Hubs

The EU’s Digital Markets Act (DMA) is a competition law that forces major tech platforms — including Google, Apple, and Meta — to open their services to rivals. This hub covers DMA rulings and enforcement actions that affect AI products, including how they open Android and search to competing AI assistants.

Discovery Loop is an AI startup co-founded by Jeff Dean and other former Google researchers, aiming to automate scientific research with AI systems that can generate hypotheses and run experiments. This hub tracks the company’s progress, funding, and research direction.

DRAM (dynamic random-access memory) is the working memory that feeds data to AI accelerators, and its supply and pricing have become a bottleneck for AI hardware production. This hub covers DRAM manufacturers, capacity constraints, and how memory chips shape the cost and pace of the AI buildout.

Edge AI means running AI models close to where data is generated — on sensors, cameras, industrial equipment, or autonomous systems — instead of relying on a centralized cloud server. The approach cuts latency, saves bandwidth, and lets systems keep working with limited or no connectivity, which matters for robotics, autonomous vehicles, and IoT devices. This hub tracks news and explainers on the chips, platforms, and products that push AI computation out to the edge.

This hub covers artificial intelligence in education — new tools for learners and teachers, AI-powered platforms entering classrooms, and initiatives making AI knowledge more accessible. We highlight what is relevant to Georgia, from universities and schools to self-learners building new skills.

Elon Musk is the entrepreneur behind Tesla, SpaceX, and the AI company xAI, and a prominent, often controversial voice in debates over AI’s risks and direction. This hub tracks Musk’s AI ventures, statements, and their impact on the industry.

Embeddings are numerical representations that capture the meaning of text, images, or other data as vectors, letting AI systems compare and search content by similarity rather than exact keywords. They underpin technologies like semantic search, recommendation systems, and retrieval-augmented generation (RAG). This hub covers new embedding models, tools, and their use across AI applications.

Emergent is an Indian AI startup whose platform lets people build software using AI agents, without writing code themselves. The company has grown quickly and drawn significant investor interest. This hub gathers news and explainers about Emergent’s product, funding, and growth.

Enterprise AI is artificial intelligence built into an organization’s core systems at scale — with the security, governance, and compliance controls that business use demands. This hub covers how companies adopt AI and the products built for them.

Etched is an AI chip startup building application-specific silicon for transformer inference, rather than general-purpose GPUs. Its flagship chip, Sohu, is designed to run large language models significantly faster and more efficiently than conventional hardware. This hub covers Etched’s product announcements, funding, and its place in the broader AI chip market.

Rules, risks, and responsibility. We cover AI regulation, safety, and ethics — including the EU AI Act — and what it implies for Georgian companies and policymakers.

The EU AI Act is the world’s first comprehensive law regulating artificial intelligence. It classifies AI systems by risk level and sets compliance obligations for any company whose AI reaches EU users — including firms in Georgia serving European clients. This hub follows the Act’s rules, deadlines, and what they mean in practice.

How the European Parliament is adopting and regulating artificial intelligence — from internal AI tools for lawmakers and staff to its role shaping EU AI policy. This hub follows the institution’s own use of AI alongside the rules it sets for others.

The European Union sets some of the world’s most influential AI rules, most notably the EU AI Act, that reach any company serving European users. This hub covers EU AI regulation, enforcement, and what it means for businesses inside and outside Europe.

EUV (extreme ultraviolet) lithography is the ultra-precise manufacturing process that uses extremely short-wavelength light to etch the tiniest circuit patterns onto modern chips. It is essential for producing the most advanced AI processors, yet only one company in the world — ASML — can build the machines capable of it. This hub tracks developments in EUV technology and its impact on the chip supply chain and export policy.

Fair use is the US legal doctrine that lets certain uses of copyrighted work proceed without permission — and it sits at the center of the fight over whether AI companies can train models on books, articles, and art. This hub follows the rulings and settlements testing where that line falls.

The Food and Agriculture Organization (FAO) is the United Nations agency focused on food security, agriculture, and rural development. This hub tracks how FAO applies artificial intelligence — from livestock identification tools to data programmes — including its work with Georgia’s agricultural sector.

Figma is a widely used collaborative design platform for interface and product design. It has added AI features that help generate layouts, edit designs, and automate routine work for designers. This hub collects news and explainers about Figma’s AI tools and what they mean for design workflows.

Figure AI is a US robotics company developing general-purpose humanoid robots aimed at real work in factories and warehouses. This hub follows Figure’s robots, their deployments with industrial partners, and how the company fits into the broader humanoid-robot race. Expect news and accessible explainers.

This hub covers the financial-market and economic-policy dimensions of the AI boom — stock market reactions to AI news, company valuations, monetary policy, and the systemic risks regulators are watching. It tracks how the rapid growth of AI ripples through markets, investor behavior, and central bank decisions.

Fine-tuning adapts a pre-trained AI model to a specific domain or task without building one from scratch. Businesses use it to make general models perform better on their own data, style, or use case. This hub explains what fine-tuning is, when it makes sense, and how it differs from other ways of customizing AI.

Fireworks AI is a serverless inference platform for running and fine-tuning open-source generative AI models, from large language models to image and audio systems, without managing the underlying infrastructure. It positions itself on speed and cost efficiency for developers and enterprises building production AI applications. This hub follows Fireworks AI’s platform updates, model support, and funding.

Firmus is an Australian AI infrastructure company building data centers and “AI factories” across the Asia-Pacific region, backed by investors including Nvidia, Blackstone, Coatue, and Jane Street. This hub tracks its funding rounds, capacity expansion, and role in the region’s AI buildout.

FLUX is Black Forest Labs’ family of generative AI models for creating images, video, and audio, available through a browser playground, a paid API, or open-weight downloads. This hub tracks new FLUX model releases and capabilities.

A forward-deployed engineer works embedded within a client’s team, adapting an AI product to that company’s specific workflows and data rather than building generic software from a distance. The role has become one of the fastest-growing job titles at AI labs and startups as they compete to prove their systems work in real enterprise settings. This hub covers the role, the companies hiring for it, and how it differs from traditional software engineering and consulting.

A foundation model is a large-scale AI model trained on massive datasets that can then be adapted to a wide range of tasks, from text to code to images. The term covers models like GPT, Gemini, and Llama, which serve as the base for countless downstream AI tools and applications. This hub gathers news and explainers on foundation model architecture, training, and use.

An FPGA (field-programmable gate array) is a chip whose internal circuitry can be reconfigured after manufacturing, unlike a fixed-function GPU or ASIC. That flexibility makes FPGAs attractive for AI inference and edge deployments where workloads change quickly or low latency and power efficiency matter more than raw throughput. This hub tracks how FPGAs are used in AI acceleration and how they compare with GPUs and custom AI chips.

“Frontier AI” refers to the most advanced, large-scale AI models — the systems pushing the current edge of capability and often at the center of safety and governance debates. This hub covers frontier model releases, capability and risk evaluations, and the safety measures proposed by companies and governments around the world’s most capable AI systems.

Gemini is Google’s flagship family of AI models and its consumer AI assistant, spanning text, images, audio, and video. This hub tracks Gemini’s releases, capabilities, and how it compares to ChatGPT and Claude.

Gemini Notebook is Google’s AI research assistant that answers questions and generates summaries using only the documents, audio, or notes a user provides, grounding every answer in the source material. Formerly known as NotebookLM, it was rebranded and expanded with new features such as code execution. This hub covers how it works and what’s new.