AI has a nose for fraudulent wine

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AI HAS A NOSE FOR FRAUDULENT WINE 🍷

Q: What did the grape say when it was crushed?

A: Nothing, it just let out a little wine. 🍇

What’s up? In the battle against counterfeit wines, researchers have harnessed the power of AI to expose fraudulent practices.

How does it work? Scientists, led by Professor Alexandre Pouget at the University of Geneva, employed machine learning algorithms to trace wines back to their origins through routine chemical analyses. Using gas chromatography, the team analyzed 80 wines from seven different Bordeaux estates over a 12-year period. The AI distinguished wines not only by vine-growing region but also identified the specific estate where the wine was produced, tracing the wines back to the correct chateaux with 99% accuracy. However, it struggled to distinguish vintages, reaching a 50% accuracy at best.

What is the significance? This breakthrough has significant implications for combating the rampant issue of wine fraud, where individuals produce fake wines, complete with counterfeit labels, and sell them at exorbitant prices. Beyond fraud detection, this AI approach could revolutionize winemaking by optimizing blending processes and enhancing overall quality, making it more accessible and cost-effective for producers to create exceptional blends.

GOOGLE DECIDES TO LAUNCH GEMINI 🦾

Google delayed the release of Gemini a few days ago, then in a 180 degree turn released Gemini. 🤯

What’s new? Google has unveiled its latest innovation, the Gemini generative AI model.

What is Gemini? What sets Gemini apart is its natively multi-modal design, adept at analyzing text, audio, video, images, and code simultaneously. Unlike competitors, Gemini was built from the ground up to seamlessly integrate these mediums, enhancing its understanding of multimodal data and producing superior results. In a demonstration, Google showcased Gemini’s prowess through various demonstrations, from identifying hand-drawn images to assisting with homework and understanding programming languages. Gemini boasts three variants: Gemini Ultra, the largest and most proficient; Gemini Pro, versatile across numerous tasks; and Gemini Nano, tailored for specific tasks and mobile devices.

When will Gemini be available? Google plans to seamlessly integrate Gemini into their ecosystem, spanning Search, Chrome, Ads, and more. Starting today, Google’s chatbot Bard will use Gemini Pro to help with advanced reasoning, planning, and understanding. Starting December 13th, Gemini Pro will be accessible to developers and enterprise clients through the Gemini API on Google AI Studio or Google Cloud Vertex AI. Additionally, Android developers will have the ability to incorporate Gemini Nano into their projects. The new model will also play a pivotal role in fueling various Google products, including the Bard chatbot and the Search Generative Experience (SGE), which aims to respond to search queries with conversational-style text.

Wasn’t the launch delayed? Earlier this week, reports suggested that Google was delaying the highly anticipated launch of Gemini until early 2024, due to its struggling ability to handle queries in multiple languages. This was reflected by the cancellation of many private unveilings. However, as a response to pressure from financial backers about the inadequacy of Gemini to compete with GPT-4, Google quickly turned around with a launch. When asked about this confusion, VP of Google Deepmind, Eli Collins, said that testing the more advanced models take longer, but assured that Gemini is the most “highly tested AI model that the company’s built.”

XAI SEEKS $1 BILLION IN FUNDING 💰

Elon Musk needs more money … said nobody ever. 🤑

What happened? Elon Musk’s AI venture, xAI, is seeking a substantial boost with a $1 billion funding round, as revealed in a filing with the US Securities and Exchange Commission (SEC).

What is xAI? Established in July, xAI aims to unravel the “mysteries of the universe” and compete with industry giants like Google, Microsoft, OpenAI, and Anthropic. Last month, Musk introduced xAI’s inaugural language model, Grok, trained on data from X (formerly Twitter), granting real-time interaction with the platform. Grok, inspired by the Hitchhiker's Guide to the Galaxy, flaunts humor and a rebellious edge in its responses. Currently in development, Grok will first be accessible to X Premium+ subscribers upon completion, as announced by Musk.

Why the funding? Although the current investors are anonymous, the recent filing with the SEC revealed xAI’s prior accumulation of $135 million. xAI aims to raise the remaining amount through equity financing, with up to 25% ownership on the table.

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