Are we on the path to becoming one with machines? In this video, we dive deep into the concept of The Singularity—the point where humanity and artificial intelligence merge into one seamless entity. From advanced neural interfaces to AI-driven biological enhancements, we’ll explore the technologies paving the way for this future transformation.

Tesla is gearing up to launch a new feature for owners towing trailers that will improve energy consumption estimates.

Set to challenge Taiwan and the U.S.

Apple, the first publicly held US firm to hit 1 trillion, 2 trillion, and 3 trillion dollars in valuation is closing in on 4 trillion dollars.

Scientists discover vast underground hydrogen reserves that could power Earth for centuries, potentially revolutionizing clean energy production.

Charging an electric vehicle can be daunting sometimes, but Tesla, the biggest player in the game, has long figured it out. Thanks to its extensive Supercharger network of DC fast chargers that are tightly integrated with the cars’ software, it’s extremely easy to plan a route in a Tesla EV.

The infotainment system shows the driver exactly how many charging stops are needed, how much juice will be in the battery when arriving at a charging stop and how much energy will be added during the charging stop. It’s all seamless, and it’s one of the biggest reasons why people buy Teslas to begin with.

However, during the holidays, even Tesla owners might have to wait a little longer during charging stops simply because all the stalls are already in use when arriving at a Supercharger. More people are traveling, so more EV owners are out there charging their cars. However, Tesla seems to have a solution for this, as well.

Pig-to-human kidney transplants. A blood test for Alzheimer’s. Birth control without a prescription. These were just a few of the advancements in health and medicine in 2024.

Chinese AI startup DeepSeek has released what appears to be one of the most powerful open-source language models to date, trained at a cost of just $5.5 million using restricted Nvidia H800 GPUs.

Meta, Aitomatic, and other members of the AI Alliance have released the world’s first large language model specifically trained on the needs of the semiconductor industry.

The rise of generative AI has ushered in an era of unprecedented innovation, demanding increasingly complex and more powerful AI models. These advanced models necessitate high-performance infrastructure capable of efficiently scaling AI training, tuning, and inferencing workloads while optimizing for both system performance and cost effectiveness.

Google Cloud has been pioneering AI infrastructure for over a decade, culminating in a unified architecture called AI Hypercomputer that seamlessly integrates workload-optimized hardware (TPUs, GPUs, and CPUs), open software, and flexible consumption models to power the most advanced AI models. This holistic approach optimizes every layer of the stack for optimal scale, performance, and efficiency across the broadest range of models and applications. AI Hypercomputer is one of the many reasons why Google Cloud was named a leader in Forrester’s AI Infrastructure Wave. Just last week, Google Cloud was also named a Leader in Gartner’s Magic Quadrant for Strategic Cloud Platform Services, where for the second consecutive year, we are the only Leader to improve on both vision and ability to execute.