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Doosan Robotics to Debut Advanced AI Robot Solutions at Automatica 2025

Doosan Robotics to Debut Advanced AI Robot Solutions at Automatica 2025

Doosan Robotics is gearing up to make a major statement at Automatica 2025, Europe’s premier automation trade fair kicking off June 24 in Munich. The South Korean robotics innovator will showcase a slate of next-generation, AI-powered solutions in a two-part exhibition designed to bridge futuristic concepts with factory-floor reality.

Read More: Doosan Robotics to Debut Advanced AI Robot Solutions at Automatica 2025
EMB Global Is Dismantling the Outsourcing Playbook with AI-Driven Delivery

EMB Global Is Dismantling the Outsourcing Playbook with AI-Driven Delivery

As global IT spending barrels toward a projected $5.74 trillion in 2025, one thing oddly remains stuck in time: traditional outsourcing. Despite a decade of AI breakthroughs and transformation talk, much of the IT services industry still leans heavily on headcount-based models built for a slower, less agile world.

Read More: EMB Global Is Dismantling the Outsourcing Playbook with AI-Driven Delivery
CHAI Slashes Inference Latency by 56% with Quantized LLM Breakthrough—Now Serving 1.2T Tokens Daily

CHAI Slashes Inference Latency by 56% with Quantized LLM Breakthrough—Now Serving 1.2T Tokens Daily

In a world where milliseconds matter, CHAI just clocked a major win in the race to optimize large language models (LLMs). The fast-growing AI startup announced it has successfully deployed quantized LLMs, cutting inference latency by 56%—a significant achievement as its platform now handles 1.2 trillion tokens daily, putting it in the same league as Anthropic’s Claude.

Read More: CHAI Slashes Inference Latency by 56% with Quantized LLM Breakthrough—Now Serving 1.2T Tokens Daily
AI Adoption Surges in Life Sciences—But Scientists Warn of Gaps in Trust and Training

AI Adoption Surges in Life Sciences—But Scientists Warn of Gaps in Trust and Training

New global survey data from BioInformatics’ Beyond the Bench series reveals that 87% of scientists and researchers are now using AI for work-related research tasks, up from 75% in 2023. But this dramatic rise in adoption is being tempered by a wave of caution: issues around data fidelity, trust, training, and real-world usability are becoming impossible to ignore.

Read More: AI Adoption Surges in Life Sciences—But Scientists Warn of Gaps in Trust and Training

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