When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

According to the job description, the role sits within the AI & Robotics division under Engineering and R&D and will contribute to building hardware that powers Tesla’s neural-network-driven ...

The company disclosed in its Thursday funding announcement that it’s now valued at $1.25 billion. That’s up from $250 million in November. Salesforce Ventures led the raise with participation from ...

The University of North Texas (UNT) is stepping into the future with a new undergraduate major in Artificial Intelligence (AI), ...

Please note that this is a general posting and your resume will be reviewed by multiple teams within the AI Hardware ...

2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

AI certifications validate your skills and make you more job-ready in a growing field. Choosing the right certification depends on your current experience and career aspirations. Look for programs ...

Master projectile motion simulations using Python functions! 🐍⚡ This tutorial walks you through coding techniques to model trajectories, calculate distances, and visualize motion in real time.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...