“With volatility now the norm, security and risk leaders need practical guidance on managing existing spending and new budgetary necessities,” states Forrester’s 2026 Budget Planning Guide, revealing a fundamental shift...
A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called Model Merging...
In the frenzied land rush for generative AI that followed ChatGPT’s debut, the mandate from Intuit’s CEO was clear: ship the company’s largest, most shocking AI-driven launch by Sept. 2023....
A new training framework developed by researchers at Tencent AI Lab and Washington University in St. Louis enables large language models (LLMs) to improve themselves without requiring any human-labeled data. The technique, called R-Zero, uses...
OpenAI adds to an increasingly competitive AI voice market for enterprises with its new model, gpt-realtime, that follows complex instructions and with voices “that sound more natural and expressive.” As...
Nvidia reported $46.7 billion in revenue for fiscal Q2 2026 in their earnings announcement and call yesterday, with data center revenue hitting $41.1 billion, up 56% year over year. The...
Nous Research, a secretive artificial intelligence startup that has emerged as a leading voice in the open-source AI movement, quietly released Hermes 4 on Monday, a family of large language...
Just days after Gartner’s stock plummeted 50% on warnings of slowing enterprise technology purchases, Snowflake delivered a resounding counter-narrative. Enterprises aren’t pulling back on data infrastructure. They’re doubling down. The...
OpenAI and Anthropic may often pit their foundation models against each other, but the two companies came together to evaluate each other’s public models to test alignment. The companies said...
Salesforce is betting that rigorous testing in simulated business environments will solve one of enterprise artificial intelligence’s biggest problems: agents that work in demonstrations but fail in the messy reality...
