Lifeboat Foundation

2022 has been an interesting year with incredible developments, both positive and negative in the field of Artificial Intelligence (AI). Many international leaders have consistently expressed concerns on the hopes or horrors that AI can unleash if humans are not careful in applying ethical AI practices, and also fundamentally thinking harder about the use cases and the societal impacts that AI could have on human civilization.

According to a Gartner study, the revenue from AI in 2022 will reach $62 billion. This is an increase of roughly a 21.3% increase from 2021. Despite the dynamics of the market, AI is continuing to evolve, grow and many outstanding AI innovations are advancing the betterment of human kind — giving us much hope.

The method can be used on any time-sensitive natural disaster.

In 2011, northeast Japan was struck by a devastating tsunami that claimed the lives of about 18,500 people. Since then, the nation has been focused on preventing a similar outcome in the future.

“The main advantage of our method is the speed of predictions, which is crucial for early warning,” explained Iyan Mulia, the work’s lead and a scientist at RIKEN.

Continue reading “New AI technology can predict tsunami impacts in less than a second” »

The intelligent robot ‘evolves’ inside the pipe, without stopping water distribution.

At a time when a significant proportion of people face scarcity of drinking water, a staggering 32 billion m3 of clean water is lost a year due to faulty distribution networks around the world. This is where technologies like ACWA Robotics’ Pathfinder autonomous robot become a much-relevant product for utilities. The system can navigate at the heart of the water supply network without disrupting water distribution to users to provide actionable data.

ACWA

Continue reading “CES 2023: Engineers create a snake-like robot that can move inside water pipes” »

NASA’s unmanned Artemis mission to the moon was a small step toward the ultimate goal of sending humans to Mars and beyond.

The second goal was to figure out how to settle and exploit the resources of the moon for research teams by the middle of the following decade.

This must count toward daily workout goals for his best friend.

Chinese robotics manufacturer, Unitree, has a four-legged robotic dog offering. What makes the dog super special is that it can do push-ups. Robotic dogs are the hottest new thing available in the market, and just like their natural counterparts, this quadruped buddy also wants to be man’s best friend. For this, the dog, or its manufacturer, will make sure it does everything to help you out, and if doing push-ups is what it takes, then that’s what it will be trained to do.

Continue reading “China-designed robotic dogs do push-ups with ease” »

Chinese tech companies rush to match Stable Diffusion and DALL-E 2, but roadblocks lie ahead.

The gigantic technological.

Continue reading “How China is building a parallel generative AI universe” »

It’s a demonstration of what’s possible with today’s AI — and the outstanding challenges.

Generative AI is coming.

Generative AI is coming for videos. A new website, QuickVid, combines several generative AI systems into a single tool for automatically creating short-form YouTube, Instagram, TikTok and Snapchat videos.

Continue reading “QuickVid uses AI to generate short-form videos, complete with voiceovers” »

The first open source equivalent of OpenAI’s ChatGPT has arrived, but good luck running it on your laptop — or at all.

This week, Philip Wang, the developer responsible for reverse-engineering closed-sourced AI systems including Meta’s Make-A-Video, released PaLM + RLHF, a text-generating model that behaves similarly to ChatGPT. The system combines PaLM, a large language model from Google, and a technique called Reinforcement Learning with Human Feedback — RLHF, for short — to create a system that can accomplish pretty much any task that ChatGPT can, including drafting emails and suggesting computer code.

But PaLM + RLHF isn’t pre-trained. That is to say, the system hasn’t been trained on the example data from the web necessary for it to actually work. Downloading PaLM + RLHF won’t magically install a ChatGPT-like experience — that would require compiling gigabytes of text from which the model can learn and finding hardware beefy enough to handle the training workload.

The year 2023 is set to be revolutionary for technology, with many disruptive trends expected to reshape how businesses function and how people interact with each other. From metaverse-based virtual workspaces, advancements in quantum computing and green energy sources to innovations in robots and satellite connectivity – here’s a look at the technological trends that could define the coming year.

According to BCG’s “Mind the Tech Gap” survey, a majority of businesses across 13 countries plan to increase their spending on digital transformation in 2023 vs. 2022. The top two areas for future investments are business model transformation and sustainability, with respondents expressing concern over the uncertain return on investment from digital transformation initiatives. Furthermore, Sylvain Duranton, a Senior Partner & Managing Director at Boston Consulting Group, Global Leader of BCG X states that “Despite economic headwinds, 60% of BCG’s recently surveyed companies plan to increase their investments in digital and AI in 2023. But many of those surveyed simultaneously expressed concern over the uncertainty of the ROI from digital transformation. During covid, we saw companies that used advanced digital technologies and AI outperform their counterparts.