Teaching AI to read a map
Machine Perception
-
-
Google Introduces Jetpack Compose Glimmer: A New Spatial UI Framework Designed Specifically for the Next Generation of AI Glasses
Google is moving beyond the rectangular screen. For over 10 years, Google designers have explored how to build interfaces for transparent displays. The result is Jetpack Compose Glimmer, a design system built specifically for display AI glasses. For devs and data scientists, this is a shift from designing for pixels to designing with light. The…
-
Cohere Releases Tiny Aya: A 3B-Parameter Small Language Model that Supports 70 Languages and Runs Locally Even on a Phone
Cohere AI Labs has released Tiny Aya, a family of small language models (SLMs) that redefines multilingual performance. While many models scale by increasing parameters, Tiny Aya uses a 3.35B-parameter architecture to deliver state-of-the-art translation and generation across 70 languages. The release includes 5 models: Tiny Aya Base (pretrained), Tiny Aya Global (balanced instruction-tuned), and…
-
Anthropic Releases Claude 4.6 Sonnet with 1 Million Token Context to Solve Complex Coding and Search for Developers
Anthropic is officially entering its ‘Thinking’ era. Today, the company announced Claude 4.6 Sonnet, a model designed to transform how devs and data scientists handle complex logic. Alongside this release comes Improved Web Search with Dynamic Filtering, a feature that uses internal code execution to verify facts in real-time. https://www.anthropic.com/news/claude-sonnet-4-6 Adaptive Thinking: A New Logic…
-
MSP360 Brings Backup to AWS European Sovereign Cloud
As enforcement of EU regulations such as DORA and NIS2 intensifies and sovereign cloud requirements increasingly appear in public sector and enterprise RFPs, MSP360 (formerly CloudBerry Lab) today announced support for AWS European Sovereign Cloud (ESC) as a backup storage destination in MSP360 Backup PRO. The new option enables organizations to store backup data in an…
-
The Six Keys to Data Readiness to Prepare Your Business for AI
Stop failing at AI. Implement the six keys to data readiness to prepare your business for AI and transform your data into a strategic asset. Across every boardroom I walk into, businesses are being asked by leadership to “Do something with AI.” Executives are not only pushing for AI adoption but also asking their teams…
-
How to Build an Advanced, Interactive Exploratory Data Analysis Workflow Using PyGWalker and Feature-Engineered Data
In this tutorial, we demonstrate how to move beyond static, code-heavy charts and build a genuinely interactive exploratory data analysis workflow directly using PyGWalker. We start by preparing the Titanic dataset for large-scale interactive querying. These analysis-ready engineered features reveal the underlying structure of the data while enabling both detailed row-level exploration and high-level aggregated…
-
Upwind Leads in Modern Cloud Security Across Independent Market Signals
Independent analyst recognition, rapid enterprise growth, measurable customer outcomes and investor confidence reinforce Upwind’s position as a runtime-first cloud security leader Upwind, the runtime-first cloud security platform, today announced broad, independent validation of its leadership in the cloud security market. Consistent recognition across industry evaluations, enterprise customer adoption and investor confidence, underscores growing market consensus…
-
CrowdStrike Recognized for Cloud Security Leadership
Leadership across Cloud Workload Security and SaaS Security Posture Management establishes CrowdStrike as the standard for cloud runtime security CrowdStrike (NASDAQ: CRWD) today announced it has been named Frost & Sullivan’s 2026 Company of the Year for Cloud Workload Security (CWS) and the 2025 Company of the Year for Global SaaS Security Posture Management (SSPM) for the second consecutive time….
-
Data Annotation for Agricultural Robots: Enabling Autonomous Intelligence
However, beyond algorithms and hardware, the intelligence of robotics AI models depends on accurate, high-volume, deeply contextual, and multimodal annotated data. Data annotation for agricultural robots Data annotation is essential for training robotics AI for agriculture, enabling robots to accurately perceive crops, weeds, pests, and terrain using labeled sensor data. This process supports precision farming…
