Google’s AI designs its own chips

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Welcome, AI enthusiasts.

Google’s recent breakthrough AlphaChip method creates a strong feedback loop: AI design chips, which train more advanced AI, which designs even higher chips.

With this virtuous cycle, 10M context windows (in research), and upgraded Gemini models, is Google quietly pulling ahead within the AI race? Let’s get into it…

In today’s AI rundown:

  • Google revolutionizes chip design

  • YouTube support added to NotebookLM

  • Find viral clips with Canva’s ‘Highlights’

  • Archaeologists make big discovery using AI

  • 5 recent AI tools & 4 recent AI jobs

  • More AI & tech news

Read time: 4 minutes

LATEST DEVELOPMENTS

GOOGLE DEEPMIND

🤖 Google revolutionizes chip design

Image source: Google

The Rundown: Google DeepMind just unveiled AlphaChip, an AI system that designs computer chips through the use of reinforcement learning to create superhuman chip layouts in hours relatively than months.

The main points:

  • AlphaChip has been used to design layouts for the last three generations of Google’s Tensor Processing Units (TPUs), improving performance and accelerating the design cycle.

  • The AI system uses a novel “edge-based” graph neural network to learn relationships between chip components and generalize across different chip designs.

  • Google is releasing a pre-trained checkpoint of AlphaChip, sharing the model weights to encourage further research and development in AI-assisted chip design.

  • AlphaChip’s impact extends beyond Google, with corporations like MediaTek adopting the technology for his or her most advanced chips utilized in smartphones and other devices.

Why it matters: AlphaChip creates a strong feedback loop: higher AI models design higher chips, which enable the training of much more advanced AI models, which design even higher chips, and so forth. This self-reinforcing cycle could dramatically speed up AI progress, and at a level that any human will struggle to compete with.

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YOUTUBE

▶️ YouTube support added to NotebookLM

Image source: Google

The Rundown: Google just upgraded its NotebookLM tool, adding support for YouTube videos and audio files, together with easier sharing of Audio Overviews—its latest viral AI hit that turns notes, PDFs, Google Docs, and more into AI-generated podcasts.

The main points:

  • NotebookLM now supports public YouTube URLs and audio files, allowing users to research videos, lectures, and audio alongside existing text sources.

  • The tool leverages Gemini 1.5’s multimodal capabilities to summarize key concepts from videos and transcribe audio.

  • A brand new sharing feature allows users to generate public links for Audio Overviews, making collaboration even easier.

  • These updates aim to streamline tasks reminiscent of creating study guides, analyzing multiple perspectives on issues, and extracting essential information from video, audio, and text.

Why it matters: It’s an enormous day for Google. The corporate’s viral hit with NotebookLM is now much more impressive with access to YouTube videos and audio files. YouTube is an limitless treasure chest of how-to guides, lectures, documentaries, and entertainment—and now, anyone can devour hours price of videos in minutes with AI.

AI TRAINING

🎥 Find viral clips with Canva’s ‘Highlights’

The Rundown: Canva’s ‘Highlights’ feature uses AI to routinely select the most effective moments out of your long-form videos, saving you tedious time spent on editing and increasing the standard of your content.

Step-by-step:

  1. Open your video in Canva’s editor (requires a paid subscription).

  2. Click “Edit video” in the highest menu, then select “Highlights” from the Tools section.

  3. Let the AI analyze your long video and generate highlight clips.

  4. Review the suggested highlights and choose the viral short clips you must use for Instagram, TikTok, and YouTube Shorts!

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AI RESEARCH

🪨 Archaeologists make big discovery using AI

Image source: University of Yamagata

The Rundown: Archaeologists from Japan’s Yamagata University, in collaboration with IBM Research, used AI to uncover 303 previously unknown geoglyphs near Peru’s famous Nazca Lines, nearly doubling the variety of known figures at the positioning.

The main points:

  • The newly discovered geoglyphs, dating back to 200 BC, depict various animals and humans, including parrots, cats, monkeys, killer whales, and even decapitated heads.

  • AI combined with low-flying drones dramatically accelerated the invention process, accomplishing nearly a century’s price of labor in six months.

  • These smaller geoglyphs (10-25 feet across) provide recent insights into the transition from the Paracas culture to the Nazca culture.

  • The findings, published within the Proceedings of the National Academy of Sciences, reveal AI’s ability to assist greatly improve archaeological research.

Why it matters: Is there anything AI can’t help us accomplish? The period of time saved using low-flying drones and artificial intelligence is price repeating: 100 years price of labor in six months. The ways through which AI goes to affect our lives are still vast and largely unknown, as this discovery proves.

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AstraZeneca partnered with Immunai, paying $18 million to make use of the biotech firm’s AI model of the immune system to boost cancer drug trial efficiency.

Visa agreed to amass AI-driven payments protection firm Featurespace to boost its financial crime and fraud detection capabilities—the acquisition price was not disclosed.

Runway launched The Hundred Film Fund to offer grants of $5,000 to $1 million for filmmakers using AI of their projects.

Microsoft announced a $1.3 billion investment in Mexico to boost AI infrastructure and skills training over the following three years.

Blackstone confirmed a $13.3 billion investment to construct an AI data center in northeast England, creating 4,000 jobs including 1,200 in construction.

Hugging Face reached 1 million free public AI models on its platform, highlighting the trend towards specialized models for diverse use cases relatively than a single dominant model.

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