Category: Machine Learning

Advances in AI, particularly Gen AI and Agentic AI, are creating significant opportunities, but they are also sharpening important questions for insurers. The question is, just because a process can be automated, should it be automated? executive summary Manuel Rodríguez Vera from Capgemini’s WNS division provides a practical approach for insurers to embed control, privacy […]

VANCOUVER, British Columbia, April 9, 2026 (Globe Newswire) — EarthDaily Analytics (EarthDaily) today announced a new eight-figure data subscription agreement with a U.S. defense information technology company, reflecting the growing demand for AI-enabled Earth observation data built on consistency, calibration, and trust. The deal will give customers access to tens of millions of square kilometers […]

In a new study, Yoan Hermstrüwer and David Imhof analyze how AI can help antitrust authorities predict cartels by evaluating international bidding data from countries with similar legal and market structures. Cartel busted in Switzerland. The other was dismantled in Finland. And more bidders were indicted in Brazil and the United States. Each incident generates […]

Authentication failures cause 34% of API outages, new benchmark aims to address gap APIEval-20 Built for APIs that change faster than documented Recorded over 100 downloads in the first week of release KushoAI, an AI-native platform for API testing and software reliability, introduced APIEval-20, an open benchmark designed to evaluate how effectively AI agents can […]

Aristek Systems, a provider of custom software and AI-driven solutions, announced a focused expansion of its legal technology capabilities to target automation of complex workflows that continue to consume significant time and resources across law firms and corporate legal departments. As the adoption of artificial intelligence accelerates in the legal field, many organizations are looking […]

Reinforcement learning (RL) in robotics is often associated with large GPU clusters, distributed infrastructures, and x86-based development environments. Training humanoid robots with high-fidelity simulation is a resource-intensive workflow that runs in data centers. What if that workflow could run on a single workstation? This blog post describes a complete robotics pipeline built with Isaac Sim […]

If you’ve been working with AI for a while, you’re probably an LLM/agent/chat user. But have you ever asked yourself how these tools will be trained in the near future, and what will happen if we have already exhausted the data needed to train our models? Many theories say that we are running out of […]

The dominant “train-then-deploy” paradigm of large-scale language models (LLMs) stalls because static weights cannot dynamically adapt when faced with a continuous stream of real-world information. Test-time training (TTT) has emerged as a promising alternative, but existing methods suffer from architectural incompatibilities, computational costs, and mismatched language modeling objectives. Seamless adaptation with in-place TTT In this […]

4 minute readbangaloreUpdated: April 9, 2026 09:20 AM (IST) Artificial intelligence (AI) and machine learning, which were largely theoretical in the context of space missions 15 years ago, have now become essential, Indian Space Research Organization (ISRO) Chairman Dr V Narayanan said on Wednesday. Speaking at the opening ceremony of the 2nd International Conference on […]

Adversarial examples in computer vision Inputs that look normal to a human but cause the neural network to confidently make incorrect predictions. What started as small gradient-based pixel tweaks has expanded to include physically feasible attacks (patches, textures, camouflage) and latent space manipulations targeting internal representations. By early 2026, research was increasingly focused on vision […]