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Figma just announces big redesign with AI，and launching a presentation feature, too. What new tools can liberate designers’ hands? Let’s dive in…
TODAY’S AI News
- Figma Announces Major Redesign with AI
- Daily featured AIs boost your career and business.
- AI’s Role in Protein Science: Revolutionizing but Not Replacing
TODAY’S AI WORLD
- Youtube in talks with record labels over Al music deal：Youtube is in talks with record labels to legally train an artificial intelligence song generator with record label content, and the company is preparing to launch new tools this year. YouTube recently offered cash to major labels including Sony, Warner Bros. and Universal in an effort to persuade more artists to allow their music to be used to train artificial intelligence software.
- Rabbit R1 Security Flaw: Exposed API Keys Pose Major Risk: Rabbit R1 has once again fallen into the whirlpool of public opinion. After the App was criticized for being a shell of Android, the main popular big action model LAM relied on the OpenAI interface. Its API was exposed to have security vulnerabilities and the risk of leaking user data.Rabbit is currently developing a patch to resolve this issue and enhance its security protocols.
- Amazon Hits $2 Trillion Valuation：Amazon reached a significant milestone when its market cap exceeded $2 trillion. This achievement places the company alongside Apple and Microsoft. The surge in Amazon’s stock was fueled by robust sales and innovative services. Additionally, strategic investments in new technologies played a crucial role. Analysts believe Amazon’s growth trajectory will continue, driven by innovation and market expansion.
- NBC to use Al Michaels’ voice in Olympics Recap：NBC announced this time that the Peacock streaming media platform will use AI-generated voices based on Michaels’ voice to broadcast and explain the “Peacock Daily Olympic Recap on Peacock” program.AI will assist in generating real-time stats, predictive analysis, and personalized content for viewers.
- SoftBank will invest up to US$20 million in Perplexity：SoftBank Group’s Vision Fund 2 is investing in American artificial intelligence startup Perplexity AI at a valuation of US$3 billion. SoftBank will invest US$10 million to US$20 million in AI search engine company Perplexity.Perplexity aims to use AI to compete with Google search. It is reported that this investment is part of a US$250 million (currently approximately 1.821 billion yuan) financing. After the completion of the financing, Perplexity’s valuation will triple, becoming one of the highest valued companies in the industry.
Figma
Figma Announces Major Redesign with AI
Figma announced a series of new features and updates at the Config 2024 conference aimed at improving design efficiency and user experience.Discover the New Features!”
The Details
- Get started quickly and keep creativity flowing: Figma AI helps users find what they need faster, generate first drafts of designs, and automate tedious tasks so designers can focus on the creative part.
- Visual Search: Upload an image to find exact matches or similar designs.
- Generate first drafts: Use prompts to generate first drafts of designs in different styles and layouts.
- Instant Prototyping: Transform static models into interactive prototypes instantly.
- Automatically name layers: Intelligently name and organize layers with one click.
- FigJam AI：FigJam AI helps you quickly visualize complex ideas into simple diagrams, organize feedback, and automate tedious tasks.
- Figma Slides：a new presentation creation tool that allows multiple users to collaborate on the same presentation in real time.It provides many ready-made professional templates.Through Figma Slides, Figma Design’s designs and prototypes are seamlessly integrated. Users can insert and display interactive prototypes directly in presentations, and can also collect audience feedback in real time to make presentations more interactive and vivid.
Why It Matters
- Improved Efficiency: Automated design suggestions and intelligent recommendations streamline workflows. This makes design processes more efficient.
- Enhanced Collaboration： Real-time collaboration enhancements ensure that teams can work together seamlessly regardless of location.
- Focus on Creativity: By reducing repetitive tasks Figma AI allows designers to focus on creative aspects of their projects. This fosters innovation.
- Competitive Edge: The integration of AI tools helps Figma set a new standard in design industry. This provides competitive advantage.
- User-Centric Development.：Figma’s focus on user feedback ensures that AI tools are continually refined to meet user needs. This leads to better overall performance.
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AI with science
AI’s Role in Protein Science: Revolutionizing but Not Replacing
AI has brought transformative changes to protein science, especially tools like AlphaFold, which can predict protein structures with great accuracy. Despite these advances, AI has not solved all challenges in the field.
The Details
- AlphaFold’s Breakthrough: DeepMind’s AlphaFold has revolutionized protein structure prediction. Its accuracy is unprecedented.
- Deepening Knowledge: AI tools like AlphaFold have greatly enhanced our understanding. Specifically they have elucidated protein folding process.
- Experimental Validation: Traditional experimental methods remain critical. They validate AI-generated protein structure predictions.
- Complex Protein Function: Despite AI advances understanding protein interactions and functions in complex environments remains challenging. Combining AI advancements with traditional experimental techniques is essential. This is necessary for comprehensive studies.
- Data and Experiments: AI provides valuable data-driven insights. These insights need to be confirmed by experimental data.
- Future Integration: The future of protein science depends on integration of AI innovations. Ongoing scientific exploration will play a crucial role.
Why It Matters
AI-driven insights complement traditional experimental approaches to provide a deeper and more comprehensive understanding of protein behavior. Scientists are still working to understand protein interactions, folding mechanisms, and function in complex environments. The synergy between AI and traditional experimental approaches remains critical. While AI has revolutionized protein science, it is not a panacea. The future of protein research lies in combining AI innovations with ongoing scientific inquiry and experimentation.
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