release is drawing attention among developers following the project's official announcement.

A technical essay by Ian Cook on the Columnar Tech blog asks what would change if the Java Virtual Machine could natively work with Apache Arrow, the in-memory columnar data format. The piece explores how direct Arrow support in the JVM could remove costly data copies and serialization between Java systems and analytics tools, a topic drawing attention among data engineering practitioners.

Gasoline-only cars have fallen below 50% of global new car sales for the first time, according to auto data firm Mobility Global. Its first-half figures show sales of gasoline-only cars down 10% from a year ago, at 20.25 million units between January and June, with their share of the global market dropping under half for the first time, reflecting the steady shift toward electrified vehicles.

In 1963 IBM chief executive Thomas Watson Jr. wrote an internal memo after Control Data Corporation's CDC 6600, designed by Seymour Cray, took the title of world's fastest computer from IBM. In the memo he famously asked how a company of 34 people including the janitor could out-engineer IBM's vast resources, and demanded answers about why IBM had lost its supercomputing lead.

A new article on the Database Architects blog examines safe optimistic lock coupling, a concurrency control technique used in database systems to synchronize access to shared data structures with minimal overhead. It walks through correctness concerns around optimistic latch acquisition and offers safer implementation patterns. Database and systems engineers are engaging with the technical details of making optimistic locking reliable.

Google's Project Suncatcher has put its first satellite into orbit carrying four TPU chips as an early test of computing in space. The prototype runs its TPUs for about 15 minutes at a time before needing to cool down, because a spacecraft has no air or water for cooling and must shed heat by radiation alone. Engineers point to this as a key constraint for future orbital data centers, which supporters hope could one day run at scale using solar power in orbit.

A commentary tagged 'GodsEyeView' argues that layered tools like Google Earth's layers and overlays are more useful than slogans for understanding war, geopolitics and surveillance. The post says these mapping resources have long been valuable to researchers and engineers trying to interpret satellite imagery and geospatial data, and suggests this approach offers deeper insight than headline-level framing of conflicts.

Capcom has released RE:Dox, an open-source serialization and deserialization library for game engines, published on GitHub under its open-source organization. The project is being discussed on developer forums, where early reactions are limited but curious, with programmers weighing in on what the tool could mean for engine tooling and data pipelines. It marks another step in Capcom sharing internal game technology publicly.

Google is moving to build data centers in space as part of its Project Suncatcher, aiming to power artificial intelligence with solar energy collected beyond Earth. The announcement places Google in direct competition with other tech giants racing to secure computing capacity, and analysts are weighing the engineering, cost and environmental challenges of running AI infrastructure in orbit.

Android developers are debating a common Jetpack Compose pitfall: a Kotlin data class marked @Stable passed into a composable can still trigger unexpected recomposition, with the argument that the annotation itself is not the real source of the leak. The discussion, tagged under android, Kotlin and Jetpack Compose, is aimed at engineers debugging performance issues in Compose UIs.

New research reports that neural networks can be trained to follow the laws of physics even when no explicit equations are provided, learning physical constraints directly from data. The approach could make AI models more reliable in scientific and engineering applications, and is drawing attention for bridging machine learning and physics-based modelling.

A software engineer writing about payments infrastructure describes a payout batch that passed schema validation yet still ended up with 23 payment holds. The example uses deliberately invented payees, amounts and references, making clear it is a composite demonstration rather than real transactions. The point being made is that clean, standards-compliant data does not guarantee clean payments, since business rules and risk checks flag items that validation never catches.

Data engineering company Innodata has opened a new lab focused on robot training data, drawing attention from investors assessing what the move means for the firm's growth strategy. The company, known for AI data services, is positioning itself in the emerging market for data used to train robotics systems. Market watchers are weighing whether the lab can translate into revenue and how it might affect the stock's performance going forward.

Power unit figures for the Sepang circuit have been published, breaking down engine performance data for the track. The numbers give an indication of how teams set up their units for the Malaysian venue, and fans of the sport are sharing and comparing the details.

Data engineers are discussing why Yelp scrapers often return incomplete datasets without throwing any errors, a problem that can silently corrupt downstream analysis. The conversation highlights a common frustration with tools that promise straightforward data extraction but fail quietly, prompting developers to share debugging approaches and caution about relying on scraping outputs without validation.

A session at the Databricks Financial Services Community Day in Hong Kong tackled reliability engineering for cross-border liquidity agents operating across fragmented Asian markets. The talk focused on how financial institutions can design resilient data and system architectures when liquidity automation must function across differing regulatory regimes, clearing systems and market infrastructures in the region. The discussion drew attention from banking, fintech and data engineering audiences interested in dependable automation for Asian treasury and settlement operations.

The UK construction industry contracted at its slowest pace in eight months, according to the latest purchasing managers' index data. The figures suggest conditions in the sector are stabilising after a prolonged downturn, offering a modest sign of improvement for housebuilders, commercial developers and civil engineering firms facing weak demand and high costs.

A developer is documenting a project that builds an AI-powered financial research agent, able to read company SEC filings and check share prices as part of a 30-day coding challenge. The write-up covers combining market data with an API-based agent, and it is being shared within open-source and software engineering communities tied to Hacktoberfest.

Startup CScale is arguing that AI data centers at gigawatt scale can keep operating even when optical lasers fail, a claim about resilience in the interconnects linking massive AI computing fleets. The bet targets one of the practical engineering worries facing companies building enormous AI factories, where component failures multiply as campuses grow. Details on funding, partners or deployments remain unclear.