Digital Subscriber Line Access Multiplexers (DSLAMs) port shipments grew at a solid rate in 2004, but the rate of growth is expected to decline in coming years as the DSL market matures, reports In-Stat. The competition in the DSLAM market is fierce with many large global vendors and small vendors competing for contracts, a trend that will shrink average selling prices over the next several years, the high-tech market research firm says. "Worldwide DSLAM revenues will stay relatively flat, ranging from $3.1 - $3.3 billion over the next several years," says Henry Goldberg, In-Stat analyst. "The market will be highly competitive, with vendors increasing revenues only by taking market share away from other vendors." Alcatel had the leading market share in all regions, except the Asia-Pacific region, in 2004. Huawei had the second-leading worldwide market share, driven by their sales to the booming broadband market in China. IP DSLAMs are growing in popularity, and will become the dominant form of DSLAM in the future, replacing the older, ATM-based DSLAMs. DSLAM vendors also need to have a complete solution for support of triple-play services.
Embodied AI is shifting industrial robotics from precise to perceptive — from rigid automation to adaptive execution in messy, variable production environments. For manufacturers and logistics providers, this isn't just a technology upgrade; it's a structural change in how work gets organized and business value gets created. Industrial robots have long excelled in static workflows: automotive assembly, fixed production lines, repetitive tasks. Where variability or human interaction arose, they stalled or required prohibitive engineering. Embodied AI Market Development Embodied AI changes this by closing the "sim-to-real" gap. According to the latest worldwide market study by ABI Research, AI-augmented robots have reached genuine adaptive automation with tangible ROI for early adopters. The shift rests on robust algorithms — particularly Dynamic Policy Adjustment and robotics foundation models — that learn and adapt in real time rather than following hard-coded rules. ...