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- 🤖 CES 2024
🤖 CES 2024
PLUS: Revolutionizing Robot Training: Google's Latest Techniques with Video and Language Models
Hyrise AI
January 05, 2024
Welcome, AI Enthusiasts.
CES, a significant consumer electronics expo, marks a pivotal moment for tech companies as they vie for attention and set the tone for the year ahead. While large exhibitors have often saved major announcements for independent events, this shift has opened doors for startups seeking visibility.
In 2024, the fusion of generative AI and robotics promises groundbreaking advancements, explored by Google's DeepMind Robotics team.
In today’s issue:
🤖 Tech Unveiled: Nvidia, Samsung, and More Showcase Hardware and AI Innovations at CES 2024
🦾 Revolutionizing Robot Training: Google's Latest Techniques with Video and Language Models
🛠️ 3 New AI tools
💻 Custom prompts ChatGPT and DALL-E 3
🤖 3 Quick AI updates
Read time: 5 minutes.
LATEST HIGHLIGHTS
Image source: TechCrunch
To recap: CES, a significant consumer electronics expo, marks a pivotal moment for tech companies as they vie for attention and set the tone for the year ahead. While large exhibitors have often saved major announcements for independent events, this shift has opened doors for startups seeking visibility. The event provides a crucial opportunity for face-to-face interactions, especially for hardware startups at Eureka Park. Despite challenges, CES remains a crucial platform for innovation and trends, with this year poised to showcase generative AI's influence on hardware products, robotics advancements, automotive displays, health tech, and the looming presence of major players like Nvidia. The event runs from January 9-12, with anticipation building around significant releases and trends.
The details:
CES Positioning: CES serves as a key platform for tech companies to assert themselves as innovators for the upcoming year, strategically timed after the holiday season, allowing them to showcase their latest offerings.
Startup Opportunities: The event has evolved to be more inclusive, providing startups a chance to gain visibility among industry leaders, journalists, and distributors, particularly through areas like Eureka Park.
Tech Trends: Anticipated trends for CES 2024 include the prominence of generative AI in hardware products, robotics innovations, automotive showcases, health tech advancements, and the expected releases and presentations from major tech players like Nvidia.
Here is the key takeaway: CES 2024 is that the event continues to serve as a pivotal stage for tech companies to showcase innovations and trends for the coming year. This year's focus is anticipated to revolve around generative AI in hardware products, robotics advancements, automotive showcases, health tech innovations, and major announcements from industry giants. Additionally, the event's inclusive nature has opened avenues for startups to gain exposure among industry leaders.
Image source: Unsplash
In Summary: In 2024, the fusion of generative AI and robotics promises groundbreaking advancements, explored by Google's DeepMind Robotics team. Their latest blog highlights ongoing research to enhance robots' understanding of human intentions. AutoRT, utilizing large language and visual models, orchestrates robot fleets for diverse tasks, while RT-Trajectory uses video overlays to improve robotic learning, doubling success rates in testing. These innovations aim to create more adaptive, responsive robots capable of understanding natural language commands and learning from existing datasets, marking a significant leap in robotics capabilities.
Key points:
Generative AI and Robotics Intersection: 2024 heralds a significant year for merging generative AI with robotics, generating considerable excitement for diverse applications from learning mechanisms to product design.
DeepMind Robotics Advancements: Google's DeepMind Robotics researchers focus on understanding human requirements for robots, introducing AutoRT and RT-Trajectory as pivotal tools in this pursuit.
AutoRT's Functionality: AutoRT leverages large language and visual models to coordinate robot fleets, enhancing situational awareness and task allocation through natural language processing, advancing robots beyond singular-task limitations.
RT-Trajectory for Enhanced Learning: Utilizing video inputs, specifically overlaying 2D sketches on videos, RT-Trajectory significantly improves robotic learning, doubling success rates compared to prior methods and unlocking untapped potential in existing datasets for efficient robotic movements.
Our thoughts: The intersection of generative AI and robotics is a fascinating frontier. Google's DeepMind Robotics advances with AutoRT and RT-Trajectory signal a promising shift. AutoRT's ability to leverage language and visual models opens doors for versatile robotic capabilities, reducing reliance on single-task robots. RT-Trajectory's success in enhancing learning through video inputs underscores its potential for more efficient and accurate robotic movements. It's a pivotal step towards robots understanding and executing tasks with greater adaptability, potentially revolutionizing how we perceive and interact with robotic systems.
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AI DOJO
Custom ChatGPT and DALL-E 3
Experiment and Explore: Play around with different prompts, styles, and tones to understand ChatGPT's capabilities better. It can handle various topics and styles, so experimentation can lead to discovering its range.
DALL-E 3
Explore Different Formats: DALL·E can generate a variety of images based on different formats or concepts. Experiment with inputs related to sketches, textual descriptions, or even specific styles to see diverse outputs.
QUICK BYTES
OpenAI is gearing up to introduce the GPT Store, a marketplace for custom text-generating AI models like GPT-4, slated for launch next week. Developers must adhere to updated policies and brand guidelines to list their GPTs in this store, which was announced last year but delayed likely due to leadership changes. These GPTs, requiring no coding expertise, allow for tailored applications, from answering recipe queries to working with codebases. The store's payment structure and revenue-sharing plans remain undisclosed, signifying OpenAI's transition towards a platform that could reshape AI app development and potentially challenge consultancy models specializing in similar AI creation.
Perplexity AI, a newcomer in AI-powered search, secures a $73.6 million funding round led by IVP, valuing the startup at $520 million post-money. Founded by a team with diverse engineering backgrounds, the platform offers a chatbot-style interface for natural language queries, providing summarized answers with source citations. It enables users to switch between various GenAI models and offers features like image generation, search customization, and AI model uploads. The platform's differentiation lies in its advanced search filters and plans to provide its GenAI models via API. However, concerns about the sustainability of GenAI models, their costliness, potential misuse, and copyright issues pose challenges. Despite uncertainties, investors are optimistic about Perplexity's potential to revolutionize AI-driven search.
Intel is launching Articul8 AI, a new enterprise-focused GenAI software company, as part of its larger push into AI-powered enterprise software. Backed by DigitalBridge, this spinout comes from a proof-of-concept collaboration with Boston Consulting Group (BCG). Articul8's software is designed for enterprises in various sectors, emphasizing security, scalability, and flexibility in deployment. The platform was optimized for Intel hardware but also supports alternatives. Led by former Intel executives, this move aligns with Intel's strategy to compete with rivals like Nvidia and AMD by delivering innovative software products alongside advanced chip manufacturing.
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