Lifeboat Foundation

A breakthrough in fluorescence microscopy has been achieved by the research group of Ralf Jungmann at the Max Planck Institute of Biochemistry (MPIB) and Ludwig-Maximilians-Universität (LMU) Munich. The team developed Resolution Enhancement by Sequential Imaging (RESI), a revolutionary technique that enhances the resolution of fluorescence microscopy down to the Ångström scale. This innovation is poised to usher in a paradigm shift in our approach to study biological systems with thus far unprecedented detail.

Cells, the fundamental units of life, contain a plethora of intricate structures, processes and mechanisms that uphold and perpetuate living systems. Many cellular core components, such as DNA, RNA, proteins and lipids, are just a few nanometers in size. This makes them substantially smaller than the resolution limit of traditional light microscopy. The exact composition and arrangement of these molecules and structures is thus often unknown, resulting in a lack of mechanistic understanding of fundamental aspects of biology.

In recent years, super-resolution techniques have made leaps and bounds to resolve many sub-cellular structures below the classical diffraction limit of light. Single molecule localization microscopy, or SMLM, is a super-resolution approach that can resolve structures on the order of ten nanometers in size by temporally separating their individual fluorescence emission.

For the past 20 years, the theory of disruptive innovation has been enormously influential in business circles and a powerful tool for predicting which industry entrants will succeed. Unfortunately, the theory has also been widely misunderstood, and the “disruptive” label has been applied too carelessly anytime a market newcomer shakes up well-established incumbents.

In this article, the architect of disruption theory, Clayton M. Christensen, and his coauthors correct some of the misinformation, describe how the thinking on the subject has evolved, and discuss the utility of the theory.

They start by clarifying what classic disruption entails—a small enterprise targeting overlooked customers with a novel but modest offering and gradually moving upmarket to challenge the industry leaders. They point out that Uber, commonly hailed as a disrupter, doesn’t actually fit the mold, and they explain that if managers don’t understand the nuances of disruption theory or apply its tenets correctly, they may not make the right strategic choices. Common mistakes, the authors say, include failing to view disruption as a gradual process (which may lead incumbents to ignore significant threats) and blindly accepting the “Disrupt or be disrupted” mantra (which may lead incumbents to jeopardize their core business as they try to defend against disruptive competitors).

Summary: Robotic voices with a charismatic tone can positively influence the creative performance of teams.

Researchers designed a social robot’s speech to sound charismatic, employing a confident, passionate tone and tested its effects on students during a creativity task.

The results revealed students were more innovative when the robot used a charismatic tone, leading to more original and elaborate ideas.

CEO Robin Li recently revealed that the company is primed to launch Ernie 3.5, a generative AI large-language model.

Baidu is China’s leading search engine and a powerhouse of technological innovation. Now, they are at the edge of a breakthrough. CEO Robin Li recently revealed that the company is primed to officially launch Ernie 3.5, a generative AI large-language model that promises to revolutionize Baidu’s ChatGPT-like app, Ernie Bot, and enhance its renowned search engine.

The announcement during the prestigious Zhongguancun Forum marks an exciting milestone for Baidu’s journey into advanced artificial intelligence.

Continue reading “Baidu’s AI revolution: CEO announces launch of game-changing generative AI model” »

United Airlines and California-based startup Archer Aviation have announced plans to use flying cars to ferry passengers between Chicago’s O’Hare International Airport and a “vertiport” just minutes from downtown.

“I’m pleased that Chicago residents will be among the first in the nation to experience this innovative, convenient form of travel,” said Chicago Mayor Lori E. Lightfoot.

Continue reading “United Airlines plans to bring flying cars to Chicago” »

At a time when incidents of CCTV Cameras are getting hacked across the world has reached an all-time high, Raxa Security Solutions Ltd, a security company has joined hands with a Bangalore-based IoT cyber security company, Redinent Innovations to address this imperative and serious need.

An influx of federal infrastructure money “shows huge appetite” for innovative solutions to tackle traffic problems, says Shailen Bhatt.

The state of Delaware is set to introduce Artificial Intelligence to keep citizens safe from possible weather threats by predicting them early and broadcasting alerts.

Home to some of the most beautiful beaches on the East Coast, Delaware recovered from a COVID slump to attract a record number of 28.3 million visitors in 2021, expected to be surpassed by 2022 figures to be released later this year.

😗😁

After more than a decade of work by researchers in France and Switzerland, a paralysed man has regained the ability to walk naturally using only his thoughts.

AI is one of humanity’s oldest dreams. It goes back at least to classical Greece and the myth of Hephaestus, blacksmith to the gods, who had the power to bring metal creatures to life. Variations on the theme have appeared in myth and fiction ever since then. But it was only with the invention of the computer in the late 1940s that AI began to seem plausible.

Computers are machines that follow instructions. The programs that we give them are nothing more than finely detailed instructions — recipes that the computer dutifully follows. Your web browser, your email client, and your word processor all boil down to these incredibly detailed lists of instructions. So, if “true AI” is possible — the dream of having computers that are as capable as humans — then it too will amount to such a recipe. All we must do to make AI a reality is find the right recipe. But what might such a recipe look like? And given recent excitement about ChatGPT, GPT-4, and BARD — large language models (LLMs), to give them their proper name — have we now finally found the recipe for true AI?