Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving intellectual tasks. These models are not replicas of human intelligence. Their ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Businesses with a Mac-first strategy have long enjoyed the perception of inherent security from the Unix-based operating ...

Tesla Full Self-Driving leverages cameras, neural networks, and real-world testing to navigate traffic safely, advancing ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

Abstract: Traditional federated learning (FL) architectures face challenges in handling heterogeneous data and dynamic tasks, often resulting in catastrophic forgetting when new training tasks are ...

Overview: India’s IT job market will be driven by automation, AI, and digital transformation.Employers are prioritizing ...

What Are Non-Human Identities and Secrets Security Management? How does one navigate the intricate web of cybersecurity if non-human identities are participating in networks as much as humans? The ...

We are seeking a Data Scientist to join our team in Cape Town, onsite. The Data Scientist will enhance, maintain, and evolve the analytical and optimisation models used to drive product assortment ...

We are seeking a Data Scientist to join our team in Cape Town, onsite. The Data Scientist will enhance, maintain, and evolve the analytical and optimisation models used to drive product assortment ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.