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4 Best Alexa Speakers (2026): Echo Dot Max, Echo Dot, Echo Show 11
The Best Alexa Speakers Featured in this article Amazon started the smart speaker game, but finding the best Alexa speaker has only gotten harder as the company launches more and more devices. Amazon has the largest range of smart speakers and displays by a long shot, which can be overwhelming to dive into. The most recent were launched late last year: the Echo Dot Max, the Echo Studio (2nd Gen), the Echo Show 11, and the Echo Show 8 (4th Gen).
Pope Leo calls AI firms a new form of colonialism, echoing tech critics
Technology Pope Leo calls AI firms a new form of colonialism, echoing tech critics June 9, 20264:45 AM ET Heard on Morning Edition Steve Inskeep Pope Leo calls AI firms a new form of colonialism, echoing tech critics Listen · 4:53 4:53 Toggle more options Download Embed Embed NPR's Steve Inskeep speaks with tech journalist Karen Hao about the Pope's recent warnings that AI companies represent a new form of colonialism. Facebook Flipboard Email Pope Leo calls AI firms a new form of...
Pope Leo calls AI firms a new form of colonialism, echoing tech critics
Pope Leo calls AI firms a new form of colonialism, echoing tech critics Pope Leo calls AI firms a new form of colonialism, echoing tech critics Audio will be available later today. NPR's Steve Inskeep speaks with tech journalist Karen Hao {HOW} about the Pope's recent warnings that AI companies represent a new form of colonialism.
Echo-Infinity: Learning Evolving Memory for Real-Time Infinite Video Generation
Announce Type: new Abstract: We present Echo Infinity, an autoregressive (AR) framework towards real-time infinite video generation that employs a learnable evolving memory to dynamically filter, abstract, and compress any-length history at constant cost. Existing methods mainly curate memory with predefined KV-cache schedules, fixed-ratio heuristic compression, or inference-time RoPE adaptation. These designs inevitably lose historical information and amplify compounding errors due to their...
Segregation Before Polarization: How Recommendation Strategies Shape Echo Chamber Pathways
arXiv:2601.16457v2 Announce Type: replace-cross Abstract: Social media platforms facilitate echo chambers through feedback loops between user preferences and recommendation algorithms. While algorithmic homogeneity is well-documented, the distinct evolutionary pathways driven by content-based versus link-based recommendations remain unclear. Using an extended dynamic Bounded Confidence Model (BCM), we show that content-based algorithms -- unlike their link-based counterparts -- steer social...
Segregation Before Polarization: How Recommendation Strategies Shape Echo Chamber Pathways
arXiv:2601.16457v2 Announce Type: replace Abstract: Social media platforms facilitate echo chambers through feedback loops between user preferences and recommendation algorithms. While algorithmic homogeneity is well-documented, the distinct evolutionary pathways driven by content-based versus link-based recommendations remain unclear. Using an extended dynamic Bounded Confidence Model (BCM), we show that content-based algorithms -- unlike their link-based counterparts -- steer social...
Echo: A Joint-Embedding Predictive Architecture for Speaker Diarization and Speech Recognition in a Shared Latent Space
Announce Type: new Abstract: We present Echo, a proof-of-concept audio system built around a single 25 M-parameter ViT encoder. The encoder is pretrained with a JEPA objective and then specialised by stages to carry speaker identity, phonetic content, and dynamic source routing in the same 512-dimensional latent space, with no per-task fine-tuning at deployment. Light heads handle diarization (ArcFace + VBx) and dynamic source separation (null-target K-set prediction).
Echo-POSED: Geometric Self-Distillation for Echocardiography Guidance
arXiv:2606.02634v1 Announce Type: cross Abstract: We introduce Echo-POSED, a self-supervised framework for real-time transthoracic echocardiography (TTE) guidance that recommends probe adjustments directly from 2D ultrasound images, without the need for expert-labelled views or tracked probe trajectories. Instead, it trains on 2D views sliced from routinely acquired 3D echocardiography volumes, enforcing equivariance to probe motions while remaining invariant to cardiac phase, yielding a...
Echo-Memory: A Controlled Study of Memory in Action World Models
arXiv:2606.09803v1 Announce Type: new Abstract: We present \textbf{Echo-Memory}, a controlled study of memory mechanisms in action-conditioned world models. These models generate multi-segment videos from a first frame, text prompt, and camera-action sequence, but their central failure is often memory rather than local image synthesis: after the camera leaves and returns, the scene or salient object may silently change. Existing memory designs are hard to compare because gains are entangled...
Connected boards echo climate rules, yet many firms move pollution instead
Connected boards echo climate rules, yet many firms move pollution instead Lisa Lock Scientific Editor Andrew Zinin Lead Editor The good news: When environmental rules pressure one company, the effect can spread through shared boardroom ties, leading connected firms to reduce emissions, too. The bad news: The positive impact on the climate is limited, as these firms often shift polluting activities elsewhere, research from Radboud University and Stockholm University shows.