Nvidia, Scale AI Drive $124 Billion AI Market Growth

Several developments are shaping the AI landscape. In Pittsburgh, Governor Josh Shapiro and Senator Dave McCormick will host the AI Horizons Summit in September, focusing on "Physical AI," which combines AI with physical systems. Joanna Doven, director of Pittsburgh’s AI Strike Team, estimates this market could reach $124 billion by 2030. The summit will also feature startups competing for over $100,000 in prize money. Slingshot Aerospace is using its AI tool TALOS to train the Space Force for satellite operations, simulating realistic space combat scenarios. Meanwhile, AI coding tools are improving code quality and developer satisfaction, according to Andreessen Horowitz. Stanford researchers are focused on creating fair and trustworthy AI systems by addressing biases in training data. In video analytics, Milestone Systems and NVIDIA's Project Hafnia helps ensure transparency and data quality, improving AI accuracy. Quantum machine learning is also advancing, with Australian scientists using it to improve microchip creation. In cybersecurity, Dr. Philip Huff from UA Little Rock will discuss AI's role in strengthening cyber defense. LinkSquares has hired a new VP of Sales to boost growth of its AI-powered Contract Lifecycle Management (CLM) platform. YouTube is implementing AI to identify teen users for safety measures, regulating their content and advertising. However, a Cornell professor warns that AI agents combined with cryptocurrency could pose risks, such as launching memecoins or hiring hackers, suggesting the need for regulations and safeguards. Scale AI is a key player in the broader AI ecosystem, providing essential data infrastructure and services for training and deploying AI models.

Key Takeaways

• Pittsburgh will host the AI Horizons Summit in September, focusing on "Physical AI," a market projected to reach $124 billion by 2030.
• Slingshot Aerospace's TALOS is training the Space Force for satellite operations using AI-driven simulations.
• AI coding tools are improving code quality and developer morale, making coding more enjoyable.
• Stanford researchers are developing AI systems that are fair, reliable, and trustworthy by addressing biases in training data.
• Milestone Systems and NVIDIA's Project Hafnia improves AI accuracy in video analytics through transparency and data quality.
• Quantum machine learning is being used to improve microchip creation by modeling electrical resistance.
• Dr. Philip Huff from UA Little Rock will discuss AI's role in cybersecurity at the Forge Institute.
• LinkSquares has hired a new VP of Sales to boost growth of its AI-powered Contract Lifecycle Management (CLM) platform.
• YouTube will use AI to identify teen users and regulate their content for safety.
• A Cornell professor warns that AI agents combined with cryptocurrency could pose risks, necessitating regulations and safeguards.

Pittsburgh to host AI summit led by Shapiro and McCormick

Gov. Josh Shapiro and Sen. Dave McCormick will headline the AI Horizons Summit in Pittsburgh this September. The summit will focus on "Physical AI," which combines AI software with physical systems like self-driving cars. Joanna Doven, director of Pittsburgh’s AI Strike Team, says this market could reach $124 billion by 2030. The Strike Team aims to add 100,000 tech jobs to the region by 2028 and is offering a $100,000 grant to a Pennsylvania company with deployable AI technology.

Shapiro and McCormick to lead Pittsburgh AI summit in September

Gov. Josh Shapiro and Sen. Dave McCormick will headline the AI Horizons 2025 summit in Pittsburgh on September 11 and 12. The event will highlight AI systems that interact with the real world through robotics and simulation. Joanna Doven, Executive Director of the AI Strike Team, says Pittsburgh is positioned to become the Physical AI capital. Startups will compete for over $100,000 in prize money at the event.

Slingshot's AI tool TALOS trains Space Force for satellite missions

Slingshot Aerospace has created TALOS, an AI tool that helps the Space Force train for satellite operations. TALOS simulates spacecraft operations in a virtual environment, allowing guardians to practice tactics and maneuvers. The Space Force's 57th Space Aggressor Squadron tested TALOS to create realistic simulations of enemy satellites. Slingshot's CEO, Tim Solms, says TALOS optimizes real-world operations and supports mission command decision-making.

Slingshot Aerospace introduces TALOS, an AI agent for Space Force training

Slingshot Aerospace has developed TALOS, an AI agent designed to train military satellite operators. TALOS simulates satellite tactics, including maneuvering and space combat, in a realistic orbital environment. The system supports intuitive visualization to aid in training exercises. It prepares operators for contested space operations.

AI coding tools improve code quality, make coding fun again

According to Martin Casado, a partner at Andreessen Horowitz, AI coding tools improve code quality and developer morale. Tools like Cursor help with tasks like writing tests and cleaning up code. Casado says AI eliminates drudge work, leading to more robust and maintainable code. He also notes that AI has made coding enjoyable again for experienced developers.

Stanford researchers design AI systems that are fair and trustworthy

Stanford researchers are working to create AI systems that are fair, reliable, and trustworthy. They focus on addressing biases and errors in AI training data to ensure fair outcomes. Daniel Ho is using AI to identify and redact racist property deeds. Sanmi Koyejo develops algorithms to prevent healthcare disparities in AI diagnostic tools. These efforts aim to build AI systems that people can trust and that improve society.

Sourcing video data for AI training faces scale, safety challenges

AI-powered video analytics is growing, but using it responsibly is key. Transparency and data quality are important for training AI models. Project Hafnia, developed by Milestone Systems and NVIDIA, helps share and use traceable video data. Dubuque, Iowa, improved AI accuracy from 80% to over 95% using this platform. Synthetic data is another solution, simulating real-world conditions to train AI models while addressing ethical and legal concerns.

Quantum machine learning creates new semiconductors, transforming chip making

Scientists in Australia have used quantum machine learning to improve microchip creation. They developed a technique that models electrical resistance inside a chip, which affects its performance. The new Quantum Kernel-Aligned Regressor (QKAR) algorithm converts classical data into quantum states. This allows the system to identify complex relationships in the data. The model outperformed traditional methods and could be used in real-world chip production.

UA Little Rock expert to discuss AI in cybersecurity

Dr. Philip Huff from UA Little Rock will discuss AI-powered cybersecurity at the Forge Institute's Igniting Ingenuity Lab Insights series. He will talk about how AI tools are used to strengthen cyber defense strategies. Huff will also preview new prototypes for cybersecurity clinics that turn threat data into actionable intelligence. The event will take place on Tuesday, Aug. 12.

LinkSquares hires new VP of Sales to boost AI growth

LinkSquares, an AI-powered Contract Lifecycle Management (CLM) company, has appointed James Newman as VP of Sales. Newman has experience in enterprise revenue from technology companies. He will help LinkSquares grow and meet customer needs. LinkSquares' CLM platform helps businesses streamline processes and reduce risk. The company has been recognized as one of the fastest-growing private companies in America.

YouTube to use AI to identify teen users for safety

YouTube will roll out a new AI-powered technology to identify users under 18. The tool will assess a person's age based on their viewing habits and account history. If a user is identified as under 18, YouTube will regulate their content. This includes disabling personalized advertising and limiting repetitive views. The tool will be tested in the U.S. before wider release.

AI agents and crypto could spell trouble, warns Cornell professor

A Cornell Tech professor warns that AI agents and cryptocurrency could lead to problems. AI agents could launch memecoins, destabilize governments, or hire hackers using crypto. The decentralized nature of blockchains makes it hard to stop harmful transactions. The professor suggests regulations, kill switches, and AI-human identity binding to curb the risk. Visa is also exploring AI agents making purchases for users.

Sources

• Gov. Josh Shapiro and Sen. Dave McCormick to headline AI summit in Pittsburgh this fall
• AI summit coming to Pittsburgh later this year will be headlined by Gov. Shapiro, Sen. McCormick
• Slingshot’s new AI-enabled tool helps Space Force train for satellite ops
• Slingshot unveils AI agent for Space Force training
• AI tools won't get products out faster, but they'll solve 2 coding problems, says a16z partner
• How Stanford researchers are designing fair and trustworthy AI systems
• Sourcing video data for AI training: overcoming the challenges of scale, safety and representation
• Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made
• UA Little Rock Cybersecurity Expert to Share AI Insights During Forge Institute Talk
• LinkSquares Strengthens Global Leadership Team with New VP of Sales for Next Phase of Growth in AI-powered Contract Lifecycle Management
• YouTube to roll out new AI-powered technology aimed at identifying teen users
• Cornell Tech Professor Warns AI Agents And Crypto Spell Trouble