Qualcomm confirmed a $3.92 billion all-stock deal to buy AI software startup Modular, paired with a Meta Platforms CPU ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

Two significant milestones happened for Yash Kamlesh Shah on May 20: he officially graduated with his M.S. in Data Science from the Ying Wu College of Computing; and his startup, Avarieux, was ...

Splash, a 2 1/2-year-old male otter, is trained to assist authorities in search-and-recovery missions by detecting human ...

From the phase of "making AI do the work" to the phase of "multiple AIs collaborating to complete tasks"—the concept of multi-agents has rapidly become a reality for engineers. However, you often hit ...

Abstract: Modern data storage systems often fetch data from a large number of sources. Although synchronous data transfer is simple as it can use simple scheduling of data delivery, it scales poorly.

Visualize the magnetic field of parallel current-carrying wires using Python. This short shows how to model and plot the field pattern, explore direction and strength, and build intuition for ...

Data Parallel Extension for NumPy* or dpnp is a Python library that implements a subset of NumPy* that can be executed on any data parallel device. The subset is a drop-in replacement of core NumPy* ...

Central processing units of modern computers contain multiple cores capable of carrying out computations independently. This architecture can be leveraged by writing computer programs that perform ...

Today, let's think about how to perform parallel processing in Python. Though it may be self-serving, we will look at a program I created as a reference. I call it 'Stock Robo-kun,' but even though I ...