Author: Advanced AI Editor
Artificial intelligence is undoubtedly the hottest area of tech today, with venture capital dollars flowing into startups in the space at unprecedented levels. Within the vast space, voice AI startups have emerged as a standout, attracting the attention of investors globally, Crunchbase data shows. Over the past 12-18 months, several voice AI companies have seen their valuations triple — a signal of accelerating market demand and perceived long-term worth. One example of a voice AI company that has seen a massive valuation jump this year is ElevenLabs, which allows creators, enterprises and others to use AI software to replicate voices…
Tesla has introduced MultiPass, a new feature that allows owners to use their Tesla account to charge at non-Tesla charging stations. The service launched this week in the Netherlands, giving drivers the ability to find chargers, start sessions, and view charging history directly within the Tesla app. Streamlining third-party charging With MultiPass, Tesla owners can activate charging either through the Tesla app or by using their existing Tesla key card. This eliminates the need for separate accounts or additional cards from third-party networks. Tesla Charging highlighted the convenience of managing charging sessions in one location in a post on X,…
Fabian Kamberi, CEO and co-founder of the Berlin-based AI gaming startup Born, thinks the current AI companions on the market are designed to be exploitative and geared towards isolating users through one-to-one relationships with AI chatbots. “It feels like it fuels the loneliness epidemic, instead of making it more fun and giving users the opportunity to make their lives better,” Kamberi told TechCrunch. The future of AI companions, he says, is about shared experiences that strengthen real-world bonds. Born’s flagship AI product is an app where users can raise, play mini-games with, and co-parent a cute virtual pet named Pengu.…
Leading Internet companies and publishers—including Reddit, Yahoo, Quora, Medium, The Daily Beast, Fastly, and more—think there may finally be a solution to end AI crawlers hammering websites to scrape content without permission or compensation. Announced Wednesday morning, the “Really Simply Licensing” (RSL) standard evolves robots.txt instructions by adding an automated licensing layer that’s designed to block bots that don’t fairly compensate creators for content. Free for any publisher to use starting today, the RSL standard is an open, decentralized protocol that makes clear to AI crawlers and agents the terms for licensing, usage, and compensation of any content used to…
Voices announces the availability of its one-of-a-kind, ethically sourced character, high quality voice dataset, featuring over 450 distinct character types, each performed by professional voice contributors. NEW YORK, September 10, 2025 (Newswire.com) – Voices, the world’s leading voice solutions and voice data provider, today announced the release of its new character audio dataset featuring character-specific voice data, purpose-built for voice AI training.The dataset offers a large and expressive range of voice data, featuring 19 tones, 35 emotions, and 21 paralinguistic cues across more than 450 character types, ranging from a 1920s Flapper, a Drill Sergeant, a Wise Old Wizard, and…
Moveworks, the leading generative AI copilot for employee support, is releasing the Moveworks Copilot, providing employees with a conversational interface that enables them to interact with and take action across all business systems using natural language.Additionally, Moveworks previewed upcoming enhancements, including Copilot for Web and an innovative, first-of-its-kind plugin Template Library for new LLM use cases.“Unlike other Copilots, Moveworks is the one central place where employees can connect to the right data, the right workflow, the right automation, and the right insights across all of your applications,” said Bhavin Shah, CEO and co-founder of Moveworks. “By sitting at the intersection…
This article first appeared on GuruFocus. ASML (ASML, Financials) is making a big bet on artificial intelligence. The Dutch chip equipment maker said Tuesday it invested 1.3 billion ($1.5 billion) in Mistral AI, giving it an 11% stake and making it the French startup’s largest shareholder. The deal, part of Mistral’s 1.7 billion ($2 billion) funding round, values the company at 11.7 billion the highest for any AI startup in Europe. For ASML, the move is about more than money. It plans to integrate Mistral’s models across its semiconductor equipment, bringing AI directly into the tools that power chip production.…
Just when you thought legal research was done and dusted……Meet Blueshoe, a new legal tech startup – backed by Y-Combinator and part of its 2025 cohort – which is ‘launching a next-generation AI platform for legal research and reasoning’ and seeks to challenge the incumbents. And you may then say: ‘OK, but how will this be different to what has come before?’ Co-founder and CEO, Casey O’Grady, explained: ‘Lawyers, students, and researchers deserve the same ‘aha’ moment that consumer users of AI already know: the feeling that complex work can suddenly become clear, intuitive, and fast.’ Sounds intriguing….but, what is…
C3.ai’s second quarter results disappointed investors, with revenue and profitability both falling notably short of Wall Street’s expectations. Management attributed the underperformance to disruptions caused by a major restructuring of the sales and services organization and a period of leadership transition. Executive Chairman Tom Siebel described the financial results as “completely unacceptable,” citing poor sales execution and a lack of resource coordination as the primary causes. The company also experienced a negative impact from a lower mix of demonstration license revenue and higher costs associated with initial production deployments. Is now the time to buy AI? Find out in our…
Recent advancements in image customization exhibit a wide range of application prospects due to stronger customization capabilities. However, since we humans are more sensitive to faces, a significant challenge remains in preserving consistent identity while avoiding identity confusion with multi-reference images, limiting the identity scalability of customization models. To address this, we present UMO, a Unified Multi-identity Optimization framework, designed to maintain high-fidelity identity preservation and alleviate identity confusion with scalability. With “multi-to-multi matching” paradigm, UMO reformulates multi-identity generation as a global assignment optimization problem and unleashes multi-identity consistency for existing image customization methods generally through reinforcement learning on diffusion…