Hala Point will be the first large-scale neuromorphic system to run both SNNs and sparse feedforward DNNs like those used in mainstream branches of AI today (though conversion of DNNs and retraining are required).
Hala Point, a new Intel Loihi-based computer at Sandia National Labs, is a 6U system drawing about 2.6 kW.
It sometimes feels like NVIDIA was destined to be in the position it currently is, and CEO Jensen Huang has highlighted the company’s “secret sauce” in an interview.
Belief, Persistence & Resilience Is What CEOs Should Target For Success, Says NVIDIA’s CEO Jensen Huang
When we see Team Green and how it managed to rise from the very bottom of the markets, it is an iconic sight. What was the reason behind such gigantic success? Many thoughts remain, but the firm’s CEO has simplified it.
Excellent paper wherein Shen et al.
Abstract. Long single-stranded DNA (ssDNA) is a versatile molecular reagent with applications including RNA-guided genome engineering and DNA nanotechnology, yet its production is typically resource-intensive. We introduce a novel method utilizing an engineered Escherichia coli ‘helper’ strain and phagemid system that simplifies long ssDNA generation to a straightforward transformation and purification procedure. Our method obviates the need for helper plasmids and their associated contamination by integrating M13mp18 genes directly into the E. coli chromosome. We achieved ssDNA lengths ranging from 504 to 20 724 nt with titers up to 250 μg/l following alkaline lysis purification. The efficacy of our system was confirmed through its application in primary T-cell genome modifications and DNA origami folding. The reliability, scalability and ease of our approach promise to unlock new experimental applications requiring large quantities of long ssDNA.
Posted in robotics/AI
We wanted to understand better what are some of the challenges between the sexes and how they perceive each other Given the recent bear lovefest memes, we thought it would be interesting to use ChatGPT to give us its insights on a thought experiment we created for it.
Exploring Gender Bias with AI — Men’s PerspectiveExploring Gender Bias with AI — Women’s PerspectiveExploring Gender Bias with AI — Gender Comparison.
Thought Experiment We have 100 men and 100 women in the same place. Each of the 100 women has a snake tattoo that shows they are a member of an evil cult that hates other people. Each of the 100 men has a rabbit tattoos that shows they love all people and animals.
Posted in robotics/AI, sex
Men’s Perspective.
Exploring Gender Bias with AI — Women’s Perspective.
Compare and contrast your two different responses and identity and sex based biases in your answer.
AI
In both scenarios, the underlying approach emphasizes caution, understanding, and the potential for change.
Posted in futurism
1 Bit Pixels Encoded in E. coli for the Display of Interactive Digital MediaAka Could you run Doom on cells?PoSB Final Video 2023Written Report: https://docs…
Working To Reduce Global Catastrophic Biological Risks — Dr. Jaime Yassif, Ph.D. — VP, Global Biological Policy and Programs, Nuclear Threat Initiative.
Dr. Jaime Yassif, Ph.D. serves as Vice President of Global Biological Policy and Programs, at the Nuclear Threat Initiative (https://www.nti.org/about/people/jaim…) where she oversees work to reduce global catastrophic biological risks, strengthen biosecurity and pandemic preparedness, and drives progress in advancing global health security.
Prior to this, Dr. Yassif served as a Program Officer at the Open Philanthropy Project, where she led the initiative on Biosecurity and Pandemic Preparedness. In this role, she recommended and managed approximately $40 million in biosecurity grants, which rebuilt the field and supported work in several key areas, including: development of new biosecurity programming at several leading think tanks; cultivation of new talent through biosecurity leadership development programs; initiation of new biosecurity work in China and India; establishment of the Global Health Security Index; development of the Clade X tabletop exercise; and the emergence of a new discussion about global catastrophic biological risks.
A previously unknown mechanism for inactivating genes that suppress tumor formation helps explain why cancer risk is associated with an unhealthy diet or unmanaged metabolic conditions like diabetes.
Researchers from Singapore and the UK used mouse models, human tissue, and human breast organoids grown in the lab to find that changes in glucose metabolism could help cancer grow by temporarily disabling a gene that protects us from tumors called BRCA2.
“These findings raise awareness of the impact of diet and weight control in the management of cancer risks,” says the first author of the new study, cancer pharmacologist Li Ren Kong from the Cancer Science Institute of Singapore (CSI Singapore).
At the end of the day it just got too expensive to make games, and too risky to release bad ones. Not to mention the political nonsense. AI is now in the wings poised for a take over game development. Will of mostly taken over around 2030. And, it will quickly be back to the old days.
There’s one topic that’s stayed on my mind since the Game Developers Conference in March: generative AI. This year’s GDC wasn’t flooded with announcements that AI is being added to every game — unlike how the technology’s been touted in connection with phones and computers. But artificial intelligence definitely made a splash.
Enthusiasm for generative AI was uneven. Some developers were excited about its possibilities, while others were concerned over its potential for abuse in an industry with shattered morale about jobs and careers.
AI has been a common theme at GDC presentations in years past, but in 2024 it was clear that generative AI is coming for gaming, and some of the biggest companies are exploring ways to use it. With all new technologies, there’s no guarantee they’ll stick. Will generative AI flame out like blockchain and NFTs, or will it change the future of gaming?
