Nvidia expands Ampere-based GPUs for AI design and productivity apps

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1. Nvidia expands Ampere-based GPUs for AI design and productivity apps

Nvidia has launched two new Ampere-based graphics processing units for desktops: the Nvidia RTX A400 and Nvidia RTX A1000. These GPUs expand access to AI and ray-tracing technology, enabling professionals to transform their daily workflows.

The RTX A400 introduces accelerated ray tracing and AI processing, surpassing traditional CPU-based solutions. The A1000 brings Tensor cores and RT cores to the RTX 1000 series, unlocking accelerated AI and ray-tracing performance for creatives and professionals.

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2.UK targets “despicable individuals” who create AI sex deepfakes with new law

The UK government has announced a new law targeting the creation of AI-generated sexually explicit deepfake images. Under the legislation, offenders would face prosecution and an unlimited fine, even if they do not widely share the images but create them with the intent to distress the victim.

The UK government is aiming to enhance legal protections for women and is reinforcing existing laws, allowing charges for both the creation and distribution of deepfake content. The new offense sends a clear message that creating such material is immoral and a crime.

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3. Amazon Music follows Spotify with an AI playlist generator of its own, Maestro

Amazon Music is testing Maestro, an AI playlist generator, which allows users to create playlists using spoken or written prompts, including emojis. The product is launching in beta and is not yet widely available.

It is launching to a "subset" of free Amazon Music users, Prime customers, and Unlimited Amazon Music subscribers in the U.S. Subscribers will gain access to more functionality, such as instant streaming and saving playlists. The beta will roll out more broadly over time.

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4. Zyphra releases Zamba, an SSM-hybrid foundation model to bring AI to more devices

Zyphra Technologies is introducing a 7B SSM-hybrid AI model called Zamba, which aims to bring AI to more devices while requiring a lower inference cost. The company believes that the centralized approach of big companies, such as OpenAI and Anthropic, is limiting the ability to build personal AI and personalization.

Zyphra chose this approach because it believes having a small language model is the best way to place AI on more devices. The company is also pushing for more specialized and smaller language models to address the limitations of centralized AI models.

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5. Hugging Face launches Idefics2 vision-language model

Hugging Face has released Idefics2, a vision-language model capable of understanding and generating text responses based on images and texts. The model sets a new benchmark for answering visual questions, describing visual content, story creation, document information extraction, and performing arithmetic operations based on visual input.

With just eight billion parameters and enhanced Optical Character Recognition capabilities, Idefics2 outperforms its predecessor, Idefics1, and holds its ground against larger contemporaries like LLava-Next-34B and MM1-30B-chat. The model's comprehensive training philosophy and refined image manipulation make it a foundational tool for exploring multimodal interactions.

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