BLOGS
TikTok Enables Users to Create Their Own AI Voiceover Voice
Published Aug. 25, 2024 in SocialMediaToday by Andrew Hutchinson. Original article
TikTok’s now enabling users to create AI simulations of their own voice in the app, so that you can voice over your TikTok clips with your own digital voice, as opposed to the generic template speakers in the app.
New startup to create a secret AI device
Please check ORIGINAL ARTICLE TechStartup Sep 24 2024
Business Insider has also reported that Laurene Powell Jobs, widow of the late Steve Jobs, is joining the duo in this venture to create an AI-centric device. The aim is to design a product that offers a computing experience “less socially disruptive than the iPhone.”
Exclusive: OpenAI to remove non-profit control and give Sam Altman equity
ORIGINAL Article by Krystal Hu and Kenrick Cai in Reuters on Sep 26 2024
SAN FRANCISCO, Sept 25 (Reuters) – ChatGPT-maker OpenAI is working on a plan to restructure its core business into a for-profit benefit corporation that will no longer be controlled by its non-profit board, people familiar with the matter told Reuters, in a move that will make the company more attractive to investors.
The Nobel Prize in Physics 2024
Please check ORIGINAL ARTICLE in NOBELPRIZE.ORG
The Nobel Prize in Physics 2024 was awarded jointly to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks”
AI in Everyday Life
Artificial Intelligence (AI) isn’t just a futuristic concept confined to science fiction; it’s a transformative technology embedded in our daily lives. AI systems significantly influence our routines and decisions from the moment we wake up, throughout our workday, and until we go to sleep. Let’s explore some ways AI impacts and enhances our everyday existence.
AI in Home and Daily Activities
Smart Assistants
One of the most visible applications of AI in our homes is through smart assistants like Amazon’s Alexa, Google Assistant, and Apple’s Siri. These voice-activated systems can perform various tasks including playing music, setting reminders, controlling smart home devices, and providing weather updates. They utilize natural language processing (NLP) to understand and respond to user commands, making our lives more convenient and connected.
Smart Home Devices
AI also plays a central role in smart home ecosystems. Devices like smart thermostats (e.g., Nest), smart lights, and security systems learn from user behaviors and preferences to optimize energy usage and enhance security. For instance, a smart thermostat can learn your schedule and temperature preferences, adjusting the heating and cooling to save energy and maintain comfort.
Personal Finance Management
AI-driven applications like Mint, ClickUp, and Makroaxis help manage personal finances by providing insights into spending patterns, budgeting advice, and investment recommendations. By analyzing financial data, these tools can alert users to unusual spending, suggest savings opportunities, and automate financial planning tasks.
AI in Health and Wellbeing
Wearable Technology
Devices like Fitbits, Apple Watches, and other wearable technology utilize AI algorithms to monitor health metrics such as heart rate, sleep patterns, physical activity, etc. These devices provide personalized health insights and recommendations by analyzing this data and encouraging users to maintain a healthy lifestyle.
Virtual Health Assistants
AI-powered virtual health assistants, such as Doc.us, Keyreply, or ADA, offer healthcare support by providing medical information, symptom checking, and emotional well-being support. These assistants use machine learning to provide users with tailored advice and can help bridge gaps in healthcare access by offering reliable information and support around the clock.
Medication Management
Applications like Medisafe, DrFirst, etc. use AI to help patients manage their medication schedules, reminding them when to take their medicine and alerting them of potential drug interactions. These applications enhance medication consistency and contribute to better health outcomes.
Introduction to Artificial Intelligence
Artificial Intelligence (AI) is no longer a futuristic concept confined to the realms of science fiction. It’s a dynamic technology. It’s transforming our lives in many ways: how we work, our social life, interaction with the world around us.
Definition and Brief History of AI
Artificial Intelligence refers to developing computer systems, able to perform tasks that typically require human intelligence. These tasks include learning, problem-solving, reasoning, perception, and language understanding. Coined in 1956 by John McCarthy, the term “Artificial Intelligence” launched a field of study that has grown exponentially over the decades.
The early days of AI research were marked by optimism and ambition, as pioneers like Alan Turing laid the groundwork with concepts such as the Turing Test. It measures a machine’s ability to display intelligent behavior, indistinguishable from humans. Despite periods of slowed progress, known as “AI winters,” advancements in calculational power and technology improvement have reignited AI development. These led to the practical and indisputable applications we see today.
The Importance and Relevance of AI Today
Artificial Intelligence (AI) is changing industries and societies around the world. It’s making things more efficient, sparking new ideas, and solving tough problems. Here’s why understanding AI matters today.
Boosting Efficiency and Innovation
AI helps improve efficiency and encourages new ideas in various areas. For example, in healthcare, AI helps with illness diagnostics. It also can create personalized treatment plans. By analyzing lots of data, AI can find patterns healthcare professionals might miss, leading to better care.
In finance, AI helps make smarter investment decisions through predictive analytics. This data-driven approach reduces risks and boosts profits.
AI in Our Daily Lives
AI is part of our everyday lives, often without us noticing. Smart assistants like Siri and Alexa help us manage tasks, set reminders, and find information quickly, making life easier.
Key AI Concepts
To understand AI, it’s important to know some basic concepts:
- Machine Learning (ML): A part of AI where algorithms learn from data to make predictions or decisions.
- Deep Learning: A type of ML that uses complex neural networks to process large amounts of data.
- Natural Language Processing (NLP): Helps machines understand and respond to human language.
- Computer Vision: Enables computers to interpret visual information from the world.
- Neural Networks: Algorithms inspired by the human brain, used to recognize patterns in data.
Clearing Up AI Myths
AI is often misunderstood. Here are some myths cleared up:
- AI Will Replace Humans: AI is designed to help humans, not replace them. Most AI tools need human oversight and work alongside people.
- AI is Perfect: AI systems are only as good as the data they learn from. They can make mistakes and carry biases, so they need ongoing improvement.
- AI Understands Everything: AI doesn’t have consciousness. It works within the limits of its programming and the data it is trained on.
Conclusion
Learning the basics of AI, including its history and core concepts, is a great starting point. Understanding its possibilities and limits is important as AI becomes a bigger part of our lives. This knowledge opens up new opportunities for innovation and improvement in many fields.
AI in Transportation
Artificial Intelligence (AI) is making big changes in how we get around. Here are some cool ways AI is used in transportation today!
Ride-Sharing Services Have you ever used Uber or Lyft to get a ride? These services use AI to make things run smoothly. AI helps by:
Optimizing Ride Requests: When you request a ride, AI finds the nearest available driver so you don’t have to wait long.
Route Forecasting: AI looks at traffic conditions and finds the fastest route for your driver.Dynamic Pricing: Prices go up when many people need rides simultaneously. AI helps set these prices by looking at how many drivers and riders are out there.
Autonomous Vehicles Self-driving cars are another amazing use of AI. Companies like Tesla and Waymo are leading the way in making cars that can drive themselves. Here’s how they work:Sensors and Cameras: These cars are packed with sensors and cameras that collect data about the surroundings.
Data Processing: AI takes all this data and helps the car understand where it is, what other vehicles and people are doing, and where it needs to go.
Driving Decisions: AI makes decisions to navigate safely and efficiently. This includes steering, braking, and accelerating.
Traffic Management AI is also helping cities manage traffic better. Here are a few ways it does this:
Analyzing Traffic Patterns: AI monitors how cars move through the city to understand traffic patterns.
IBM DEBUTS AI-POWERED THREAT DETECTION TOOL
IBM has added generative artificial intelligence (AI) capabilities to its managed threat detection and response services.
Built on the company’s watsonx data and AI platform, the new IBM Consulting Cybersecurity Assistant is designed to speed and improve the identification, investigation and response to critical security threats, IBM announced Monday (Aug. 5).
“As cyber incidents evolve from immediate crises to multi-dimensional and months-long events, security teams are facing the enduring challenge of too many attacks and not enough time or people to defend against them,” said Mark Hughes, global managing partner of cybersecurity services, IBM Consulting.
“By enhancing our Threat Detection and Response services with generative AI, we can reduce manual investigations and operational tasks for security analysts, empowering them to respond more proactively and precisely to critical threats, and helping to improve overall security posture for clients,” Hughes added
Check full article:
https://www.pymnts.com/news/security-and-risk/2024/ibm-debuts-ai-powered-threat-detection-tools/.
NVIDIA’s AI team reportedly scraped YouTube, and Netflix videos without permission
In the latest example of a troubling industry pattern, NVIDIA appears to have scraped troves of copyrighted content for AI training. On Monday, 404 Media’s Samantha Cole reported that the $2.4 trillion company asked workers to download videos from YouTube, Netflix, and other datasets to develop commercial AI projects. The graphics card maker is among the tech companies appearing to have adopted a “move fast and break things” ethos as they race to establish dominance in this feverish, too-often-shameful AI gold rush.
The training was reportedly to develop models for products like its Omniverse 3D world generator, self-driving car systems and “digital human” efforts.
Check the full article:
Elon Musk’s artificial intelligence startup xAI launched a beta version of its latest AI assistant Grok 2 Wednesday, adding an image generation tool similar to OpenAI’s DALL-E and Google’s Gemini, but with apparently fewer restrictions on the types of images that can be generated.
How Meta animates AI-generated images at scale
We launched Meta AI with the goal of giving people new ways to be more productive and unlock their creativity with generative AI (GenAI). But GenAI also comes with challenges of scale. As we deploy new GenAI technologies at Meta, we also focus on delivering these services to people as quickly and efficiently as possible