Just weeks after launching its AI-powered trading assistant, BingX is proving it’s not just riding the AI hype wave—it’s shaping the future of how millions approach crypto trading. With the latest update to BingX AI, the exchange is offering more than automation; it’s delivering personalized, intelligent, real-time guidance that acts like a financial co-pilot.
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At Automatica 2025, Techman Robot isn't just celebrating its 10th anniversary—it’s staging a bold demonstration of how Physical AI is no longer futuristic theory but real-world manufacturing muscle.
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In the age of AI, your LinkedIn profile just got a serious upgrade. Appy Pie, the no-code app builder, has teamed up with Name.com, the domain registration heavyweight, to launch a free AI-powered tool that turns your LinkedIn profile or resume PDF into a full-fledged website—in minutes, no code necessary.
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Two years after hosting a lively debate on artificial intelligence’s (AI) potential, AMC Bridge is back with a timely follow-up: Has AI lived up to the promise—or are we still stuck in pilot purgatory?
As part of its executive series on emerging technologies, AMC Bridge is convening a virtual panel of industry leaders on June 26, 2025, to assess AI’s real impact on productivity in the engineering, manufacturing, and construction (AEC) sectors.
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As the boundary between artificial intelligence and blockchain tech continues to blur, Antier is planting its flag firmly at the intersection. The global blockchain development firm has announced the launch of its AI-powered, hyper-converged infrastructure—a bold move designed to redefine how developers build and scale Web3 gaming ecosystems.
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As healthcare systems struggle under the weight of administrative overload, VoiceCare AI has emerged from stealth with $4.54 million in seed funding and a bold goal: eliminate the time sink of back-office phone calls with AI-powered voice agents.
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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.
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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.
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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.
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