Google Unveils Ironwood, Its ‘Most Powerful’ and ‘Energy-Efficient’ AI Chip to Date

Google unveils Ironwood, its most powerful TPU, for the age of inference, and Axion Arm VMs promising up to 2× better ...
Interesting Engineering on MSN

Atlas vs Optimus: A detailed comparison of two advanced humanoid robots

In the quest to make machines walk, think, and work like us, humanoid robots have become the ultimate measure of progress in modern engineering. Among them, Boston Dynamics’ Atlas and Tesla’s Optimus ...
The Daily Cardinal

Tech leaders reflect on current AI moment

In interviews with The Daily Cardinal, tech leaders Jim Thompson, Mike Trigg and Allen Dines reflect on how AI has shaped ...

Plush neuron makes AI approachable, simplifies neural networks for middle schoolers

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...
Network World

Perplexity’s open-source tool to run trillion-parameter models without costly upgrades

TransferEngine enables seamless GPU-to-GPU communication across AWS and Nvidia hardware, allowing trillion-parameter models ...

Cisco and Nvidia Reimagine the Data Center for the AI Era

Cisco and Nvidia are reinventing the data center for the AI era with new hardware, shared blueprints, and a vision for faster ...
Interesting Engineering

The brain may be the blueprint for the next computing frontier

As power and latency bottlenecks grow, engineers are exploring neuromorphic chips to deliver low-energy, real-time AI at the edge of embedded and IoT systems.
Study Finds

Brain Implant Smaller Than A Grain Of Sand Records Neural Activity For A Full Year

Scientists developed a wireless brain implant smaller than a grain of sand that recorded neural activity in mice for 365 days ...
IEEE

BnnRV: Hardware and Software Optimizations for Weight Sampling in Bayesian Neural Networks on Edge RISC-V Cores

Abstract: Bayesian Neural Networks (BNN) allow prediction uncertainty estimation, making them a more suitable option for safety-critical applications. However, in BNNs, the forward-pass computational ...