Artificial Intelligence
Explore the rapidly evolving world of artificial intelligence, machine learning, and automation. From AI ethics to real-world applications, this category delivers insights that matter for today and tomorrow.
From Silicon Valley to Nairobi: What the Global South’s AI leapfrogging teaches tech leaders
When I write about the cognitive migration now underway, brought about by the rapid advance of gen AI, I do so from the perspective of someone who has spent four decades in the technology industry. My own journey runs from…
Replacing coders with AI? Why Bill Gates, Sam Altman and experience say you shouldn’t.
In the race to automate everything – from customer service to code – AI is being heralded as a silver bullet. The narrative is seductive: AI tools that can write entire applications, streamline engineering teams and reduce the need for…
Beyond Von Neumann: Toward a unified deterministic architecture
A cycle-accurate alternative to speculation — unifying scalar, vector and matrix compute For more than half a century, computing has relied on the Von Neumann or Harvard model. Nearly every modern chip — CPUs, GPUs and even many specialized accelerators…
Huawei’s new open source technique shrinks LLMs to make them run on less powerful, less expensive hardware
Huawei’s Computing Systems Lab in Zurich has introduced a new open-source quantization method for large language models (LLMs) aimed at reducing memory demands without sacrificing output quality. The technique, called SINQ (Sinkhorn-Normalized Quantization), is designed to be fast, calibration-free, and…
OpenAI’s DevDay 2025 preview: Will Sam Altman launch the ChatGPT browser?
OpenAI will host more than 1,500 developers at its largest annual conference on Monday, as the company behind ChatGPT seeks to maintain its edge in an increasingly competitive artificial intelligence landscape. The third annual DevDay conference at San Francisco’s Fort…
New AI training method creates powerful software agents with just 78 examples
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets. Their framework, LIMI (Less Is More for Intelligent Agency),…
Google’s Jules coding agent moves beyond chat with new command line and API
Google wants its coding assistant, Jules, to be far more integrated into developers’ terminals than ever. The company wants to make it a more workflow-native tool, hoping that more people will use it beyond the chat interface. Jules, which the…
Salesforce launches AI ‘trust layer’ to tackle enterprise deployment failures plaguing 80% of projects
Salesforce Inc. is expanding its artificial intelligence platform with new data management and governance capabilities, aiming to address what the company says is a crisis in enterprise AI adoption where more than 80% of projects fail to deliver meaningful business…
HubSpot’s Dharmesh Shah on AI mastery: Why prompts, context, and experimentation matter most
Presented by HubSpot INBOUND, HubSpot’s annual conference for marketing and sales professionals, took place in San Francisco this year, with three days of insights and events across marketing, sales, CX, and AI innovation. It was a mix of the new,…