Lifeboat Foundation

Since the recent announcements of OpenView’s ChatGPT, Google’s Bard, and Baidu’s ChatBot, the industry has been in a frenzy advancing Generative AI products and solutions. Brainy Insights estimates that the generative AI market will grow from USD $8.65 billion in 2022 and reach USD 4188.62 billion by 2032. This translates to over 36% CAGR making generative AI one of the next hottest areas to elevate AI innovations. The software segment will account for the highest revenue share of 65.0% in 2021 and is expected to retain its position over the forecast period.

What is Generative AI?

Generative AI is a form of AI that produce various types of content including text, imagery, audio and synthetic data. The recent buzz around generative AI has been driven by the simplicity of new user interfaces for creating high-quality text, graphics and videos in a matter of seconds. Although not a new technology, the introduction of generative adversarial networks, or GANs which is a type of machine learning algorithm has advanced the innovations in using this form of AI.

Continue reading “COQUI : A Generative AI Speech Innovation Will Revolutionize This Market” »

ChatGPT launched a tide wave of interest in AI. For many consumers, AI is finally living up to long overdue expectations. The accomplishments of ChatGPT in a short period of time are phenomenal. But what is yet to come when AI is combined with robotics will change everything.

I have been promoting the advances in robotics for several years. I even called 2022 the year of robotics, partially because of the growing need to overcome shortages in labor and to handle tasks beyond the physical or mental capability of humans, and partially because of the continued advances that AI, accelerated processing, semiconductor, sensors, wireless connectivity, and software technologies are enabling to develop advanced, autonomous machines. Robots are no longer just for the manufacturing floor. They are hazardous material handlers, janitors, personal assistants, food preparers, food deliverers, security guards, and even surgeons that are increasingly autonomous. Essentially, they are AI in the physical world. As a result, robot competitions are heating up from middle schools to Las Vegas.

As seen at CES, robotics technology is advancing rapidly with advances in technology. My favorite examples were the multi-configurable Yarbo outdoor robot and the John Deere See & Spray. Yarbo can be a mower, a leaf blower, or a snow blower. If it could dispose of animal excrement and the annoying neighbor, it would be perfect yard tool. On the other end of the spectrum was the John Deere See & Spray Ultimate, a tractor with up to a 120-foot (36.6m) reach that uses AI/ML to detect weeds smaller than the size of a smart phone camera and spray herbicide accordingly. John Deere also offers self-drive tractors.

The new field of science has been growing with the many advances of the technology.

The surge of available AI tools has seen the introduction of a growing field called prompt engineering, as reported by Canadian Broadcasting Corporation (CBC)

Their goal is to improve the results from companies’ AI tools.

Continue reading “Rise of AI-tech like ChatGPT puts prompt engineers in the limelight” »

Scientists have invented a sustainable glass that could revolutionize the industry.

At any given moment, if you just look around you, you will see something made of glass. Indeed, glass is everywhere, and it is essential to human life.

It’s also, however, non-biodegradable, which causes long-term environmental hazards and social burdens.

It’s called the Einstein Probe and it’s meant to observe the changing universe.

China has ambitious plans to launch a new X-ray astronomical satellite called the Einstein Probe (EP) at the end of this year. This is according to a report by the ChinaDaily.

“The satellite has entered the final stage of development,” he said at the recent 35th National Symposium on Space Exploration.

Continue reading “China to launch lobster eye-like X-ray astronomical satellite this year” »

Color me surprised… a new bipartisan house caucus on longevity.

We in the longevity field have received powerful allies on Capitol Hill with the creation of the bipartisan Congressional Caucus for Longevity Science. We had the opportunity to ask questions of one of its co-chairs.

The fight against aging must become one of humanity’s main priorities if we want to see meaningful progress on a global scale. This requires recruiting allies among politicians and other decision makers.

Continue reading “Rep. Bilirakis on the Longevity Science Caucus” »

The Wow! signal is a radio signal detected by astronomer Jerry R. Ehman on August 15, 1977, while he was analyzing data from Ohio State University’s Big Ear radio telescope.

When the astronomer discovered the signal, he was so impressed with it that he wrote a comment “Wow!.” Thus, the mysterious signal came to be called the Wow! signal.

The signal appeared to come from the Sagittarius constellation, and it lasted for 72 seconds. The signal was unusual because it had a narrow bandwidth, was significantly stronger than background noise, and appeared to come from a fixed point in space.

GPT-4 is here, and you’ve probably heard a good bit about it already. It’s a smarter, faster, more powerful engine for AI programs such as ChatGPT. It can turn a hand-sketched design into a functional website and help with your taxes. It got a 5 on the AP Art History test. There were already fears about AI coming for white-collar work, disrupting education, and so much else, and there was some healthy skepticism about those fears. So where does a more powerful AI leave us?

Perhaps overwhelmed or even tired, depending on your leanings. I feel both at once. It’s hard to argue that new large language models, or LLMs, aren’t a genuine engineering feat, and it’s exciting to experience advancements that feel magical, even if they’re just computational. But nonstop hype around a technology that is still nascent risks grinding people down because being constantly bombarded by promises of a future that will look very little like the past is both exhausting and unnerving. Any announcement of a technological achievement at the scale of OpenAI’s newest model inevitably sidesteps crucial questions—ones that simply don’t fit neatly into a demo video or blog post. What does the world look like when GPT-4 and similar models are embedded into everyday life? And how are we supposed to conceptualize these technologies at all when we’re still grappling with their still quite novel, but certainly less powerful, predecessors, including ChatGPT?

Over the past few weeks, I’ve put questions like these to AI researchers, academics, entrepreneurs, and people who are currently building AI applications. I’ve become obsessive about trying to wrap my head around this moment, because I’ve rarely felt less oriented toward a piece of technology than I do toward generative AI. When reading headlines and academic papers or simply stumbling into discussions between researchers or boosters on Twitter, even the near future of an AI-infused world feels like a mirage or an optical illusion. Conversations about AI quickly veer into unfocused territory and become kaleidoscopic, broad, and vague. How could they not?

Located in southeastern Turkey, Göbekli Tepe is an archaeological site that has been dubbed the “Dawn of Civilization.” It is considered to be one of the most important archaeological discoveries of the 21st century, offering a glimpse into the lives of our ancient ancestors and the birth of human civilization.