MAROKO133 Eksklusif ai: New autonomous strike drone completes trials with 1,000-mile range

📌 MAROKO133 Hot ai: New autonomous strike drone completes trials with 1,000-mile r

Swiss-American uncrewed vehicle software company Auterion has completed the U.S. Defense Innovation Unit’s Artemis program, unveiling a long-range deep strike drone capable of flying up to 1,000 miles. 

The system has been tested in Ukraine and is designed for high-precision operations even when GPS signals are unavailable. The drone uses advanced visual targeting to locate and engage targets accurately.

The Artemis drone is designed similarly to the Shahed and was developed in Ukraine. Production lines are now being established in the U.S., Ukraine, and Germany to support large-scale manufacturing. 

The drone can carry warheads weighing up to 88 pounds (40 kilograms) and uses Auterion’s Skynode N mission computer and Visual Navigation system for precise navigation and targeting. A built-in terminal guidance system ensures pinpoint accuracy during the final flight phase.

Operational tests in Ukraine confirm effectiveness

Government evaluators cleared the Artemis program following multiple operational flight tests in Ukraine. The trials covered ground launches, long-distance flights, terminal targeting, and navigation both with and without GPS.

The success of these trials confirmed the system’s readiness for deployment and provided valuable insights for scaling production.

Auterion partnered with a confidential Ukrainian hardware manufacturer to develop the drone and has teamed up with U.S. and European firms to support mass production. These collaborations aim to bring battlefield-tested capabilities from Ukraine to allied nations and the U.S. Department of War.

“Software-driven autonomy is changing the nature of deterrence,” stated Lorenz Meier, CEO of Auterion.

“Our Artemis entrant is designed for mass production and rapid deployment, enabling partner nations to field resilient autonomous strike capabilities at scale. We are ready to build the long-range deterrence force needed to tackle new challenges, especially in the Indo‑Pacific.”

Part of a growing portfolio of autonomous drones

The Artemis drone is one of several one-way attack drones in Auterion’s portfolio developed under U.S. defense initiatives. The system relies on open architecture and battle-tested software, allowing it to adapt quickly and integrate seamlessly with allied defense networks.

The program builds on Auterion’s proven experience supplying AI-enabled strike kits to Ukraine and demonstrates the growing role of software-driven autonomy in modern warfare.

With production underway in the U.S., Ukraine, and Germany, Auterion aims to scale up deployment for allied forces. The company emphasizes that the platform is not a “black box” and is designed to evolve with continuous updates and co-production efforts.

Scaling up for mass production and allied support

Following the completion of the Artemis program, Auterion is entering a scale-up phase with the U.S. Department of War and allied partners. The company plans to co-produce drones at a mass scale while ensuring interoperability through a common software layer.

“This isn’t a black box. It’s a scalable platform that our partners can build and evolve,” Meier added.

Auterion’s focus on software-driven autonomy and mass production readiness positions the Artemis drone as a significant addition to long-range deterrence strategies.

🔗 Sumber: interestingengineering.com

📌 MAROKO133 Eksklusif ai: How Anthropic’s ‘Skills’ make Claude faster, cheaper, an

Anthropic launched a new capability on Thursday that allows its Claude AI assistant to tap into specialized expertise on demand, marking the company's latest effort to make artificial intelligence more practical for enterprise workflows as it chases rival OpenAI in the intensifying competition over AI-powered software development.

The feature, called Skills, enables users to create folders containing instructions, code scripts, and reference materials that Claude can automatically load when relevant to a task. The system marks a fundamental shift in how organizations can customize AI assistants, moving beyond one-off prompts to reusable packages of domain expertise that work consistently across an entire company.

"Skills are based on our belief and vision that as model intelligence continues to improve, we'll continue moving towards general-purpose agents that often have access to their own filesystem and computing environment," said Mahesh Murag, a member of Anthropic's technical staff, in an exclusive interview with VentureBeat. "The agent is initially made aware only of the names and descriptions of each available skill and can choose to load more information about a particular skill when relevant to the task at hand."

The launch comes as Anthropic, valued at $183 billion after a recent $13 billion funding round, projects its annual revenue could nearly triple to as much as $26 billion in 2026, according to a recent Reuters report. The company is currently approaching a $7 billion annual revenue run rate, up from $5 billion in August, fueled largely by enterprise adoption of its AI coding tools — a market where it faces fierce competition from OpenAI's recently upgraded Codex platform.

How 'progressive disclosure' solves the context window problem

Skills differ fundamentally from existing approaches to customizing AI assistants, such as prompt engineering or retrieval-augmented generation (RAG), Murag explained. The architecture relies on what Anthropic calls "progressive disclosure" — Claude initially sees only skill names and brief descriptions, then autonomously decides which skills to load based on the task at hand, accessing only the specific files and information needed at that moment.

"Unlike RAG, this relies on simple tools that let Claude manage and read files from a filesystem," Murag told VentureBeat. "Skills can contain an unbounded amount of context to teach Claude how to complete a task or series of tasks. This is because Skills are based on the premise of an agent being able to autonomously and intelligently navigate a filesystem and execute code."

This approach allows organizations to bundle far more information than traditional context windows permit, while maintaining the speed and efficiency that enterprise users demand. A single skill can include step-by-step procedures, code templates, reference documents, brand guidelines, compliance checklists, and executable scripts — all organized in a folder structure that Claude navigates intelligently.

The system's composability provides another technical advantage. Multiple skills automatically stack together when needed for complex workflows. For instance, Claude might simultaneously invoke a company's brand guidelines skill, a financial reporting skill, and a presentation formatting skill to generate a quarterly investor deck — coordinating between all three without manual intervention.

What makes Skills different from OpenAI's Custom GPTs and Microsoft's Copilot

Anthropic is positioning Skills as distinct from competing offerings like OpenAI's Custom GPTs and Microsoft's Copilot Studio, though the features address similar enterprise needs around AI customization and consistency.

"Skills' combination of progressive disclosure, composability, and executable code bundling is unique in the market," Murag said. "While other platforms require developers to build custom scaffolding, Skills let anyone — technical or not — create specialized agents by organizing procedural knowledge into files."

The cross-platform portability also sets Skills apart. The same skill works identically across Claude.ai, Claude Code (Anthropic's AI coding environment), the company's API, and the Claude Agent SDK for building custom AI agents. Organizations can develop a skill once and deploy it everywhere their teams use Claude, a significant advantage for enterprises seeking consistency.

The feature supports any programming language compatible with the underlying container environment, and Anthropic provides sandboxing for security — though the company acknowledges that allowing AI to execute code requires users to carefully vet which skills they trust.

Early customers report 8x productivity gains on finance workflows

Early customer implementations reveal how organizations are applying Skills to automate complex knowledge work. At Japanese e-commerce giant Rakuten, the AI team is using Skills to transform finance operations that previously required manual coordination across multiple departments.

"Skills streamline our management accounting and finance workflows," said Yusuke Kaji, general manager of AI at Rakuten in a statement. "Claude processes multiple spreadsheets, catches critical anomalies, and generates reports using our procedures. What once took a day, we can now accomplish in an hour."

That's an 8x improvement in productivity for specific workflows — the kind of measurable return on investment that enterprises increasingly demand from AI implementations. Mike Krieger, Anthropic's chief product officer and Instagram co-founder, recently noted that companies have moved past "AI FOMO" to requiring concrete success metrics.

Design platform Canva plans to integrate Skills into its own AI agent workflows. "Canva plans to leverage Skills to customize agents and expand what they can do," said Anwar Haneef, general manager and head of ecosystem at Canva in a statement. "This unlocks new ways to bring Canva deeper into agentic workflows—helping teams capture their unique context and create stunning, high-quality designs effortlessly."

Cloud storage provider Box sees Skills as a way to make corporate content repositories more actionable. "Skills teaches Claude how to work with Box content," said Yashodha Bhavnani, head of AI at Box. "Users can transform stored files into PowerPoint presentations, Excel spreadsheets, and Word documents that follow their organization's standards—saving hours of effort."

The enterprise se…

Konten dipersingkat otomatis.

🔗 Sumber: venturebeat.com

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