Academic research, performance benchmarks, scientific breakthroughs, and peer-reviewed studies advancing AI frontiers.
When I first saw the latest benchmark results, the numbers looked good, until the context window got bigger. Suddenly, the model’s answers drifted, even with only half the memory slots filled.
When OpenAI ran a handful of tests last month, the goal was simple-ish: see if sparsity could actually help debug huge neural nets.
These days AI models gulp petabytes of data, and the storage layer often ends up as the bottleneck. When an app talks to an S3-compatible bucket, every byte hops across the network stack, eating CPU cycles.
When I fed a handful of mixed-script Indian sentences into a standard language tagger, it stumbled almost immediately.
When you look at MLPerf’s training suite, it’s basically the go-to way to see how fast a chip can turn raw compute into a working model.
Upwork’s newest research asks a question that’s been floating around freelance forums for a while: can an AI-driven assistant actually replace a human, or does it only become useful when it works side-by-side with one?
When the new study on human-aligned AI models showed up, it was right in the middle of a wave of confidence mismatches popping up in everything from chatbots to medical tools.
When DeepMind let its newest agent wander into games it hadn’t seen before - even ones it builds on the fly - I was surprised it didn’t just follow a script.
When I first ran the openai/codex CLI on a machine that already had my ChatGPT subscription, I was surprised at how quickly the two started to feel like parts of the same puzzle.
Bengaluru is set to host The Best Firm Summit 2026, pulling together HR innovators and AI thinkers in one place. It’s not just a series of high-level speeches - the organizers keep saying the agenda leans toward practical tactics.
Google just rolled out AI Advisors that try to turn a boring dashboard into a conversation. Instead of hunting through charts or opening CSV files, a marketer can type something like “why did clicks drop last Tuesday?” and get a quick explanation.
When I first saw the RECAP benchmark, I thought it was just another test. Turns out it actually pulls back the curtain on how much copyrighted prose today’s language models can spit out.
Learn to build AI-powered apps without coding. Our comprehensive review of No Code MBA's course.
Curated collection of AI tools, courses, and frameworks to accelerate your AI journey.
Get the week's most important AI news delivered to your inbox every week.