Intel and IBM Announce the Availability of Intel Gaudi 3 AI Accelerators on IBM Cloud - IBM Newsroom
<a href="https://news.google.com/rss/articles/CBMitgFBVV95cUxNRXVwczlkbFlGVmFkeGw3SGJkdEUydjB6M3kwNE5MZTZGWEdEVG03OGRmcW9DcjlNTjVyb2hzeWhmeFdVaHU4NU9ycWpseFhxYm5DaHowU1JJVTdSVHJHbl9GdG1paHhmNjJCR3U2WkJDWGtINWdTNUl5S0R2ZTRZQWQyVDlSVEw5c2tCaHpLZF94WllCVk9uM3NvT2ItWlB2TkZsaWhlMV8yM0t1bTZhMFFSUUQ1Zw?oc=5" target="_blank">Intel and IBM Announce the Availability of Intel Gaudi 3 AI Accelerators on IBM Cloud</a> <font color="#6f6f6f">IBM Newsroom</font>
Could not retrieve the full article text.
Read on Google News - Intel AI Gaudi →Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
announce
60% of Consumers Want Approval Gates for AI Spending. Who Builds Them?
Visa just published a study of 2,000 consumers on AI agents and spending. The finding that should dominate every conversation about agentic commerce: 60% of respondents want human approval gates before an AI agent makes purchases on their behalf. Only 27% are comfortable with unlimited AI spending authority. Thirty-six percent say they would trust an AI agent backed by their bank. Twenty-eight percent would trust an independent agent. The paper's own summary: "Trust is the adoption switch." This is empirical confirmation of something that was structurally obvious. The infrastructure to move money is almost ready. The infrastructure to decide whether money should move does not exist. The asymmetry Two days ago, the x402 Foundation launched under the Linux Foundation. Twenty-two founding mem

Preferential Bayesian Optimization with Crash Feedback
arXiv:2604.01776v1 Announce Type: new Abstract: Bayesian optimization is a popular black-box optimization method for parameter learning in control and robotics. It typically requires an objective function that reflects the user's optimization goal. However, in practical applications, this objective function is often inaccessible due to complex or unmeasurable performance metrics. Preferential Bayesian optimization (PBO) overcomes this limitation by leveraging human feedback through pairwise comparisons, eliminating the need for explicit performance quantification. When applying PBO to hardware systems, such as in quadcopter control, crashes can cause time-consuming experimental resets, wear and tear, or otherwise undesired outcomes. Standard PBO methods cannot incorporate feedback from suc

Realistic Lip Motion Generation Based on 3D Dynamic Viseme and Coarticulation Modeling for Human-Robot Interaction
arXiv:2604.01756v1 Announce Type: new Abstract: Realistic lip synchronization is essential for the natural human-robot non-verbal interaction of humanoid robots. Motivated by this need, this paper presents a lip motion generation framework based on 3D dynamic viseme and coarticulation modeling. By analyzing Chinese pronunciation theory, a 3D dynamic viseme library is constructed based on the ARKit standard, which offers coherent prior trajectories of lips. To resolve motion conflicts within continuous speech streams, a coarticulation mechanism is developed by incorporating initial-final (Shengmu-Yunmu) decoupling and energy modulation. After developing a strategy to retarget high-dimensional spatial lip motion to a 14-DOF lip actuation system of a humanoid head platform, the efficiency and
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Releases

I just shipped my first major update to a Chrome extension. Here's what I changed and why.
Building in public means being honest about mistakes. Here's one I made with Prompt Helix and how I fixed it in v1.0.2. Prompt Helix is a Chrome extension that extracts webpage content and sends it directly to your chosen AI. No copy-pasting. No tab switching. Click, ask, get an answer in context. I launched it in February and have been iterating since. The mistake I made with the free tier. When I launched I gave away too much for free. OpenAI and Claude completely free with no daily caps. It felt generous and user-friendly. In reality it meant there was no reason to ever create an account or pay. Someone could install it and use it every day forever without seeing a single upgrade prompt. Classic freemium mistake. I only realised this when I looked at my Clerk dashboard and saw 60 instal

Linear Space Streaming Lower Bounds for Approximating CSPs
arXiv:2106.13078v4 Announce Type: replace-cross Abstract: We consider the approximability of constraint satisfaction problems in the streaming setting. For every constraint satisfaction problem (CSP) on $n$ variables taking values in $\{0,\ldots,q-1\}$, we prove that improving over the trivial approximability by a factor of $q$ requires $\Omega(n)$ space even on instances with $O(n)$ constraints. We also identify a broad subclass of problems for which any improvement over the trivial approximability requires $\Omega(n)$ space. The key technical core is an optimal, $q^{-(k-1)}$-inapproximability for the Max $k$-LIN-$\bmod\; q$ problem, which is the Max CSP problem where every constraint is given by a system of $k-1$ linear equations $\bmod\; q$ over $k$ variables. Our work builds on and ext

Faraday Future Announces Its Latest Robot, the FX Aegis Quadruped, has Completed Its Full Compliance Certification in the United States - StreetInsider
Faraday Future Announces Its Latest Robot, the FX Aegis Quadruped, has Completed Its Full Compliance Certification in the United States StreetInsider



Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!