Large language models have been shown to ‘hallucinate’ entirely false information, but aren’t humans guilty of the same thing? So what’s the difference between both?
The idea of solar energy being transmitted from space is not a new one. In 1968, a NASA engineer named Peter Glaser produced the first concept design for a solar-powered satellite. But only now, 55 years later, does it appear scientists have actually carried out a successful experiment. A team of researchers from Caltech announced on Thursday that their space-borne prototype, called the Space Solar Power Demonstrator (SSPD-1), had collected sunlight, converted it into electricity and beamed it to microwave receivers installed on a rooftop on Caltech’s Pasadena campus. The experiment also proves that the setup, which launched on January 3, is capable of surviving the trip to space, along with the harsh environment of space itself.
“To the best of our knowledge, no one has ever demonstrated wireless energy transfer in space even with expensive rigid structures. We are doing it with flexible lightweight structures and with our own integrated circuits. This is a first,” said Ali Hajimiri, professor of electrical engineering and medical engineering and co-director of Caltech’s Space Solar Power Project (SSPP), in a press release published on Thursday.
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Three of these procedures have thus far been undertaken in Canada.
A neurosurgeon in Canada has become the first in the nation to perform robot-assisted deep brain stimulation surgery on a patient suffering from epilepsy with success.
This is according to a report by CTV News published on Wednesday.
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“It can also be my opponent. It can help me train.”
An assistant professor of Interactive Computing at the Georgia Institute of Technology has revealed a robotic tennis partner that may soon become your sparring partner and skilled opponent.
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Open-source AI can be defined as software engineers collaborating on various artificial intelligence projects that are open to the public to develop. The goal is to better integrate computing with humanity. In early March, the open source community got their hands on Meta’s LLaMA which was leaked to the public. In barely a month, there are very innovative OpenSource AI model variants with instruction tuning, quantization, quality improvements, human evals, multimodality, RLHF, etc.
Open-source models are faster, more customizable, more private, and capable. They are doing things with $100 and 13B params that even market leaders are struggling with. One open-source solution, Vicuna, is an… More.
This article explores AI in the context of open-sourced alternatives and highlights market dynamics in play.
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Russia claims that its S-350 Vityaz air defence system shot down a Ukrainian aircraft while operating in “automatic mode”. The Russian Deputy PM said that its highly acclaimed S-350 Vityaz air defence system was operating in the NVO zone. It demonstrated capabilities of autonomously detecting, tracking, and destroying Ukrainian air targets without any operator’s intervention. Watch the video to find out how did the system work on AI?
#artificialintelligence #S350Vityaz #worldnews #defencenews.
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Science educator Bill Nye joins CNN’s Jim Acosta to explain the significance of the detection of phosphorus in salty ice grains on Saturn’s moon Enceladus.
A team of researchers successfully constructed nanofiltration membranes with superior quality using the mussel-inspired deposition methods. Such was achieved via a two-part approach to fabricate the thin-film composite (TFC) nanofiltration membranes. Firstly, the substrate surface was coated through fast and novel deposition to form a dense, robust, and functional selective layer. Then, the structure controllability of the selective layer was enhanced by optimizing the interfacial polymerization (IP) process. As a result, the properties of nanofiltration membranes produced are with high durability and added functionality. When put into a bigger perspective, these high-performance TFC nanofiltration membranes are potential solutions to a number of fields, including water softening, wastewater treatment, and pharmaceutical purification. Hence, there is a need to further explore and expand the application in an industrial scale instead of being bound within the walls of the laboratories.
Membrane-based technologies, especially enhanced nanofiltration systems, have been highly explored due to their myriad of distinct properties, primarily for their high efficiency, mild operation, and strong adaptability. Among these, the TFC nanofiltration membranes are favoured for their smaller molecular weight cutoff, and narrower pore size distribution which lead to higher divalent and multivalent ion rejection ability. Moreover, these membranes show better designability owing to their thin selective layer make-up and porous support with different chemical compositions. However, the interfacial polymerization (IP) rate of reaction is known to affect the permeability and selectivity of the TFC nanofiltration membranes by weakening the controllability of the selective layer structure. Therefore, this study was designed to improve the structural quality of the TFC nanofiltration membranes through surface and interface engineering, and subsequently, increase the functionality.
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Background
Many everyday tasks can fall under the mathematical class of “hard” problems. Typically, these problems belong to the complexity class of nondeterministic polynomial (NP) hard. These tasks require systematic approaches (algorithms) for optimal outcomes. In the case of significant complex problems (e.g., the number of ways to fix a product or the number of stops to be made on a delivery trip), more computations are required, which rapidly outgrows cognitive capacities.
A recent Science Advances study investigated the effectiveness of three popular smart drugs, namely, modafinil (MOD), methylphenidate (MPH), and dextroamphetamine (DEX), against the difficulty of real-life daily tasks, i.e., the 0–1 knapsack optimization problem (“knapsack task”). A knapsack task is basically a combinatorial optimization task, the class of NP-time challenging problems.
