AI News

YouTube has unveiled its strategy for managing AI-generated content on its platform, introducing a set of new policies focused on responsible disclosure and tools for the removal of deepfakes. The company emphasizes that while it already has rules against manipulated media, the rise of AI technology necessitated the development of additional guidelines. These measures aim to prevent misleading viewers who might be unaware that a video has been “altered or synthetically created.”

Google's advanced generative AI model family, Gemini, is heading to Samsung's latest flagship smartphone — the Galaxy S24. This exciting announcement was made during the Galaxy S24's unveiling event this afternoon.

DataStax has established itself as a leader in the realm of databases by commercializing the open-source Apache Cassandra NoSQL database. However, the company has recently shifted its focus to building a comprehensive “one-stop GenAI stack.” A key milestone in this journey was the introduction of vector search capabilities to its Astra DB service last summer. Since then, DataStax has expanded its platform to enhance the development of GenAI applications using Retrieval-Augmented Generation (RAG). Today, the company took a significant step forward by announcing its acquisition of Logspace, the innovative team behind Langflow, a low-code tool designed for creating RAG-based applications.

Many large corporations aspire to embrace the AI revolution but hesitate to commit to a single foundational model too soon. This creates a demand for an intermediary solution that allows businesses to access large language models (LLMs) without being permanently tied to one platform. Langdock is addressing this market need with its innovative chat interface that connects companies to various LLMs.

The "Traitorous Eight," the PayPal Mafia, and Now, the OpenAI Expats?

The factories that process our food and beverages—surprise, they don’t just come fresh from the farm—must maintain high cleanliness standards to prevent illness. This typically involves traditional methods like petri-dish microbiological monitoring and laboratory testing. A new French startup aims to revolutionize this process using advanced deep-learning algorithms.

Companies are increasingly investing in generative AI to secure a competitive advantage. However, they face challenges in adoption. A recent survey by EY reveals that many businesses eager to implement generative AI are struggling with the rapid advancements in the field and the influx of vendors claiming expertise, making their deployment efforts more complex.

People are more inclined to help when approached kindly—this is a widely recognized truth. But do generative AI models respond similarly?

During the summer following his freshman year at Worcester Polytechnic Institute, an engineering school in Worcester, Massachusetts, Daniel Pelaez, co-founder and CEO of Cyvl.ai, found himself in need of a job. He returned home and took a position at his local public works department, where he quickly realized there was minimal software available for tracking road repairs. His task involved driving around, identifying problems, and resolving them.

Interview Kickstart Secures $10 Million Funding to Empower Tech Professionals

Hyped hardware startup Humane has officially announced its first international market launch, partnering with South Korea's leading carrier, SK Telecom. This news follows shortly after the San Francisco-based company revealed a delay in the shipping date for its Ai Pin device, moving it from March to mid-April for U.S. consumers.

Nearly a decade ago, brothers Aviv and Matteo Shapira co-founded Replay, a company that pioneered a video format for immersive 360-degree replays, which have become integral to major sports broadcasts. In 2016, Intel recognized Replay’s potential and acquired the company for a reported $175 million. This acquisition led Aviv and Matteo to meet Rubi Liani, founder of Israel's official drone racing league (FRIL), who introduced them to the exciting world of drone racing and inspired their next venture, Xtend.

Bumble’s founder and executive chair, Whitney Wolfe Herd, sparked discussion this week with her insights on the potential impact of AI on the dating landscape. During an interview with Bloomberg’s Emily Chang, she acknowledged concerns regarding the use of bots that mimic real people or the possibility of individuals falling in love with AI—issues that Chang posited could complicate online dating. Herd, however, emphasized Bumble's commitment to leveraging technology to “foster healthier and more equitable relationships.”

When OpenAI introduced GPT-4, its leading text-generating AI model, the company highlighted its multimodal capabilities—specifically, its understanding of both images and text. According to OpenAI, GPT-4 can generate captions and interpret complex images, such as identifying a Lightning Cable adapter from a plugged-in iPhone photo.

Large language models are renowned for their ability to support multiple languages, but many are primarily trained on English. Recently, a new model emerged specifically designed for Hindi-speaking users: OpenHathi-Hi-v0.1. Developed by Sarvam AI, an innovative Indian startup specializing in generative AI solutions, this model not only outperforms OpenAI's GPT-3.5 Turbo in numerous Hindi tasks but also retains high performance in English.