The release comes as governments and enterprises face growing constraints on power availability, environmental impact, and data control associated with large AI data centers. As A ...
Explaining the deal, Robo.ai stated that the scope includes high-value multimodal raw data. ・The company says these ...
What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...
Artificial intelligence data annotation startup Encord, officially known as Cord Technologies Inc., wants to break down barriers to training multimodal AI models. To do that, it has just released what ...
A new generation of decentralized AI networks is moving from theory to production. These networks connect GPUs of all kinds ...
For years, the most powerful artificial intelligence systems have been trained behind closed doors–inside massive data centers owned by a select few technology giants. These facilities concentrate ...
Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy ...
Clockwork is known for its software-driven fabric service designed to maximises GPU utilisation and make AI workloads resilient to failure. The company’s technology runs anywhere and supports any ...
OpenAI trained GPT-5 Thinking to confess to misbehavior. It's an early study, but it could lead to more trustworthy LLMs. Models will often hallucinate or cheat due to mixed objectives. OpenAI is ...
Secure your MCP deployments with zero-trust architecture. Learn about post-quantum encryption, context-aware access, and threat detection for distributed AI.