Lifeboat Foundation

“Because of the heterogeneity of this disease, scientists haven’t found good ways of tackling it,” said Olivier Gevaert, PhD, associate professor of biomedical informatics and of data science.

Doctors and scientists also struggle with prognosis, as it can be difficult to parse which cancerous cells are driving each patient’s glioblastoma.

Continue reading “Scientists employ AI to predict brain cancer outcomes” »

Enter AI. Multiple deep learning methods can already accurately predict protein structures— a breakthrough half a century in the making. Subsequent studies using increasingly powerful algorithms have hallucinated protein structures untethered by the forces of evolution.

Yet these AI-generated structures have a downfall: although highly intricate, most are completely static—essentially, a sort of digital protein sculpture frozen in time.

A new study in Science this month broke the mold by adding flexibility to designer proteins. The new structures aren’t contortionists without limits. However, the designer proteins can stabilize into two different forms—think a hinge in either an open or closed configuration—depending on an external biological “lock.” Each state is analogous to a computer’s “0” or “1,” which subsequently controls the cell’s output.

A new robotic platform developed at the University of Chicago can adapt to its surroundings in real time for applications in unfamiliar environments.

The platform, dubbed the Granulobot, consists of many identical motorized units each a few centimeters in diameter. The units are embedded with a Wi-Fi microcontroller and sensors and use magnets to engage other units.

Continue reading “Shape-Shifting Robot Swarms Self-Assemble, Adapt to the Unfamiliar” »

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Do Large Language Models really “understand” the world, or just give the appearance of understanding? Evidence (e.g., Othello-GPT) shows LLMs build models of how the world works, which makes me comfortable saying they do understand. More in The Batch: https://t.co/e0JGU2wUbf

Continue reading “Proof that AI Understands? 👀 Andrew Ng on LLMs building mental models, Othello GPT, Geoffrey Hinton” »

An MIT study predicts when artificial intelligence will take over for humans in different occupations.

Why is everyone so worried about teenagers using AI to write their term papers while no one is talking about AI crashing the financial markets? If high school Pat gets an A they didn’t earn that’s one thing, but Megla Corp using AI to corner the stock market and crash the world economy, well that is quite another. I have no proof that large corporations are in a competition to build the perfect trader, the ultimate hedge fund manager, the killer quant, and the optimal analyst all rolled into one ultra-economist AI, but I know, we all know, in our greedy little capitalist hearts, it’s true. This wanna-be hegemonic corporation will have unleashed an economic weapon that can’t be bargained with, can’t be reasoned with, doesn’t feel pity or remorse or fear, and absolutely will not stop… EVER, until you are broke!

The legendary Hedge fund manager Kyle Reese aside, think about the implications of a trading bot that has even just a 2% advantage and how much money that can mean. Casino empires were built on games that have less advantage than that so you are crazy if you don’t think there is a race to build the ultimate TradeGPT. Everyone is looking for an edge because, in a land where money is king, he or she who owns a money printer owns the crown. Wall Street was an early adopter of computers and networks and they got so far out ahead of the regulators that they crashed the market on Black Monday in 1987 dropping the US market almost 25% in a day that sent reverberations around the world.

DALLAS – As the world continues to adapt to the growing trend of Artificial Intelligence (AI), South Korean scientists have unveiled a humanoid robot capable of piloting an aircraft.

Named Pibot, the life-sized robot, measuring 160 cm tall and weighing in at 65 kg, is capable of gripping the controls, memorizing aircraft manuals, and even responding to emergency situations. It is fitted with multiple cameras capable of monitoring the aircraft’s systems and operational conditions.

Currently under development by the Korea Advanced Institute of Science & Technology (KAIST), researchers utilized AI chatbots such as ChatGPT to create ways for PiBot to learn the pilot manuals for various aircraft. The robot can then be changed onto an alternative airframe by clicking the type. It can also memorize worldwide Jeppesen aeronautical navigation charts, an impossible task for its human equivalent.

The danger posed by conversational AI isn’t that it can say weird or dark things; it’s that it can manipulate you without your knowledge.

She uses Chat GPT to write computer code but says the applications are endless. “You need to cut what is not working in your company, go to the edges and start playing with this (AI) and see where it’s going to go. Because they’re predicting you either get on the AI train or you will be out of business in 10 years.”

RELATED: Ohio researchers predict the most critical job skills as AI gains traction

CEO of the KR Digital Agency Kendra Ramirez says businesses can use AI to do work they don’t want to. “HR: who likes writing job descriptions? Anyone? No, no one. Performance reviews: One gentleman, his team, he had 50 people he had to do quarterly performance reviews.”