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In today’s society, being happy and having an optimistic attitude are social expectations that weigh heavily on how we live and the choices we make.

Some psychologists have pointed out how has evolved into an industry. In turn, this has created what I call a happiness imperative, the social expectation that we should all aspire to happiness.

But this can be an obstacle to happiness. This is why, as a researcher in philosophical , I argue that if we actually want to live better lives, pessimism is the philosophical system that can help us achieve it.

However, AI functionalities on these tiny edge devices are limited by the energy provided by a battery. Therefore, improving energy efficiency is crucial. In today’s AI chips, data processing and data storage happen at separate places – a compute unit and a memory unit. The frequent data movement between these units consumes most of the energy during AI processing, so reducing the data movement is the key to addressing the energy issue.

Stanford University engineers have come up with a potential solution: a novel resistive random-access memory (RRAM) chip that does the AI processing within the memory itself, thereby eliminating the separation between the compute and memory units. Their “compute-in-memory” (CIM) chip, called NeuRRAM, is about the size of a fingertip and does more work with limited battery power than what current chips can do.

“Having those calculations done on the chip instead of sending information to and from the cloud could enable faster, more secure, cheaper, and more scalable AI going into the future, and give more people access to AI power,” said H.-S Philip Wong, the Willard R. and Inez Kerr Bell Professor in the School of Engineering.

Discussion with Joscha Bach, Marcus Bingenheimer, Pei Wang, and Simon Wiles about Buddhist models of the mind and contemporary research in Artificial General Intelligence.

This event was a Global Studies webinar, co-sponsored by the Science, Technology, and Society CHAT Interdisciplinary Research Group, and the Temple University Libraries. It took place on 2021/03/05.

To view other library event recordings, visit: https://library.temple.edu/watchpastprograms

Alternate history has never been more entertaining than in the hit Apple TV+ series, “For All Mankind.” The science fiction television show is so popular that it was renewed for a fourth season even before Season 3 ended on August 12, 2022.

Unlike most science fiction, “For All Mankind” re-imagines the past instead of envisioning the future. Starting in the 1960s and running through the 1990s in Season 3, the series is built around the space race that began with the United States and the Soviet Union competing to reach the moon. But in the fantastical world created by “For All Mankind,” things turn out very differently. Here are five fictional realities showing how the series cleverly rewrites history.

Summary: A new predictive model is able to determine who will change their minds about contentious scientific information when presented with evidence-based research.

Source: Santa Fe Institute.

A new kind of predictive network model could help determine which people will change their minds about contentious scientific issues when presented with evidence-based information.

This Friday, Meta chief Mark Zuckerberg has shared another post on Instagram after being trolled for the previous one. He stated that Meta is actually working on the graphics, which seemed literally “poor” in the first image.

Must have seen all the mockings and the memes about the amateur-looking picture.


Mark Zuckerberg shared a post on Instagram: “Major updates to Horizon and avatar graphics coming soon. I’ll share more at Connect. Also, I know the photo I posted earlier this week was pretty basic — it was taken very quickly to celebrate a launch. The graphics in Horizon are capable of much more — even on headsets — and Horizon is improving very quickly.”. Follow their account to see 239 posts.