Daloopa, a leading AI-powered data platform, has secured a $13 million investment from Pavilion Capital to address the shortcomings of public web-sourced data in powering Large Language Models (LLMs) and AI agents in financial services. The company's Model Context Protocol (MCP) bridges the gap between LLMs and structured financial data, providing full auditability with hyperlinked datapoints sourced from original documents. Daloopa's platform is already integrated with Anthropic's Claude for Financial Services and supports other AI platforms using MCP Standard Protocol, enabling institutions to build more reliable and scalable financial AI tools.
The rise of AI-generated music is sparking debate about transparency in the music industry, as some creators use software like Suno and Udio to produce songs with just a few prompts. Streaming service Deezer has started flagging AI-generated songs on its platform, using in-house technology to detect subtle patterns found in AI-created audio. Some users can check if a song is human-made or generated by AI using third-party services like IRCAM Amplify, which can provide probabilities of 81.8% to 98%. However, experts warn that there's no foolproof way to determine the authenticity of content as AI technology improves rapidly, making it increasingly challenging to distinguish between real and synthetic music.
The next decade's most successful AI companies will prioritize infrastructure strategies that match their algorithms' needs, moving away from cloud-first assumptions. This shift represents a step toward more tailored approaches to AI system infrastructure, allowing for cost-efficient use of cloud spot instances and dedicated hardware for mission-critical model development, as seen in the work of companies like Google and Amazon.
Google plans to roll out artificial intelligence (AI) technology in the US to estimate whether users are under 18 years old. The AI Age estimation will initially be introduced to a "small set of users" over the next few weeks, with plans to expand it further. If a user is identified as being under 18, Google will apply age-appropriate protections on YouTube, including Digital Wellbeing tools and restrictions on certain types of content. Users who are incorrectly identified can verify their age by uploading a government ID or selfie.
Google's chief legal officer Kent Walker has expressed concerns that the EU's Artificial Intelligence Act and a new voluntary code of practice may slow Europe's AI development, citing potential departures from copyright law and trade secret risks as major concerns.
The adoption of AI in healthcare has been slow, despite its potential impact on productivity, with past technological waves such as RPA and ML failing to deliver comparable results to other industries. It wasn't until now that the significant influence of AI is being felt, over a decade after its introduction in healthcare.
A federal judge has denied Workday Inc.'s bid to narrow age bias claims against its AI-powered job candidate screening tools. The lawsuit alleges discrimination against older workers who applied through a technology platform acquired by Workday after the suit was filed in February 2023. Judge Rita F. Lin ruled that people applying to job postings using HiredScore screening tools are eligible to join the case, disagreeing with Workday's argument that the acquisition occurred after the lawsuit was filed.
District Judge Xavier Rodriguez has clarified the guidelines he co-authored with four other judges and a professor, advising that they should be viewed as a "yellow light" for judges to use AI tools. This shift in perspective reflects a growing concern about bias and discrimination in AI usage, according to Susan Rohol of Willkie Farr and Gallagher.
Kodiak Robotics, Inc., a leading provider of AI-powered autonomous vehicle technology, faces numerous risks and uncertainties that could impact its forward-looking statements. These include changes in business conditions, competition, supply shortages, and the potential for flaws or errors in autonomous vehicle technology. The company's driverless solution aims to address supply chain challenges by safely transporting goods, with a vision to become the world leader in autonomous ground transportation. Kodiak has developed the Kodiak Driver, a virtual driver that combines AI-powered software with modular hardware, which is already being used in commercial trucking and public sector applications, including national security initiatives.