Türkiye’s K2 Kamikaze Drone With 2,000 km Range and AI Swarm Could Overwhelm Air Defences — Baykar Signals New Era of Mass Autonomous Deep-Strike Warfare - Defence Security Asia
Türkiye’s K2 Kamikaze Drone With 2,000 km Range and AI Swarm Could Overwhelm Air Defences — Baykar Signals New Era of Mass Autonomous Deep-Strike Warfare Defence Security Asia
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Bring state-of-the-art agentic skills to the edge with Gemma 4
Google DeepMind has launched Gemma 4, a family of state-of-the-art open models designed to enable multi-step planning and autonomous agentic workflows directly on-device. The release includes the Google AI Edge Gallery for experimenting with "Agent Skills" and the LiteRT-LM library, which offers a significant speed boost and structured output for developers. Available under an Apache 2.0 license, Gemma 4 supports over 140 languages and is compatible with a wide range of hardware, including mobile devices, desktops, and IoT platforms like Raspberry Pi.
New AI testing method flags fairness risks in autonomous systems
Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping voltages stable.
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From RTX to Spark: NVIDIA Accelerates Gemma 4 for Local Agentic AI
Open models are driving a new wave of on-device AI, extending innovation beyond the cloud to everyday devices. As these models advance, their value increasingly depends on access to local, real-time context that can turn meaningful insights into action. Designed for this shift, Google’s latest additions to the Gemma 4 family introduce a class of small, fast and omni-capable models built for efficient local execution across a wide range [ ]
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