Moving Your ML Proof of Concept to Production Part 1: From Business Goals to ML Metrics
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EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems.
3 minutes read
Article #6 of Engineering the Quantum Future Series: Quantum computing brings groundbreaking tech advances and ethical challenges, requiring frameworks for secure and fair use.
Article #5 of Engineering the Quantum Future Series: The looming threat of quantum computing necessitates urgent development and implementation of quantum-proof encryption methods to safeguard our digital future.
Article #4 of Engineering the Quantum Future Series: Interconnected quantum processors link multiple quantum units to enhance system-wide performance, enabling breakthroughs in computing speed and efficiency across diverse scientific fields.
Article #3 of Engineering the Quantum Future Series: Quantum computing advances energy optimization by enabling real-time grid management, precise simulation, optimization of energy systems, and facilitating the integration of renewable sources.
Article #2 of Engineering the Quantum Future Series: Recent breakthroughs in quantum computing made substantial strides, driving closer to practical applications that could revolutionize industries by solving complex computational problems more efficiently.
Article #1 of Engineering the Quantum Future Series: Quantum computing extends beyond classical binary limits by utilizing qubits, which can exist in multiple states simultaneously, enabling exponentially faster and more complex computations.
CUDA Cores and Tensor Cores are specialized units within NVIDIA GPUs; the former are designed for a wide range of general GPU tasks, while the latter are specifically optimized to accelerate AI and deep learning through efficient matrix operations.
EPFL engineers have created a device that can efficiently convert heat into electrical voltage at temperatures lower than that of outer space.
3 minutes read
The computing industry's energy appetite is notoriously ravenous. Currently, this results in the industry producing between 2.1 and 3.9 percent of all global carbon emissions.
7 minutes read
TENN, developed by BrainChip, is an efficient AI technology designed for edge and event-based processing, reducing energy and computational demands for applications in various sectors.
4 minutes read
In a step toward nanofluidic-based neuromorphic – or brain-inspired – computing, EPFL engineers have succeeded in executing a logic operation by connecting two chips that use ions, rather than electrons, to process data.
3 minutes read
PhD student Lavender Tessmer applies computation to create textiles that behave in novel ways.
Nvidia’s CUDA cores are specialized processing units within Nvidia graphics cards designed for handling complex parallel computations efficiently, making them pivotal in high-performance computing, gaming, and various graphics rendering applications.
