Databricks is investing more than US$350 million in Singapore as it expands its workforce, technical team, and regional AI operations.

The post Databricks Bets $350M on Singapore as It More Than Doubles Local Workforce appeared first on TechRepublic.

BOOX Palma 3 adds active stylus support and Android 16, but keeps the Palma 2’s core display. Here’s what the upgrade really gets you.

The post BOOX Palma 3 vs Palma 2: Is the Stylus Worth It? appeared first on TechRepublic.

Building autonomous AI agents that mutate production state requires moving beyond soft system prompts to a robust zero-trust architecture. To secure Google Agent Development Kit (ADK) workflows against prompt injections and malicious execution, developers must implement hardware-backed cryptographic signatures for database writes, kernel-level sandboxing with gVisor for dynamic code, and deterministic semantic gateways for I/O validation. By enforcing these hard security boundaries at the infrastructure level, you can safely deploy multi-tool AI agents without risking unauthorized data manipulation or server compromise.

HeyGen ported their 18B+ parameter Avatar IV video generation model to Google Cloud's Trillium (v6e) TPUs via torchax and XLA, utilizing FSDP and Ulysses sequence parallelism across an eight-chip mesh. To achieve a 1.86x speedup for real-time streaming, the engineering team pipelined exposed all-to-all collectives, aligned sparse attention block sizes to eliminate mask padding, and bypassed softmax serial dependencies using a precomputed Cauchy-Schwarz upper bound. These custom Pallas kernel and compiler optimizations were deployed only after passing rigorous two-tier quality gates to guarantee byte-identical or mathematically equivalent pixel outputs.

Credentio is a newly released, open-source C++ library from Google that allows developers to integrate high-performance, local-first validation of C2PA Content Credentials into their client and server applications. By processing assets entirely locally with a highly optimized memory footprint, the library delivers instant validation verdicts for multi-gigabyte media files without incurring cloud latency, bandwidth costs, or data privacy risks. The library currently features deep manifest parsing alongside configurable trust list integration, and is available now on Google Source with future plans to support full credential generation and embedding.

As AI coding assistants shift the developer's primary role from writing boilerplate to reviewing and maintaining systems, language choice becomes critical for long-term architectural integrity. Go directly addresses this new paradigm by utilizing its strict compiler, integrated toolchain, and uncompromising readability to provide deterministic guardrails that help AI models self-correct and generate highly standardized code. By enforcing ecosystem-wide consistency and strict backward compatibility, the Go platform empowers engineering teams to efficiently verify, optimize, and maintain high-velocity, AI-generated output in production environments.

Deploying secure, real-time Edge AI on Raspberry Pi is now simplified using LiteRT and lightweight Gemma open models. LiteRT optimizes CPU and GPU performance, delivering fast token speeds for models like Gemma4, enabling real-time local reasoning for robotics. Developers can quickly convert, quantize, and run these models using the lightweight LiteRT CLI tool. Support for Hailo AI accelerators is also coming very soon.

Google Cloud has natively integrated TPU support into the vLLM serving engine, allowing developers to elastically scale high-demand embedding pipelines using Google Kubernetes Engine (GKE). To handle massive 15K+ token contexts for models like Qwen3-Embedding-8B, the engineering team implemented TPU-specific optimizations such as hardware-safe tensor alignment, JAX/XLA compilation pre-warming, and a hybrid StepPool architecture for chunked prefill management. These enhancements achieve near-perfect numerical parity with reference GPU baselines, and developers can immediately leverage the open-sourced setup recipes on the AI-Hypercomputer GitHub to build their own high-throughput semantic retrieval applications.

The results from the 2026 Django Developers Survey are now available. This is the fifth annual report conducted from May to July 2026 by the Django Software Foundation in collaboration with JetBrains PyCharm.

The full report includes infographics, quotes, and dedicated sections so you can easily navigate the results. There is also a The State of Django 2026: Boring is so back blog post highlighting key Django trends in 2026 and actionable ideas for your own Django development.

The Django Chat podcast also covers the survey in a special summer episode, from Django 6.1 and HTMX to async, AI, deployment, testing, and Python tooling.

We are back with our friends at JetBrains for the second of the two "Buy PyCharm, Support Django" fundraisers we run together each year. Our spring campaign was the first. It remains one of the most impactful ways the community can support the Django Software Foundation.

Your support of this campaign helps fund key initiatives such as:

• A Django Executive Director: Funding our first Executive Director, who will lead fundraising, operations, and community coordination for the Foundation.
• Django Fellows: Ensuring the rapid development and maintenance of Django.
• Django Girls: Making the Django community accessible to programming beginners around the world.
• International events and conferences: Supporting DjangoCons, one-day events, meetups, and other community gatherings around the world.
• Djangonaut Space: Onboarding new contributors to the Django project.

The Executive Director role is new, which is why this campaign matters more than usual. The DSF raises around $300,000 a year today. Reaching $500,000 is what makes a full-time Executive Director sustainable, and campaigns like this one are how we close that gap. If leading that work sounds like you, applications are open until September 14, 2026.

How the campaign works

The campaign runs until September 10, 2026. When you buy a new PyCharm license or renew an existing one at a 30% discount through our special campaign link, JetBrains will donate an equal amount to the Django Software Foundation. You get a professional IDE that is trusted by Django developers worldwide, and the DSF receives a matched contribution.

Get 30% off PyCharm, Support Django

Thank you, JetBrains

Beyond this campaign, JetBrains contributes to the Django ecosystem in ways that are easy to overlook but hard to overstate. The 2026 Django Developers Survey was published earlier this summer, and along with the Python Developers Survey, it gives the entire community a clearer picture of where Django and Python are heading each year.

"JetBrains is one of our most generous fundraising partners year after year, helping us sustain and grow the Django ecosystem. We deeply appreciate their commitment, leadership, and collaboration."

Jeff Triplett, President, Django Software Foundation

Thank you to JetBrains for another year of partnership, and thank you to everyone who participates in this campaign. Together, we can ensure the continued success and growth of the framework we all rely on.

Other ways to donate

If you would like to donate in another way, especially if you are already a PyCharm customer, here are other ways to donate to the DSF:

• On our website via credit card
• Via GitHub Sponsors
• Benevity Workplace Giving Program - If your employer participates, you can make donations to the DSF via payroll deduction.
• For those able to make a larger donation as corporate sponsors ($2000+), check out our corporate sponsors form