Academic research, performance benchmarks, scientific breakthroughs, and peer-reviewed studies advancing AI frontiers.
When the AI for Math Initiative rolled out under the banner “Accelerating discovery with the AI for Math Initiative,” the goal was pretty clear: bring machine learning into the world of pure mathematics and see if it can spot patterns that standard...
It feels like the line between code and chat is starting to blur. A few remote MCPs, minimal-configuration plug-ins, have popped up in open-source lists, and they claim you can get AI agents to work with everyday tools without the usual API...
When NxtGen rolled out M for Coding, it quickly outgrew the idea of a simple dev-assistant and turned into something that feels more like an AI autopilot.
Feeding an AI just two books can be enough to make it sound like a famous writer.
When you sit down for a data-science interview, the real test often hides behind the coding questions.
Consensus seems to be putting its chips on GPT-5 and the new Responses API as a way to shave off the hours researchers lose digging through old papers.
When Schwacke steps onto the stage for “The brain power behind sustainable AI,” she leans into a claim that feels almost too neat: brain-based science might be the missing piece for a greener AI future.
When I skimmed the new MIT Techn survey of 400 senior tech leaders, one number stuck out: 77 % of data engineers say their workloads feel heavier, even though AI-driven tools are supposed to take over the grunt work.
OpenAI just rolled out a new unit called OpenAI for Science. The idea? To speed up breakthroughs in physics and math by training AI that can actually reason about scientific problems.
Developers are raising eyebrows over Sora, a fresh platform that, they say, veers away from the vibe of Vine and TikTok. “Unlike Vine and TikTok, Sora ‘feels like a clear artifact of the current stage of social media,’” Twyman notes.
Ever tried to run an ML notebook on Databricks and felt a bit lost? Databricks claims to be a Spark-powered, scalable experiment platform, and it does stitch together Apache Spark, a notebook-first UI, experiment tracking and built-in data tools.
Early reviews are already hinting that Nvidia’s latest DGX Spark feels like a smaller sibling of the flagship DGX line. It keeps the gold-trimmed side panels and the same chassis shape, so you can spot it as a DGX right away.
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.