AI Humanizer claims to have developed an algorithm that mimics human conversational nuances to make AI interactions more relatable, but the company has yet to release data proving its technology impro…
Verity, a new AI plugin for Chrome, claims to detect truth in online content but faces skepticism over its efficacy and high inference costs. The plugin aims to combat misinformation, but questions re…
EPFL's Nevo Project aims to democratize AI by creating one of the largest open datasets, but skeptics warn that without adequate computational resources and expertise, the initiative could widen the A…
Fidji Simo has stepped down as the second-in-command at OpenAI, effective July 9, 2026, raising questions about leadership stability and the company's future direction. The departure marks a significa…
AI researchers' pursuit of brain emulation remains a distant goal, as current brain-inspired models fail to match the complexity of the human brain and require prohibitive computational resources. The…
WP Converters launched a new online playground for AI experimentation, aiming to lower technical barriers for both novices and experienced developers. However, the platform faces stiff competition fro…
Companies are investing heavily in AI technologies but internal adoption remains sluggish, with employees struggling to integrate poorly supported tools into their workflows. The gap between executive…
South Korean chipmaker SK Hynix made a record-breaking $26.5 billion US listing, the largest foreign company debut on a US exchange, driven by surging demand for high-bandwidth memory chips used in AI…
The internet is flooded with AI promises, but many projects fail to deliver real-world viability due to high inference costs and infrastructure demands. The economic implications of AI integration rai…
The agentic economy, driven by autonomous AI systems, will overwhelm current enterprise networks built on legacy infrastructure, warns Ivo Ivanov in Forbes. Organizations face economic pressure to ado…
Researchers developed STST-JEPA, a self-supervised transformer model that predicts brain age from EEG data with a mean absolute error of 3.06 years, outperforming previous methods. The model, pretrain…
Researchers developed musicPIIrate, an AI tool using deep learning to infer personal attributes like age, country, and lifestyle habits from public music playlists, raising privacy concerns. In respon…
Researchers have developed a method to compress key-value caches in AI models using contractive iterated-map codes, achieving 36-54x memory reduction on GPT-2 with a perplexity cost of 11-15%. The tec…
Researchers introduced CompDiff, a generative model that improves fairness in medical imaging by addressing demographic imbalances through a Hierarchical Conditioner Network. In tests on chest X-rays …
A new study reveals that aggregating responses from multiple copies of the same AI model can expand output capabilities beyond single-model limits through three mechanisms: feasibility expansion, supp…
A Deloitte survey of 1,150 parents finds half worry about children over-relying on AI in schools, while over a third say schools fail to teach AI skills. Only 22% of parents report schools have approv…
Singapore's Temasek plans to increase its AI investments from 6% to 15% of its portfolio by 2031, targeting sectors like energy, semiconductors, and cloud services. The sovereign wealth fund, with ove…
Meta paused its Model Capability Initiative AI training program after a data leak exposed sensitive employee data company-wide. The program, which tracked keystrokes and mouse movements without opt-ou…
Nvidia CEO Jensen Huang said AI agents are transforming software engineering roles at the company, shifting engineers from coding to building agents and guardrails. Huang rejected fears of job losses,…
Congress faces mounting pressure to shape AI policy as the technology proliferates, with lawmakers needing to balance innovation and regulation. Without clear federal guidance, the U.S. risks falling …