Cartesia has released Sonic-3.6, a streaming text-to-speech model built on state space models rather than transformers. It now ranks #1 on both Artificial Analysis speech leaderboards — 1,283 Elo on Provider Voice and 1,123 on Controlled Voice, the board that clones every model onto the same eight reference voices to isolate the synthesis engine. Cartesia states sub-90ms time-to-first-audio. The model is available in beta on Cartesia's own API The post Cartesia Ships Sonic-3.6: A Streaming TTS Model That Now Leads Both Artificial Analysis Speech Arenas appeared first on MarkTechPost.

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内测邀请 诚邀您加入 PromptQuorum 桌面应用现已开放公开测试，今天就能安装——无需等待。将同一条提示词发送给多个 AI 模型并比较回答，支持 macOS、Windows 和 Linux。 下载测试版查看安装指南与详情 ← 返回首页

Ever wondered how ChatGPT, Gemini, and other chat interfaces generate PDFs, PowerPoints, and more when all they have under the hood is an LLM? The trick isn’t a smarter model. It’s something simpler: skills which are instructions an agent loads only when needed. Next, let’s explore how skills work using LangChain and how they can make […] The post How to Add Skills in Agents using LangChain appeared first on Analytics Vidhya.

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There are many tech irritants that are a scourge of modern life, yet we have lacked the vocabulary to describe them ... until now The “dickover” is the scourge of the modern age. Coined in May by John Gruber, a tech writer, it is defined as “a modal panel, popover, or curtain presented by a website or app, deliberately obscuring its own content to frustrate the user”. Essentially, it is the thing (or more often, things) you have to click away in order to read the thing you wanted to read. It is the “accept cookies” box, the “allow notifications?” box, the “sign in with Google” box, the pop-up video box, etc. We shouldn’t fool ourselves into thinking that dickovers are the only terrible thing about technology in 2026. Until now, though, we have lacked the vocabulary to describe them, so he…

The AirPods in the video look like a chunkier version of Apple’s AirPods Pro 3. | Image: Apple / MacRumors We may have our first glimpse of Apple's rumored camera-equipped AirPods, thanks to a video that MacRumors found in the macOS Tahoe 26.7 Release Candidate. The short video clip features a man - who is wearing the new AirPods - holding up a book with the cover displayed, so that Visual Intelligence can see the book title. A Siri voice-over plays over the clip, saying "with Visual Intelligence, your world becomes savable. See something you like? Just ask me to save it for later." Bloomberg's Mark Gurman has previously reported that the rumored AirPods with cameras are designed to take in "visual information in low resolution" and act as eyes … Read the full story at The Verge.

A newly developed artificial intelligence platform is uncovering previously unseen microscopic patterns within breast cancer tumours, allowing medical professionals to better forecast the progression of the condition. T…

Aug 18, 2026 – 9.00am The way Satya Nadella tells it, Sam Altman had a killer pitch when first discussing an OpenAI-Microsoft partnership: “knowledge is the log of compute.” In other words, human knowledge – about anyth…

The End-State Fallacy:Where Is AI Security Headed? Dan Lahav — SAN FRANCISCO, AUGUST 17, 2026 Download pdf - Share on X / LinkedIn - Contact us At Irregular, we work at the frontier of AI security. Our work has led us t…

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Asana used OpenAI Codex to replace an outdated testing system in two weeks, completing work expected to take five years for about $12K.

Researchers have found it took only a coin-sized device and less than 60 seconds to hijack critical features in Boeing 737 airplanes, which could allow hackers to cause a flight to be redirected, overshoot the runway, o…

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GOODY-2 Outrageously safe. Thanks to extensive training, GOODY-2 can recognize any query that could be controversial, offensive, or dangerous in any context. It elegantly avoids answering, redirecting the conversation a…

arXiv:2608.14986v1 Announce Type: new Abstract: Long-horizon robotic manipulation fundamentally relies on persistent spatial memory. However, existing 3D memory systems function merely as passive recorders: they store observations using fixed, hand-crafted rules, treating every scene element--whether a critical grasp target or an irrelevant background wall--with equal importance. In this paper, we propose a paradigm shift from passive storage to active, task-driven spatial memory. We argue that a robot's memory should not simply record what it sees, but actively learn how to remember--discovering which objects to track precisely, how aggressively to update them, and what to discard, all learned end-to-end without hand-designed rules. Crucially, this active paradigm is realized by unifying…

arXiv:2608.14952v1 Announce Type: new Abstract: A structured world-state (entities, relations, context, and predictive cues) is designed to preserve prediction-critical content when perception degrades, but it presumes observations to populate it; when the primary visual modality is occluded or degraded, those observations may be missing. We address how to sustain the world model from a complementary modality by treating the absence of expected co-evidence as evidence of a hidden cause. The abductive framework is modality-agnostic; this article instantiates it acoustically. A microphone-array front-end estimates the bearing of engine and tire sources and extracts approach-rate evidence (Doppler when a stable tone exists, a broadband looming readout otherwise); the event "signature present…

arXiv:2608.14944v1 Announce Type: new Abstract: Natural-language interfaces can lower the barrier to programming robots, but existing systems struggle when users request complex tasks. While large language models (LLMs) perform well with simple commands, they often struggle to generate code for multi-step tasks, decompose high-level instructions, or reuse prior solutions. We present SkillComposer, an interactive natural-language robot programming system for simulation environments that continually learns reusable program abstractions. SkillComposer uses a generate-test architecture in which an LLM iteratively generates and revises robot programs before execution. Successful programs are stored and processed by an online library-learning algorithm that compresses recurring function sequenc…

arXiv:2608.14937v1 Announce Type: new Abstract: The increasing dynamic demands of modern robotic joints require current controllers to achieve high bandwidth over wide operating ranges of speed, acceleration, and torque, where communication, computation, and discrete-time effects can no longer be neglected. Conventional PMSM current controllers are typically designed in continuous time and subsequently discretized, leaving the sampling frequency and the impact of implementation delays largely to heuristic selection and iterative validation. This paper introduces a task-aware, delay-extended discrete-time joint model that explicitly accounts for physical communication and computation delays and enables direct synthesis of a discrete PI current controller with prescribed bandwidth and delay…

arXiv:2608.14902v1 Announce Type: new Abstract: Recent 3D Gaussian Splatting (3DGS) has enabled efficient photorealistic view synthesis and is rapidly being adopted in simultaneous localization and mapping (SLAM) systems for online mapping. In these systems, a Gaussian map must be expanded and refined incrementally while tracking runs in real time, so initialization and density control directly determine where limited computation and iterations are spent. This contrasts with offline 3DGS reconstruction, where such heuristics can be amortized over long optimization schedules. However, most 3DGS-SLAM pipelines inherit initialization and density-control heuristics from offline reconstruction, which can become brittle under the strict per-keyframe optimization budgets and incremental map grow…

arXiv:2608.14865v1 Announce Type: new Abstract: An actuator health estimation algorithm for a soft swimming robot that can perform anguilliform swimming is developed. Due to harsh operational environments of underwater robots, and the common degradation of soft robot materials and actuators, accurate estimation of actuator functionality is necessary for robots to perform their missions as well as return to base in the event of actuator degradation and failure. Termed REACH (Real-time Estimator of Actuator Control and Health), the architecture employs a soft robot model, sigma point filter, and a formal statistical hypothesis test to adequately capture the nonlinearities and changes over time. The performance of REACH using three sensor types (GPS, IMU, and Bend Sensor) with one sensor on…

arXiv:2608.14860v1 Announce Type: new Abstract: Anguilliform locomotion is a highly efficient swimming mode; the advent of new materials for soft robots enables the development of an eel-inspired soft robot. This paper presents a simulation model of an eel-inspired soft robot designed for anguilliform swimming. This model can aid in design optimization and the development of model-based estimation, reasoning, and control systems. A Finite Element Method (FEM) model of an elastic rod is used to capture the soft materials of the robotic fish, which makes it particularly amenable to variation over time as the material properties change. The material model is coupled with a hydrodynamic force model to simulate the behavior of a soft, elongated robot in water. The model is used to demonstrate…

arXiv:2608.14822v1 Announce Type: new Abstract: Vision-language-action (VLA) models have improved the flexibility and generality of robotic manipulation, yet they remain fragile to online disruptions, such as changes in task goal, scene configuration, or robot state. Existing recovery methods often require failure data, policy retraining, or external corrective agents, introducing additional data requirements and execution risks. We propose Counterfactual Realignment (CoRe), a training-free framework that recovers a frozen VLA at inference time without failure data. Upon detecting a deviation, CoRe imagines how the policy would continue toward the current goal from a recent viable state, using synthesized observations in place of physical execution, and then minimally realigns the robot a…

arXiv:2608.14772v1 Announce Type: new Abstract: Minimally invasive and robot-assisted surgery offer many advantages over traditional open surgery, but deprive surgeons of tactile feedback and the ability to palpate tissue with their fingers. To address this lack of tactile feedback, we introduce the MISTac, a high resolution vision-based tactile sensor specifically designed for palpation in MIS. The sensor has a replaceable sensor tip with a diameter of 8 mm which allows it to fit through the trocars used in minimally invasive surgery. Its modular 3D-printed case design allows the use of bulky off-the-shelf illumination and imaging hardware that can easily be exchanged and upgraded. The sensor has an optical resolution of 176.68 $\mu m$, a tactile resolution of 250 $\mu m$, and can resolv…