AI Revolution

As more companies quickly begin using gen AI, it’s important to avoid a big mistake that could impact its effectiveness: Proper onboarding. Companies spend time and money training new human workers to succeed, but when they use large language model (LLM) helpers, many treat them like simple tools that need no explanation. This isn't just…

Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today's semantic search, recommendation engines, anti-fraud measures and gen AI applications across industries. There are a deluge of options: PostgreSQL with pgvector, MySQL HeatWave, DuckDB VSS, SQLite VSS, Pinecone, Weaviate, Milvus and several others. The riches…

Every business, big or small, has a wealth of valuable data that can inform impactful decisions. But to extract insights, there’s usually a good deal of manual work that needs to be done on raw data, either by semitechnical users (such as founders and product leaders), or dedicated – and expensive – data specialists.  Either…

Meta and Oracle are upgrading their AI data centres with NVIDIA’s Spectrum-X Ethernet networking switches — technology built to handle the growing demands of large-scale AI systems. Both companies are adopting Spectrum-X as part of an open networking framework designed to improve AI training efficiency and accelerate deployment across massive compute clusters. Jensen Huang, NVIDIA’s…

Salesforce plans to invest $15 billion in San Francisco over the next five years to help businesses adopt AI. The move underscores the company’s push to stay competitive as AI becomes central to enterprise software. Founded and headquartered in San Francisco since 1999, Salesforce has been adding AI features across its products, including the workplace…

Healthcare regulator MHRA is fast-tracking new AI tools that promise to dramatically improve patient care.  The wait for medical test results can stretch from days, to weeks, or even months. That wait period is often filled with worry and it always feels like an eternity. But what if that wait could be cut from weeks…

The surge of multi-billion-dollar investments in AI has sparked growing debate over whether the industry is heading for a bubble similar to the dot-com boom. Investors are watching closely for signs that enthusiasm might be fading or that the heavy spending on infrastructure and chips is failing to deliver expected returns. A recent survey by…

The South Korean government spent 1.2 trillion won ($850m) on developing AI textbooks for schools, but the national programme has been rolled back after just four months, amid allegations of inaccurate texts, concerns about privacy, and increased workloads on staff and pupils. Writing in Rest Of World, journalist Junhyup Kwon quotes a student as saying,…

Google is adding a new feature for third-party developers building atop its Gemini AI models that rivals like OpenAI's ChatGPT, Anthropic's Claude, and the growing array of Chinese open source options are unlikely to get anytime soon: grounding with Google Maps. This addition allows developers to connect Google's Gemini AI models' reasoning capabilities with live…