AI Developments
The Hard Part of AI in Education Isn’t the Model, it’s Everything Around it
"The metric we care about most, the holy grail, is completion. If we are able to improve completion, everything else follows."
AI Developments
"The metric we care about most, the holy grail, is completion. If we are able to improve completion, everything else follows."
Thought Leadership
Production AI demands a fundamentally different environment, one where compute, networking, storage, power and cooling are designed to work together rather than treated as separate technology layers.
Opinion
In this interview with The Left Shift, Abhradeep Chatterjee, Associate Director at NTT DATA Services, argues that enterprises are asking the wrong question. Instead of focusing on whether AI models work, leaders should ask whether AI can transform how the business operates.
Opinion
Once BitChat is installed on a device, it can continue operating offline, relaying messages from phone to phone without relying on any central infrastructure.
Opinion
IBM executives said "tens" of customers delayed planned mainframe purchases during the quarter after prioritising AI infrastructure investments.
Opinion
In a new research blog post, the startup explores the concept of recursive self-improvement (RSI), the idea that advanced AI systems could eventually help design, train, and improve future generations of AI.
Opinion
Tokenmaxxing borrows its name from internet slang such as "looksmaxxing" and "fitnessmaxxing," where individuals attempt to optimise a specific trait to the extreme.
Opinion
A new IBM report states that only 33% of AI initiatives among 1,200 Salesforce customers meet ROI goals, while a staggering 72% fail to scale.
Opinion
LeCun, who joined Meta in 2013 to lead FAIR, has been instrumental in the company's AI research initiatives.
Opinion
Domyn is building AI tailored to the nuanced demands of sectors like finance, healthcare, and government.
Big Tech
This update will roll out globally on December 16, 2025, with notifications to users starting October 7.
Opinion
It is the first time U.S. courts have endorsed using copyrighted literary works to train large language models (LLMs).