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AI Enthusiast Weekly(2024-06-10) : Apple's WWDC 2024 to Introduce AI Enhancements in iOS 18 and iPadOS 18

Apple's WWDC 2024 to Introduce AI Enhancements in iOS 18 and iPadOS 18

Apple's WWDC 2024 signifies a significant transition into AI. The introduction of iOS 18 and iPadOS 18 incorporates generative AI tools, boosting capabilities such as translation and object recognition. This strategic move positions Apple to compete with tech titans like Google and Microsoft, using AI to streamline everyday tasks. There are speculations of a collaboration with OpenAI, suggesting a potential competitive advantage in the AI race.


AI News

2024 Q1: European Smartphone Market Grows 2%, High-End Models and AI Integration Drive Sales

Summary: 2024 Q1: Europe's smartphone market rebounds, up 2% to 331 million units. Led by Samsung (37%), followed by Apple (22%), and Xiaomi (16%). High-end phones (over $800) hit a record 32% share. AI integration gains consumer favor.


  • AI integration: The incorporation of artificial intelligence features in smartphones, enhancing user experience through smarter functionalities like predictive text, voice assistants, and image recognition.

iOS 18 Rumored to Enhance Security and Dark Mode Experience

iOS 18, rumored for unveiling in June 2024, promises enhanced security and usability. Key updates include:

  • App Locking: Users can secure individual apps like Safari or Mail with Face ID or Touch ID, adding a layer of privacy beyond device unlock.
  • Dark Mode Expansion: Apple plans to deepen the dark mode experience, offering a more uniform and visually soothing interface across both native and third-party apps.

These features complement broader AI enhancements, notably in Siri, which is set for significant upgrades. Apple's AI initiative, dubbed "Apple Intelligence," aims to integrate machine learning more deeply into apps like Notes and Safari, enhancing functionality and user interaction.

For instance, the Notes app will incorporate audio recording and transcription, alongside AI-powered summarization, making it a versatile tool for capturing and organizing information. Similarly, the Photos app will introduce AI-driven editing tools, allowing for more sophisticated image manipulation.

Overall, iOS 18 reflects Apple's commitment to blending security, aesthetics, and intelligence, aiming to enrich the user experience through thoughtful, integrated design.


Revolutionary AI-Powered Glasses with Stereoscopic Display

At Stanford, a team led by Gordon Wetzstein has developed glasses that integrate effortlessly into daily attire, yet conceal a groundbreaking display technology. These glasses, appearing unremarkably ordinary, project AI-generated 3D images directly onto standard lenses. The key lies in a nanophotonic metasurface waveguide—a piece of glass embedded with microscopic optical elements that manipulate light.

Unlike current VR and AR headsets, which present a single image to both eyes, these glasses provide a stereoscopic view, closely replicating natural vision. Each eye receives a slightly different image, which significantly enhances the realism of the experience. This technology holds potential beyond immersive gaming; it could assist surgeons in navigating complex procedures or help mechanics with detailed repairs.

The prototype, although not yet tested on humans, weighs less than half of Apple's Vision Pro. Future developments aim for further miniaturization and enhanced power efficiency. This innovation could effectively merge the boundaries between virtual and actual reality, offering a perceptually authentic experience indistinguishable from the real world.


Guangdong plans to exceed 300 billion yuan in AI industry scale by 2027, with a computing power of 60 EFLOPS.

Summary: Guangdong plans to achieve an AI core industry scale exceeding 300 billion yuan by 2025, with computing power reaching 40 EFLOPS. By 2027, the computing power is expected to surpass 60 EFLOPS, establishing a nationwide leading network of algorithms and computing power. The focus will be on developing the AI chip ecosystem and intelligent sensing industries, promoting self-reliant and controllable large-model products.


  • AI Core Industry Scale: Refers to the economic aggregate of the primary industries within the field of artificial intelligence.
  • Computing Power (EFLOPS): A unit measuring the processing capacity of computers, where 1 EFLOPS equals 10^18 floating-point operations per second.
  • AI Chip Ecosystem: Refers to the complete industrial chain formed around AI chips, including design, manufacturing, and application.
  • Intelligent Sensing Industry: Involves industries that utilize sensors and other technologies to achieve environmental perception and data collection.

AI Demand Drives Memory Market Super Cycle, Supply Shortages Expected in 2025

AI Demand Drives Memory Market Super Cycle, Supply Shortages Expected in 2025 AI Demand Drives Memory Market Super Cycle, Supply Shortages Expected in 2025 AI Demand Drives Memory Market Super Cycle, Supply Shortages Expected in 2025

Summary: The memory market is on the brink of a "super cycle" driven by the escalating demand for AI and insufficient capital investments over the past two years. This supply-demand imbalance is projected to reach its zenith in 2025, with DRAM and HBM (High Bandwidth Memory) experiencing substantial shortages. HBM, a specialized DRAM variant tailored for high-performance computing, is anticipated to see its demand soar, possibly constituting 30% of total DRAM usage.

The absence of new manufacturing facilities and the decline in capital expenditure since 2022 have intensified the supply shortage. Memory product prices are expected to escalate dramatically, with HBM and server DRAM spearheading the price hike. Companies such as SK Hynix and Samsung, strategically positioned in the market, are likely to reap significant benefits, with their market shares and profitability poised for growth.

Insights: This cycle diverges from historical trends due to the unique surge in demand from AI applications and the underinvestment in capacity expansion. The transition towards HBM, which demands more wafer capacity per bit and has lower production yields, further exacerbates the supply challenges. As customers prioritize securing supply over price, the fundamental dynamics of the memory market are shifting, favoring entities with strong production capabilities.


  • DRAM (Dynamic Random-Access Memory): A type of memory commonly used in computers and other devices for temporary data storage.
  • HBM (High Bandwidth Memory): A high-performance variant of DRAM that utilizes stacked memory chips, primarily employed in advanced computing systems such as AI servers.
  • Capital Expenditure (CapEx): The funds utilized by a company to acquire, upgrade, or maintain physical assets like factories, machinery, or equipment.
  • Wafer: A thin slice of semiconductor material used in the production of integrated circuits.


Microsoft Edge Introduces AI-Generated Workspaces with Bing Integration

Microsoft Edge Introduces AI-Generated Workspaces with Bing Integration Microsoft Edge Introduces AI-Generated Workspaces with Bing Integration

Microsoft Edge now integrates AI to create specialized workspaces based on Bing searches. This experimental feature allows users to generate a workspace with relevant tabs for specific queries like recipes or DIY projects. Privacy is assured as no search data is stored. To use, enable the feature in Edge and restart the browser.

  • Edge Workspaces: A feature in Microsoft Edge that lets users share a browser session with others, now enhanced with AI to automatically populate relevant websites based on search queries.
  • AI-generated workspaces: A new capability where AI in Bing suggests and opens multiple relevant websites in a dedicated workspace, triggered by specific search queries.

Apple's WWDC 2024: AI Integration and Software Updates

Apple's WWDC 2024: AI Integration and Software Updates Apple's WWDC 2024: AI Integration and Software Updates

Apple's WWDC 2024, themed "Coming in swiftly," promises a significant focus on AI integration across its ecosystem. The anticipated iOS 18 update, among others, aims to enhance user interaction with features like customizable control centers and AI-powered tools for tasks such as voice transcription and image editing. Notably, Apple plans to integrate OpenAI's ChatGPT and potentially Google's Gemini model, reflecting a strategic approach to AI partnerships.

The update also introduces RCS support, aiming to improve cross-platform communication. Siri, though not fully AI-enhanced until 2025, will see improvements in natural language processing. Across devices, from macOS to watchOS, updates are tailored to refine user experiences, emphasizing personalization and performance.

Apple's Vision Pro, recently cleared for the Chinese market, may see updates with generative AI, potentially revolutionizing AR/VR interactions. Despite hardware rumors, the event will primarily spotlight software advancements, underscoring Apple's commitment to enhancing its digital ecosystem through AI.


GPT-4 Demonstrates Ability to Exploit Zero-Day Vulnerabilities

GPT-4 Demonstrates Ability to Exploit Zero-Day Vulnerabilities GPT-4 Demonstrates Ability to Exploit Zero-Day Vulnerabilities GPT-4 Demonstrates Ability to Exploit Zero-Day Vulnerabilities GPT-4 Demonstrates Ability to Exploit Zero-Day Vulnerabilities GPT-4 Demonstrates Ability to Exploit Zero-Day Vulnerabilities

Researchers utilized GPT-4 to uncover and exploit previously unknown "zero-day" vulnerabilities, successfully compromising over half of the tested websites. This approach, which employs autonomous bots, outperforms traditional single-agent methods by a staggering 550%. Despite concerns, GPT-4, when operating in chatbot mode, does not possess the comprehension necessary to independently exploit these vulnerabilities.


AI Startup Cohere Raises $4.5 Billion in Funding, Signaling Continued AI Investment Boom

AI Startup Cohere Raises $4.5 Billion in Funding, Signaling Continued AI Investment Boom

Cohere, an AI startup, recently secured $4.5 billion in funding, backed by tech giants like Nvidia and Cisco. This investment surge follows the AI boom sparked by ChatGPT, highlighting a trend where AI companies, despite not yet profitable, attract significant capital.

Founded in 2019 by former Google scientist Aidan Gomez, Cohere specializes in AI models tailored for business applications, such as content creation and data analysis. Its unique approach lies in its neutrality regarding cloud service providers, allowing flexibility for clients and avoiding exclusive partnerships seen with competitors like OpenAI, which heavily relies on Microsoft.

The company's strategy seems to pay off, with a reported annual revenue of $35 million, a substantial increase from the previous year. Cohere's ability to integrate seamlessly with various cloud platforms enhances its appeal, offering businesses tailored AI solutions without vendor lock-in.

Despite the optimism, the AI industry faces challenges, including proving long-term viability and addressing concerns like accuracy and bias. Cohere's success in this competitive landscape suggests a promising future, but the ultimate test lies in its ability to sustain growth and deliver on its technological promises.


Fire Ants' Raft Formation Inspires Resilient Material Design

Fire Ants' Raft Formation Inspires Resilient Material Design

Summary: New research at Binghamton University investigates how fire ants form rafts to survive floods. By clinging together, these ants create a buoyant structure that floats on water. Led by Rob Wagner, the study uncovers a unique "catch-bond" behavior where ant bonds strengthen under stress, unlike typical materials that weaken. This adaptability could inspire new materials that self-reinforce under mechanical stress, potentially benefiting fields like biomedicine and robotics.


  • Catch-bond behavior: This phenomenon describes how bonds between molecules or entities (in this case, ants) become stronger when subjected to pulling forces, contrary to most materials where bonds typically weaken under stress.
  • Biomedical implants and soft robotics: These are fields where materials must withstand varying mechanical stresses. Biomedical implants are devices placed inside the body, and soft robotics involves creating robots from flexible, elastic materials.

Insights: The resilience of fire ants in forming rafts under duress offers a profound lesson in adaptability and collective survival. Wagner's research not only highlights the potential of biomimicry in engineering but also underscores the complexity of natural systems, which often outperform engineered materials. This study could pave the way for smarter, more resilient materials that mimic the self-reinforcing mechanisms found in nature.


Tsinghua University's Ultraman Algorithm Revolutionizes 3D Modeling for Virtual Try-Ons

Tsinghua University's Ultraman Algorithm Revolutionizes 3D Modeling for Virtual Try-Ons


A team led by Professor Zhao Hao at Tsinghua University has developed Ultraman, a groundbreaking algorithm that swiftly transforms a single 2D image into a detailed 3D human model. This innovation combines deep learning with advanced image processing techniques, significantly reducing the time required for 3D reconstruction. Ultraman excels in capturing intricate details of clothing and human movement, making it invaluable for virtual try-ons in fashion retail, enhancing 3D character creation in entertainment, and aiding in personalized health and fitness programs.

Key Concepts Explained:

  • 3D Reconstruction: The process of creating a three-dimensional representation of an object from a two-dimensional image or a series of images.
  • Deep Learning: A subset of machine learning that uses neural networks with many layers (hence "deep") to analyze various types of data, including images, for complex tasks like pattern recognition.
  • Virtual Try-On: A technology that allows users to see how clothing would look on them without physically trying it on, typically using augmented reality or 3D modeling.


Ultraman's development marks a significant leap in digital realism, merging the virtual and physical worlds seamlessly. Its applications extend beyond mere convenience; they promise to revolutionize how we interact with digital content, from shopping to entertainment, and even healthcare. The potential for real-time 3D modeling opens new frontiers in user interaction and personalization, suggesting a future where technology adapts to us, rather than the other way around.


Innovative Digital Twin Technology for Enhanced Cardiac Diagnosis and Treatment

Innovative Digital Twin Technology for Enhanced Cardiac Diagnosis and Treatment

Recent advancements in digital twin technology, led by Assistant Professor Lei Shi and colleagues at Kennesaw State University, have revolutionized cardiac mechanics modeling. By integrating an inverse finite element analysis (iFEA) framework with real-time medical imaging, they've enhanced the estimation of heart tissue's mechanical properties.

Key Innovations:

  1. Dynamic Image Processing: Traditional models relied on static images, limiting their utility with dynamic data. The new approach adeptly handles time-series images, crucial for capturing the heart's dynamic nature.
  2. Inverse Problem Solving: Unlike conventional models that predict heart behavior from known physical properties, this research uses medical images to infer these properties, offering a more personalized approach.

Potential Applications:

  • Personalized Diagnosis and Treatment: Enables precise diagnosis and tailored treatment plans for heart conditions.
  • Surgical Simulation: Aids in pre-surgical planning, enhancing accuracy and safety.
  • Drug Development: Accelerates the evaluation and development of cardiac medications.
  • Health Monitoring: Facilitates early detection of heart issues through continuous monitoring.
  • Education and Training: Provides virtual surgical environments for medical training.
  • Patient-Specific Management: Offers tailored treatment strategies and prognostic assessments.

Future Directions:

  • Integration of Advanced AI: Incorporating deep learning and graph neural networks to refine parameter estimation and model efficiency.
  • Broader Medical Applications: Extending the technology to other areas like skeletal and brain tissue analysis.
  • Intelligent Modeling: Developing smarter models for rapid, accurate predictions in clinical settings.
  • Cross-Disciplinary Collaboration: Enhancing medical applications through partnerships with engineering and computer science.
  • Clinical Validation: Ensuring the practical efficacy of these models in real-world medical scenarios.

Insight: This breakthrough not only propels personalized medicine forward but also underscores the transformative potential of interdisciplinary research in healthcare. By bridging mechanics, biology, and computational sciences, it paves the way for more effective, patient-centered care.



Seamless Movement Transfer: MotionFollower's Video Action Replication Tool

MotionFollower: A tool that transfers movements from one video to another, preserving the original's background and appearance. It copies actions, like dance, from one person to another in a different video. Simple, effective, seamless.


"Enhancing Business Knowledge Retrieval with AI-Powered RAG Systems and LLMs"

AI agents enhance interactions with knowledge bases, simplifying the business application of Large Language Models (LLMs). RAG systems, empowered by AI, enable efficient knowledge retrieval. LLM refers to a sophisticated AI capable of processing and generating human-like text.


"Monica AI Chrome Extension: Over 2 Million Installs, Showcasing Chinese Tech Prowess"

'Monica AI Chrome Extension: Over 2 Million Installs, Showcasing Chinese Tech Prowess'

Monica, a top-ranked AI product from China, has surpassed 2 million installations as a Chrome extension. This tool showcases the increasing strength of domestic technology in the global market.

Chrome extension: A software add-on for the Google Chrome browser that enhances its functionality.


"Notta: Advanced Bilingual Meeting Transcription and Translation Solution"

'Notta: Advanced Bilingual Meeting Transcription and Translation Solution'

Notta excels in recording and transcribing meetings. Its latest feature handles bilingual meetings, transcribing and translating simultaneously. Ideal for multilingual gatherings.


"META AI's 'Animated Drawings' Tool: Turning Kids' Sketches into Animations"

An AI tool, "Animated Drawings," transforms children's sketches into animated figures. Developed by META AI, it's a free, experimental tool with commercial potential. Available at


"AI-Powered Image Tool for Digital Face and Clothing Swapping"

'AI-Powered Image Tool for Digital Face and Clothing Swapping'

Summary: The article introduces an AI tool for online face and clothing swapping. This technology allows users to alter images by replacing faces and outfits digitally.

Explanation: AI tool: A software application that uses artificial intelligence to perform tasks, in this case, image manipulation. Face and clothing swapping: The process of changing the appearance of a person in an image by replacing their face or clothes with different ones.


"Ali Thousand Questions 2" offers free access to 300 million tokens, opening up new opportunities in the digital economy.

'Ali Thousand Questions 2' offers free access to 300 million tokens, opening up new opportunities in the digital economy.

"Ali Qianwen 2" has been released, offering free access to 300 million tokens. In this context, a token refers to a unit of data in a digital transaction. This offer provides extensive, costless access to data processing capabilities. A significant move in the digital economy, it opens up vast opportunities for users.




Twitter: AI at Meta

Built with Meta Llama, FoondaMate is a rapidly expanding, continuously available study aid for students. The flexibility and open ecosystem surrounding Llama are enabling the team to make a more significant impact for the 3 million students currently utilizing the tool in emerging markets today. Check it out at

Social Media Comments

  1. Unveiled at #VivaTech, the HONOR AI Portrait enhances your photography with a single click! 📸✨@honorglobal @honor_fr —— Viva Technology

  2. I recently discovered this in-browser AI/ML library's a collection of AI/ML models that focus on specific tasks and can run on many browsers (utilizing either CPU or GPU if available)It's not "one model for everything" but it's way better than WebLLM —— Minh-Phuc Tran

  3. 🚨 The Throwflame Thermonator, the first flame-throwing robot dog, is now available for $9420. This quadruped robot boasts a flame-throwing range of 30 feet, is controllable via smartphone, and comes equipped with a one-hour battery, lidar mapping, and an onboard camera. Potential applications include wildfire control, agricultural management, entertainment, and world domination. Source: Ars Technica. —— Will

  4. Thanks Ashok! Ashok was the first person to join the Tesla AI/Autopilot team and ultimately rose to lead all AI/Autopilot software. Without him and our awesome team, we would just be another car company looking for an autonomy supplier that doesn’t exist. Btw, I never…Ashok Elluswamy: —— Elon Musk

  5. Mark Gurman: Power On: Apple's AI initiative is less about enhancing its current devices and more about paving the way for its next generation of hardware, ranging from AR glasses to AirPods equipped with cameras, and potentially even humanoid robots and beyond. —— Ryan Morrison

  6. This chart illustrates the metrics and framework for RAG (Retrieval-Augmented Generation) evaluation, divided into three main sections: Retrieval, Generation/Hallucination, and End-to-End. The evaluation metrics for the Retrieval section include Recall, Mean Reciprocal Rank (MRR), and Mean Average Precision (MAP). The Generation/Hallucination section features three types of evaluation: n-gram-based assessments such as BLEU, ROUGE, and METEOR. —— Y11

  1. Adobe has updated its terms of service to allow the use of cloud-stored content for AI training by default. This has prompted some creators to start using Nightshade as a countermeasure. Nightshade is a defense mechanism specifically designed to combat unauthorized use of AI technology. Essentially, it involves embedding "poison" into your data; if someone uses this data without permission to train their AI model, the model will be misled and its performance will degrade.

Eduardo Valdés-Hevia 👁️: I don't use Adobe's Creative Cloud because I prefer keeping my files locally. However, given their stance on using any uploaded content for AI training, I'm filling my entire 20 GB storage with random Nightshade-poisoned images. I encourage others to do the same! —— 北火