šŸ¤– Samsung’s New Galaxy Ring

PLUS: Skild AI Raises $300M to Build ā€œGeneral-Purpose Brain,ā€ Do We Overestimate Reasoning Skills of LLMs?

Welcome back AI enthusiasts!

In today’s AI Report:

  • šŸ’Samsung’s New Galaxy Ring

  • 🧠Skild AI Raises $300M to Build ā€œGeneral-Purpose Brainā€

  • šŸ’­Do We Overestimate Reasoning Skills of LLMs?

  • šŸ› 5 Trending Tools

  • šŸ’°Venture Capital Updates

  • šŸ’¼Who’s Hiring?

Read Time: 3 minutes

šŸ—žRECENT NEWS

SAMSUNG

šŸ’Samsung’s New Galaxy Ring

Image Source: TECHEBLOG/Samsung’s New Galaxy Ring Screenshot

At Galaxy Unpacked 2024, Samsung unveiled the new Galaxy Ring, Galaxy Watch7 and Galaxy Watch Ultra, AI-powered wearables that offer end-to-end wellness experiences.

Key Details:
  • Galaxy AI is a suite of AI tools for Samsung devices that combines on-device AI developed by Samsung with cloud-based AI from industry partners.

  • The Galaxy Z Fold6 and Galaxy Z Flip6 gained new Galaxy AI capabilities, including:

    1. Interpreter and Live Translate for real-time translation.

    2. AI-powered ProVisual Engine for advanced photo capture and editing.

    3. Note Assist, Composer, and Sketch-to-Image for streamlined note-taking.

    4. Portrait Studio for generating AI-powered avatars from your selfies.

    5. Built-in Google Gemini integrations for AI-powered search functions across apps.

  • The New Galaxy Ring, Galaxy Watch7, and Galaxy Watch Ultra feature AI-enabled health monitoring for sleep apnea detection and diabetes tracking.

  • The Energy Score feature shows how your health impacts your daily life by evaluating your sleep, activity levels, and heart rate variability.

Why It’s Important:
  • Samsung’s new Galaxy Ring is poised to be a serious new player in the competitive health wearable market.

  • Samsung is slowly implementing AI add-ons into its existing smartphone offerings to improve the Android ecosystem.

🚨Watch Marques Brownlee review the new Galaxy Unpacked 2024 gadgets here.

SKILD AI

🧠Skild AI Raises $300M to Build ā€œGeneral-Purpose Brainā€

Image Source: Canva AI Image Generator

Skild AI emerged from stealth with a massive $300M Series A to build a ā€œgeneral-purpose brainā€ for robots.

Key Details:
  • Skild AI’s foundational AI model is trained on a massive dataset of real-world robotic scenarios that involve:

    1. Manipulation: How to grasp, move, and interact with objects.

    2. Locomotion: Movement strategies for different robot types (e.g., wheel, legs, etc.).

    3. Navigation/Vision: Surveying the relative locations of objects to perceive surroundings.

  • As opposed to vertically designed robots built for specific applications, Skild AI’s foundational AI model serves as a ā€œgeneral-purpose brainā€ to make any robot thrive in multiple environments and handle complex tasks.

  • ā€œWe can expand the capabilities of robots, democratize their cost, and support the severely understaffed labor market,ā€ said Abhinav Gupta, President and Co-Founder of Skild AI.

Why It’s Important:
  • There’s a massive labor shortage in America today, with more than 1.7 million jobs available than there are unemployed workers.

  • Industries such as healthcare, construction, warehousing, and manufacturing are among the most impacted; experts project there will be 2.1 million unfulfilled manufacturing jobs by 2030.

  • Skild AI’s ā€œgeneral-purpose brainā€ makes any robot adapt and perform novel tasks alongside humans.

🩺 PULSE CHECK

What industry will benefit the most from Skild AI’s ā€œgeneral-purpose brainā€?

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AI RESEARCH

šŸ’­Do We Overestimate Reasoning Skills of LLMs?

MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) conducted a study examining how Large Language Models (LLMs) perform on various unseen tasks.

The study compared ā€œdefault tasksā€ (i.e., the common tasks an LLM is trained on) with ā€œcounterfactual scenariosā€ (i.e., hypothetical situations deviating from default conditions) to reveal if LLMs are memorizing patterns or deploying reasoning skills.

MIT’s CSAIL used various tailored datasets and benchmarks to assess popular AI models such as OpenAI’s GPT-4 and Anthropic’s Claude 3. The study uncovered significant ā€œoverfittingā€ on popular LLMs, reinforcing the growing concern of dataset contamination.

ā€œOverfittingā€ refers to LLMs memorizing specific problems from benchmarks instead of learning general problem-solving skills to apply concepts and perform well on unseen data.

ā€œLLMs excel in familiar scenarios, almost like a well-worn path, but struggle when the terrain gets unfamiliar,ā€ said Zhaofeng Wu, an MIT PhD student in Electrical Engineering.

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šŸ”®Browse our always Up-To-Date AI Tools Database.

šŸ’°VENTURE CAPITAL UPDATES

  • Exein raises a $15M Series B to stop robotic arms from going haywire.

  • Defense AI startup Helsing raises a $487M Series C to combat Russian threats.

  • Medal raises $13M in Funding at a $333M valuation to build contextual AI assistants for desktops.

šŸ’¼WHO’S HIRING?

  • Tesla (Palo Alto, CA): Reinforcement Learning Engineer, Tesla Bot, Fall 2024

  • GPTZero (New York City, NY): Machine Learning (ML) Intern, Summer 2025

  • Minware (Remote): Junior Back End Engineer, New Grad

  • Shortbread (San Francisco, CA): Founding Engineer

  • Waymo (Los Angeles, CA): Fleet Integration/Operations Intelligence, Program Manager

šŸ¤–PROMPT OF THE DAY

CUSTOMERS

šŸ“ŠCustomer Personalization

Discuss how AI can revolutionize customer personalization strategies for [Business] with [Product/Service] in [Industry].

Consider the benefits of AI-driven insights, such as predictive analytics and real-time recommendations, in creating tailored experiences.

Business = [Insert Here]

Product/Service = [Insert Here]

Industry = [Insert Here]

šŸ“’FINAL NOTE

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