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- 🤖🦾 AI Agents for Data Analysis, Semiconductor Earnings, and NISQ vs FTQC
🤖🦾 AI Agents for Data Analysis, Semiconductor Earnings, and NISQ vs FTQC
A Newsletter for Computing Geeks, Entrepreneurs, and STEM Graduates
Benjamin Wolba
August 09, 2024
PandasAI: Shaping the Future of Conversational Data Analysis
Over the past two years, large language models have revolutionized how we compute answers to questions in plain English.
They have also paved the way for AI agents—(semi-)autonomous software systems capable of making decisions based on input data and performing actions to achieve specific goals. Beyond crafting compelling marketing copy, AI agents have also proven invaluable not only for boosting developers’ productivity but also for helping non-technical people do things without knowing how to code.
PandasAI was founded by Gabriele Venturi in 2023 to boost data scientists’ productivity and help their business peers get valuable insights from company data autonomously. It raised a $1.1M Pre-Seed round from Runa Capital, Episode1 Ventures, and Vento in the fall of 2023 and was part of the Y Combinator Winter 2024 Batch.
Future of Computing News
🤖 Introducing GitHub Models: A new generation of AI engineers building on GitHub (GitHub Blog)
🤖 Announcing Black Forest Labs: state-of-the-art generative deep learning models for media such as images and videos (Black Forest Labs)
🤖 Kolmogorov-Arnold Networks could point physicists to new hypotheses – The New Type of Neural Network Is More Interpretable (IEEE Spectrum)
🤖 Nvidia is training AI model ‘Cosmos’ and “Is Scraping ‘A Human Lifetime’ of Videos Per Day to Train AI” (404 Media)
🧠 Nvidia delayed its next AI chip due to a design flaw, may not ship in large numbers until next year (The Verge)
🧠 AMD is becoming an AI chip company, just like Nvidia (The Verge)
📉 Intel's stock dropped 30% overnight—the company sheds $39 billion in market cap (Tom’s Hardware)
📉 Intel is laying off over 15,000 employees and will stop ‘non-essential work’ (The Verge)
🔬 Japanese scientists developed a simplified EUV scanner that can make the production of chips considerably cheaper (Tom’s Hardware)
🦾 Aachen spinoff Roofline enables agile adaptation to new edge AI models and hardware (HiPEAC News)
🌐 Y’all are sleeping on HTTP/3 – wake-up call (kmcd dev)
Funding News
🦾 Groq Raises $640M To Meet Soaring Demand for Fast AI Inference (Groq)
Check out our previous interview with their Chief Evangelist Mark Heaps: How Groq Built The Fastest Chip for LLM Inference
🤖 Hyperbolic Raises $7M Seed to provide GPU resources and AI services (finsmes)
🤖 Tencent joins Moonshot AI $300 million funding round, report says (technode)
🌐 Roe AI raised a $3.5M seed to Accelerate Unstructured Data analytics (Roe AI)
⚛️ Riverlane Raises $75 Million in Series C Round to Meet Demand For Quantum Error Correction Technology (The Quantum Insider)
Our Line-Up is Growing
Super excited to count Intel Ignite, Lunar Ventures, and UVC Partners among our first sponsors and partners for the Future of Computing Conference 2024 🥳
In December this year, we'll bring 200+ founders, VCs, and industry experts working at the forefront of computing together in Munich for this one-day event involving:
👉 30 pitches from computing startups from all over Europe
👉 keynotes and insights from major ecosystem players
👉 high concentration of experts and high-quality networking
Please reach out if you'd like to support us or pitch your computing startup at the event 🦾
Good Reads
“Tesla is of a similar opinion to Apple in that it believes hardware and software should be designed to work together. That’s why Tesla is working to move away from the standard GPU hardware and design its own chips to power Dojo.”
"What we've shown is that we burn a little north of 25 million [euros] in 12 months, and that has brought us to where we are today, with distribution which is very wide across the world, with models that are on the frontier of performance and efficiency.”
“AMD’s plan centers around a roadmap that consistently delivers strong performance and undeniable cost advantages, beginning with MI300. Ring any bells? This approach mirrors the playbook AMD used to establish a foothold in the data center CPU market.”
“Although we initially did not expect to see fault-tolerant quantum computers until the 2030s, recent advances now lead us to believe that we will start seeing what we call early fault-tolerant quantum computers (FTQC) available in the second half of this decade.”
In the first episode of Universal Quantum’s new podcast ‘Quantum Frontier’ they dive into the fascinating world of Grover’s algorithm, uncovering common misconceptions and discussing its practical applications using some delightfully unexpected examples.
Check out our previous interview with Universal Quantum: Shaping the Future of Fully Scalable Trapped Ion Quantum Computers
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