MIT researchers demonstrate that best-performing machine learning models can become worst-performing when applied to new data environments, revealing hidden risks from spurious correlations in medical AI and other critical applications.

Anthropic CEO Dario Amodei criticizes the US administration's decision to allow Nvidia to sell advanced H200 AI chips to China, warning of critical national security implications and comparing the move to nuclear weapons proliferation.

ServiceNow and OpenAI announce a three-year strategic deal to integrate OpenAI's GPT-5.2 models into ServiceNow's enterprise workflow platform, enabling AI agents for business operations.

OpenAI launches age prediction model for ChatGPT to identify users under 18 and automatically apply content protections against sensitive material including self-harm depictions.

JPMorgan Chase is now treating its artificial intelligence investments as core infrastructure, signaling a strategic shift to operationalize AI at scale. The bank is focusing its capital on boosting internal productivity, strengthening cybersecurity, and personalizing retail banking services.

In a major push for data security, SAP and Fresenius are collaborating on a 'sovereign' AI platform for the healthcare industry. The multi-million euro initiative aims to create a secure, compliant environment for processing sensitive medical data, enabling hospitals to scale AI applications safely.

A new study from Microsoft Research pinpoints high-skill, white-collar jobs in finance, legal services, and software engineering as the most exposed to disruption from generative AI. The research highlights that AI is increasingly capable of performing complex cognitive tasks, fundamentally restructuring these professions.

Tech predictions for 2026 indicate a major shift from AI model training to inference as the key differentiator. This will force enterprises to adopt open infrastructure and unified control planes like Kubernetes to win the 'inference wars' and deliver faster, local AI experiences.

While Nvidia dominates the AI chip market, Wall Street analyst Beth Kindig has named Micron Technology her top AI chip stock for 2026. The company's critical high-bandwidth memory (HBM) is becoming essential for handling the massive data demands of AI workloads.

Speaking at Davos, Palantir CEO Alex Karp argued that AI enhances civil liberties by providing granular transparency in decision-making. He also issued a stark warning that Europe is structurally falling behind the US and China in technology adoption.

From autonomous robotaxis becoming a common sight to AI agents that shop on our behalf, 2026 is projected to be the year AI seamlessly integrates into our daily routines. Expect chatbots to evolve into 'everything apps' and humanoid robots to start handling household chores.

Apple has officially partnered with Google, integrating the Gemini AI model to power a revamped Siri. This move comes as the US government imposes new 25% tariffs on AI chips sold to China, impacting major players like Nvidia and AMD.

Global leaders at the World Economic Forum in Davos are raising alarms about AI's profound impact on the labor market, with the IMF describing it as a 'tsunami.' Discussions highlight nearly 55,000 US layoffs in 2025 attributed to AI and the urgent need for workforce upskilling.