Lifeboat Foundation

The Future Bathroom is Here. Clean. Effortless. Chemical-Free.

Plastic bottle becomes industrially useful product thanks to biosynthetic transformation.

The photos include a 360 degree panorama of the terrain, a selfie of the rover, and a picture of the rover’s landing platform sporting a Chinese flag.

Google wants to train you to become a UX designer in 6 months — without a college degree. Here’s how to make the most of the certificate program and potentially make $84000 a year.

The US unemployment rate sits at 6.7%. Thanks to COVID-19, millions of Americans are still out there looking for not just a new job but also an entire new career path.

Tech fields like UX design, data analysis, and project management are looking for promising candidates, and Google announced a new career-certificate program to help make them more accessible last summer.

Continue reading “Google wants to train you to become a UX designer in 6 months — without a college degree. Heres how to make the most of the certificate program and potentially make $84,000 a year” »

Circa 2011

It sounds like a late-night infomercial: Kill germs and clean surfaces with nothing more than water and a few volts of electricity! Pay pennies a gallon! Strong enough to kill germs but gentle on your skin!

The use of electricity and water to clean and disinfect has been embraced by some food and hospitality businesses looking to save money and go green by swapping out conventional products.

Continue reading “Electrified water lets cleaners ditch the bleach” »

Introducing ways of defining and working with Infinite values in Python.

∀ x ∈ ℝ, -∞ < x < ∞

Every number is smaller than positive infinity and bigger than negative infinity.

Continue reading “How to Deal with Infinity in Python” »

Since the DeepSpeed optimization library was introduced last year, it has rolled out numerous novel optimizations for training large AI models—improving scale, speed, cost, and usability. As large models have quickly evolved over the last year, so too has DeepSpeed. Whether enabling researchers to create the 17-billion-parameter Microsoft Turing Natural Language Generation (Turing-NLG) with state-of-the-art accuracy, achieving the fastest BERT training record, or supporting 10x larger model training using a single GPU, DeepSpeed continues to tackle challenges in AI at Scale with the latest advancements for large-scale model training. Now, the novel memory optimization technology ZeRO (Zero Redundancy Optimizer), included in DeepSpeed, is undergoing a further transformation of its own. The improved ZeRO-Infinity offers the system capability to go beyond the GPU memory wall and train models with tens of trillions of parameters, an order of magnitude bigger than state-of-the-art systems can support. It also offers a promising path toward training 100-trillion-parameter models.

ZeRO-Infinity at a glance: ZeRO-Infinity is a novel deep learning (DL) training technology for scaling model training, from a single GPU to massive supercomputers with thousands of GPUs. It powers unprecedented model sizes by leveraging the full memory capacity of a system, concurrently exploiting all heterogeneous memory (GPU, CPU, and Non-Volatile Memory express or NVMe for short). Learn more in our paper, “ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning.” The highlights of ZeRO-Infinity include:

D-Wave’s newest offering, available in mid-2020, offers two and a half times more connectivity between qubits than the 2000Q quantum computer.

Reward-seeking behavior drove evolution on Earth. Can it do the same in AI?