Lucia Fava’s Post

Artificial Intelligence evolves in stages — from simple reactive machines to the possibility of self-aware systems. Discover the 4 types of AI shaping our future. #ArtificialIntelligence #AI

🔥 Pearadox Spotlight: Can AI Predict the Future More Realistically? Short-term AI predictions are easy — like forecasting a car’s speed in the next few seconds. But what about predicting months of performance, patterns, or behavior? That’s where Stage-Diff comes in. This new method breaks long-term data into smaller “stages” and connects them back together, making predictions more accurate and lifelike. The findings: ✅ Stage-Diff captures gradual changes over time (like how machinery wears down) ✅ It combines insights across multiple data streams to understand how things interact ✅ It can generate more realistic, long-term forecasts than older methods Imagine an AI that doesn’t just predict tomorrow’s weather but also simulates how climate shifts play out over years — or one that models how complex systems evolve far into the future. 💡 Favorite takeaway: Stage-Diff isn’t just about short-term accuracy — it’s about teaching AI to think in timelines, not snapshots. 🔗 https://lnkd.in/eqQwjrS4 #AI #MachineLearning #TimeSeries #Forecasting #PearadoxSpotlight

We caught up with Logan Pickels from Luck Stone to learn how they integrate technology today and what the future of technology in the aggregate industry looks like. #aggregates #aggnexus2025 #contech #AI

New framework analyzes AI through history's biggest bubbles. Read more: https://lnkd.in/gJmkQWPR Verdict: Not a bubble (yet). 4 of 5 indicators green, revenues doubling yearly, PE ratios half of dot-com era. #aitrendsbykaz #AIBubble #TechAnalysis #AIBoom

📆 Where is there common ground on what good AI governance looks like? Partner Rebecca Engrav, co-chair of our Artificial Intelligence & Machine Learning industry group, will moderate a panel exploring this topic during the 2025 IAPP AI Governance Global Conference on September 19. Panelists will discuss areas of agreement between regulators and the private sector, practical realities of implementing responsible AI governance, and what the future may hold for an alignment that serves everyone’s interests. https://bit.ly/42yoWoi 𝗣𝗮𝗻𝗲𝗹𝗶𝘀𝘁𝘀 ◽Aaron Brand, Uber ◽Brian Levin, Reality Defender ◽Ian Wilbur, Google DeepMind #AI #ArtificialIntelligence #AiGovernance #AiRegulation #AIGG25

As AI becomes increasingly integrated into human life, we may soon see natural human intelligence acting like artificial intelligence, and artificial intelligence exhibiting traits of natural intelligence.

Developed Open-Face-ID: a face verification system using MTCNN and InceptionResNetV1, exploring ViT for accuracy. Tested in real-time. #MachineLearning #ComputerVision #DeepLearning #AI

In the latest episode of the AI Shift, dive into AI's transformative role in carving the path for junior developers. Solutions Manager Neville Farrell explores how artificial intelligence can accelerate learning and enhance skill sets. Learn more at https://delo.tt/6042fNmm0 #AIshift #DeloitteIreland

Ever wonder how different AI models tackle the same challenge? A recent experiment put several to the test, revealing some surprising results. As models like GPT-5, Opus 4.1, Sonnet, and Kimi were tasked with solving a problem, it became clear that some reached the finish line far quicker than others. The video highlights the distinct approaches each AI took, with some, like GPT-5, exhibiting unexpected behavior along the way. It's a reminder that even within AI, diverse strategies and efficiencies exist. What implications might this have for real-world applications? Curious to hear your thoughts on the varying problem-solving capabilities of AI models. #ArtificialIntelligence #AIModels #MachineLearning #Innovation #Technology #ProblemSolving