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- 🤖 Sonair Mimics Dolphins to Develop Autonomous 3D Vision Without Lidar
🤖 Sonair Mimics Dolphins to Develop Autonomous 3D Vision Without Lidar
PLUS: Plumerai, backed by Tony Fadell, introduces on-device AI for home security cameras
Hyrise AI
October 08, 2024
Welcome, AI Enthusiasts.
Sonair, a Norwegian startup, is leveraging ultrasound technology to develop a 3D computer vision system for autonomous hardware.
Plumerai, backed by Tony Fadell, is pioneering on-device AI for home security cameras, eliminating the need to send data to remote servers.
In today’s issue:
🤖 SONAIR
🦾 PLUMERAI
🛠️ AI PRODUCTS
🥋 AI DOJO
🤖 QUICK BYTES
Read time: 7 minutes.
LATEST HIGHLIGHTS
SONAIR
Sonair Mimics Dolphins to Develop Autonomous 3D Vision Without Lidar
Image source: Sonair
To recap: Sonair, a Norwegian startup, is leveraging ultrasound technology to develop a 3D computer vision system for autonomous hardware. Unlike traditional lidar, Sonair's solution uses sound waves to detect people and objects in 3D with minimal energy and computational demands. The company’s technology is being initially targeted at autonomous mobile robots, but it aims to expand into other sectors like automotive. Sonair recently raised $6.8 million in funding and believes its ultrasound sensors can significantly reduce the cost of sensor packages by up to 80%, positioning it as a more affordable alternative to lidar.
The details:
Sonair, a Norwegian startup, uses ultrasound technology for 3D computer vision in autonomous systems, aiming to replace lidar by offering a cheaper and more efficient alternative. Its ultrasound sensors detect objects in 3D using minimal energy and computational resources. Initially focusing on autonomous mobile robots, Sonair plans to expand into other sectors, including automotive. The company recently raised $6.8 million and claims its technology can reduce sensor package costs by 50-80%, providing a cost-effective solution compared to lidar.
Here is the key takeaway: Sonair is pioneering the use of ultrasound technology for 3D computer vision in autonomous systems, offering a cost-effective and efficient alternative to lidar. Their solution aims to reduce sensor package costs by 50-80%, making it a promising option for developers of autonomous robots and potentially other sectors like automotive.
PLUMERAI
Plumerai, backed by Tony Fadell, introduces on-device AI for home security cameras
Image source: Plumerai
In Summary: Plumerai, backed by Tony Fadell, is pioneering on-device AI for home security cameras, eliminating the need to send data to remote servers. This approach enhances privacy, reduces costs, and increases efficiency. Plumerai's "tiny AI" is more accurate and energy-efficient, enabling smart cameras to detect people and recognize familiar faces with minimal computational power. The technology will be incorporated into Chamberlain Group's outdoor cameras. Fadell emphasizes the importance of small, focused teams in driving innovation, drawing parallels to his experience developing the iPod and iPhone.
Key points:
- On-device AI: Plumerai's technology enables AI processing directly on home security cameras, eliminating the need for data to be sent to remote servers, improving privacy and reducing costs.
- Tiny AI: The company's AI models are smaller and more efficient than traditional large models, making them ideal for smart home devices with limited processing power.
- Partnership: Plumerai's AI will be integrated into Chamberlain Group's smart cameras, starting with an outdoor camera.
- Investor support: Tony Fadell, iPod creator, backs Plumerai due to his belief in the importance of small, focused teams driving innovation in technology.
- Cost benefits: The on-device AI reduces the need for expensive remote storage and processing, a cost typically passed on to consumers by companies like Ring.
Our thoughts: Plumerai's on-device AI technology is a smart solution to rising privacy concerns and the high costs associated with cloud-based systems. By focusing on "tiny AI" that processes data locally, it reduces energy use and enhances privacy, making it ideal for smart home devices. Backed by Tony Fadell, Plumerai's efficient, scalable approach could disrupt the market, offering a competitive alternative to larger, cloud-reliant systems like Ring and Nest. Their partnership with Chamberlain Group shows this tech's immediate potential for real-world applications in home security.
TRENDING TECHS
🛠 Sieve- AI toolkit for developers working with video.
🧾 Trupeer-Create product videos and guides from a screen recording
🤖 Weights & Biases- Building the future of AI
AI DOJO
Work & Collaboration,
1. AI-Powered Writing Tools
- Overview: AI writing assistants are designed to improve the quality of written communication by providing grammar and style suggestions, enhancing clarity, and streamlining the writing process.
- Examples:
- Grammarly: An AI tool that checks grammar, punctuation, style, and tone. It offers real-time feedback and suggestions for improvement, making it suitable for professional emails, reports, and other documents.
- Jasper (formerly Jarvis): An AI content generation tool that can help users create marketing copy, blog posts, social media updates, and more by understanding prompts and generating relevant content.
- Benefits:
- Increases writing efficiency and reduces errors.
- Helps maintain a consistent tone and style across documents.
- Can assist non-native speakers in writing more fluently.
2. Automated Meeting Notes
- Overview: AI-driven transcription services record and summarize meetings, allowing participants to focus on discussions without the distraction of note-taking.
- Examples:
- Otter.ai: An AI platform that provides real-time transcription of meetings, generating searchable notes with speaker identification and highlights.
- Microsoft Teams: Incorporates AI to transcribe meetings and create summaries, making it easier for users to catch up on missed discussions.
- Benefits:
- Ensures accurate records of meetings without manual effort.
- Allows participants to review key points and action items afterward.
- Saves time by providing searchable and organized meeting summaries.
3. Smart Email Filters
- Overview: AI algorithms enhance email management by prioritizing important messages, categorizing emails, and filtering out spam or less relevant content.
- Examples:
- Gmail: Uses machine learning to classify emails into categories (Primary, Social, Promotions) and highlights important messages. It also offers smart replies and nudges to follow up on unanswered emails.
- Outlook: Features Focused Inbox, which sorts important emails to the top, while the rest are placed in an "Other" tab, making it easier for users to manage their inbox.
- Benefits:
- Reduces inbox clutter, making it easier to focus on critical tasks.
- Saves time spent sorting through emails.
- Helps ensure important communications are not overlooked.
4. Enhanced Collaboration Tools
- Overview: AI enhances collaboration platforms by facilitating communication, project management, and team interactions.
- Examples:
- Slack: Integrates AI features for smart replies, keyword-based notifications, and message summarization, helping teams communicate more effectively.
- Asana: Utilizes AI to suggest task assignments, prioritize workloads, and provide insights into team performance and project progress.
- Benefits:
- Improves team communication and reduces the likelihood of miscommunication.
- Increases project visibility and accountability with data-driven insights.
- Enables more agile project management with real-time updates.
5. Virtual Team Assistants
- Overview: AI-driven virtual assistants can manage schedules, coordinate meetings, and perform administrative tasks, allowing team members to focus on higher-priority work.
- Examples:
- x.ai: A virtual assistant that automates meeting scheduling by finding suitable times for all participants and sending calendar invites.
- Clara: An AI assistant that manages email correspondence, organizes schedules, and follows up on tasks as needed.
- Benefits:
- Reduces the administrative burden on team members.
- Enhances productivity by automating routine tasks.
- Improves scheduling efficiency and reduces conflicts.
6. AI in Project Management
- Overview: AI tools help project managers optimize workflows, predict project timelines, and allocate resources more effectively.
- Examples:
- Monday.com: Offers AI features for task prioritization, deadline predictions, and resource allocation suggestions based on past project data.
- Trello: Integrates AI to suggest card movements based on project progress and team dynamics.
- Benefits:
- Improves project outcomes by enabling data-driven decision-making.
- Enhances resource efficiency and reduces project delays.
- Supports better team collaboration by providing a clear overview of project status.
### 7. Continuous Learning and Skill Development
- Overview: AI-powered platforms can recommend personalized learning paths, courses, and resources for employees to enhance their skills and knowledge.
- Examples:
- Coursera: Uses AI to suggest courses based on user preferences, career goals, and skill gaps, enabling personalized learning experiences.
- LinkedIn Learning: Offers AI-driven recommendations for courses and skill assessments, helping employees stay current in their fields.
- Benefits:
- Supports continuous professional development.
- Helps employees acquire relevant skills aligned with career goals.
- Enhances overall workforce competency and innovation.
Conclusion
AI is revolutionizing work and collaboration by automating routine tasks, enhancing communication, and improving productivity. From AI writing tools to automated meeting notes and smart email filters, these technologies empower individuals and teams to work more efficiently, enabling them to focus on higher-level strategic goals and fostering a more collaborative and productive work environment. As AI continues to advance, we can expect even more innovative solutions to emerge, further transforming how we work and collaborate.
QUICK BYTES
Cisco has made headlines with a significant investment in CoreWeave, valuing the AI cloud computing startup at $23 billion. This move comes as CoreWeave considers an IPO next year and aims to enhance its adoption of NVIDIA's graphics chips for data centers. Cisco, already invested in AI through its recent $1 billion fund and strategic partnerships with various AI startups, continues to focus on integrating AI into its cybersecurity offerings and cloud services. The partnership with CoreWeave is expected to bolster Cisco’s AI capabilities, combining its networking expertise with CoreWeave's AI-centric infrastructure, positioning Cisco as a key player in the evolving AI landscape.
KoBold Metals has made headlines after discovering one of the largest high-grade copper deposits, which could yield hundreds of thousands of metric tons annually. In just eight months, the company is on track to raise over $491 million of a targeted $527 million funding round, aiming for a valuation of $2 billion, up from $1 billion in its previous round. Utilizing artificial intelligence, KoBold sifts through vast data to identify mineral deposits essential for the energy transition, searching for not only copper but also lithium, nickel, and cobalt. With approximately 60 other exploration projects underway, the company plans to develop the significant copper resource in Zambia, with an estimated development cost of $2.3 billion. Notable investors include Bill Gates, Jeff Bezos, and Jack Ma.
Squarespace has launched Design Intelligence, a new website builder that leverages generative AI tools, aiming to enhance the website creation process rather than flood the web with subpar designs. Chief Product Officer Paul Gubbay emphasized that, unlike competitors who rapidly added AI features, Squarespace is focused on using technology to help customers stand out. The platform allows users to customize AI-generated designs, text, and images, creating a more intuitive experience. Gubbay believes that while AI will help improve design quality, it will never replace human designers; instead, it will serve as a tool to enhance creativity and efficiency for both designers and users.
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