AI News

If you were looking to elevate the visibility of your prominent tech company with a budget of $10 million, how would you choose to invest it? Would it be in a flashy Super Bowl ad or a Formula 1 sponsorship? Another compelling option might be to invest in training a generative AI model. Although this approach isn't traditional marketing, generative models attract significant attention and serve as effective channels for driving sales of essential products and services.

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The current tech landscape is dominated by discussions around artificial intelligence, and LinkedIn is keen to harness this momentum. On Thursday, the platform unveiled a suite of new AI-driven services designed to enhance user experiences.

In 2021, Oleg Klimov, Vlad Guber, and Oleg Kiyashko embarked on a mission to develop Refact.ai, a platform designed to help companies adopt Generative AI (GenAI) for coding by offering enhanced customization and control for its users. Klimov and Kiyashko, who have nearly a decade of experience in AI-driven image recognition and security systems, collaborated on this initiative, while Guber, a childhood friend of Kiyashko from the South Ukrainian town of Yuzhnoukrainsk, joined the project.

As expected, the Google I/O 2024 conference showcased a wealth of exciting AI innovations, including a groundbreaking feature for Google TV.

Staying informed about the rapidly evolving AI industry can be challenging. Until there’s an AI capable of doing it for you, here's a concise overview of recent developments in machine learning, alongside significant research and experiments we didn't cover in detail.

Israeli startup Mine has gained significant recognition in recent years for its innovative data privacy audit tool. By leveraging AI and natural language processing, Mine enables users to quickly assess which companies have access to their personal data through a simple scan of their inbox. This capability allows users to remove unwanted information from various platforms. Amid rising awareness of GDPR and other data privacy regulations, the initially free tool resonated with users, ballooning to 5 million users in no time.

OpenAI is enhancing its Custom Model program to assist enterprise customers in developing tailored generative AI models that address specific use cases, domains, and applications. Initially introduced at OpenAI’s first developer conference, DevDay, last year, Custom Model allows companies to collaborate with dedicated OpenAI researchers to train and optimize AI models for specific sectors. Since its launch, “dozens” of enterprises have joined the program. However, OpenAI has recognized the need to expand this initiative to further “maximize performance.”

Hundreds of professionals within the artificial intelligence community have signed an open letter advocating for stringent regulations on AI-generated impersonations, commonly known as deepfakes. While it may not lead to immediate legislative action (even with the recent formation of a House task force), it reflects an emerging consensus among experts regarding this pressing issue.

Google is enhancing its AI-powered chatbot, Gemini, to improve its understanding of its environment and the users interacting with it. At the Google I/O 2024 developer conference on Tuesday, the tech giant introduced Gemini Live, a feature that enables users to engage in “in-depth” voice conversations with the chatbot directly from their smartphones. Users can interrupt Gemini during its responses to seek clarification, and the chatbot will also adjust to their speech patterns in real time. Furthermore, Gemini can perceive and interact with users' surroundings by processing images or videos captured by their phone cameras.

Apple is intensifying its focus on integrating generative AI into its product lineup, following the introduction of a “Transformer” model-based autocorrect feature in iOS 17 earlier this year. In recent weeks, the company has posted multiple job openings emphasizing its needs for generative AI expertise. For instance, a position on the App Store showcases Apple’s aim to develop a generative AI-based platform to enhance the internal developer experience and support the app development team.

Microsoft has unveiled a new hub in London dedicated to its recently launched consumer AI division, led by Jordan Hoffmann, an AI scientist and engineer who joined Microsoft from the renowned startup Inflection AI, which the tech giant invested in last year.

Canada is making a bold commitment to the future of artificial intelligence with a significant investment of $2.4 billion outlined in its annual federal budget. This initiative, announced by Prime Minister Justin Trudeau, aims to empower AI researchers and startups by enhancing access to essential computing resources and technical infrastructure.

Intel CEO Pat Gelsinger revealed the company’s AI ambitions at Vision 2024, introducing the Gaudi 3 AI chips that outperform Nvidia's H100. Intel promotes an open AI platform, aiming to simplify enterprise adoption by enhancing data management and fostering partnerships, while ensuring data privacy and control.

On July 30, Moore Threads and Donghua Software launched the AI agent platform "A.I.Cogniflex," utilizing advanced GPUs for a safe and effective large model. This end-to-end solution enhances various sectors like healthcare and finance, while Donghua Software, founded in 2001, supports extensive software solutions across multiple industries.