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September is the start to a new academic year. For many students, this means a fresh start and perhaps a chance to acquire some new study habits. Maybe this is the year you will stop putting everything off until the night before the exam? Now, there is some new evidence to explain why last-minute high-pressure cramming might not be the best way to retain information in the long term.

Imagine you’re an art thief planning an art heist. That was the role people played in a computer game under guidance of researchers from Duke University. But what they remembered about it one day later depended on the instructions they got when they started the game.

In this study, published in Proceedings of the… More.


Curiosity-driven exploration is more likely to help you retain information than having a more urgent mindset, according to a recent study.

Alternative chemistries could address one of the greatest concerns about lithium-ion batteries.

I’d be willing to bet that you probably haven’t spent much time thinking about the liquid that sloshes around inside batteries.

But this liquid—called the electrolyte—is one of their key ingredients, and it dictates a lot about how they work, as well as how safe they are. And I’ve seen a growing number of alternative battery makers talk about using an interesting ingredient in their electrolyte: water.

Alice Parker is working on how to mimic disorders such as schizophrenia.

People have expected great things from Alice Parker, who was raised in a family of distinguished scientists and engineers. And Parker, emerita professor of electrical and computer engineering at the University of Southern California has delivered. She helped develop high-level (behavioral) synthesis, an automated computer design process that assists with the transformation of a behavioral description of hardware into a model of its logic and memory circuits.

Her father, a chemist, was on the team that first synthesized vitamin B1 at pharmaceutical company Merck in New Jersey. In 1941 her uncle Edward Wenk Jr., was… More.

Chief scientist Bill Dally explains the 4 ingredients that brought Nvidia so far.

Nvidia is riding high at the moment. The company has managed to increase the performance of its chips on AI tasks a thousandfold over the past 10 years, it’s raking in money, and it’s reportedly very hard to get your hands on its newest AI-accelerating GPU, the H100.

How did Nvidia get here? The company’s chief scientist, Bill Dally, managed to sum it all up in a single slide during his keynote address to the IEEE’s Hot Chips 2023 symposium in Silicon Valley on high-performance microprocessors last week. Moore’s Law was a surprisingly small part of Nvidia’s magic and new number formats a very large part. Put it… More.

But don’t think about replacing your doctor with a chatbot now, or ever.

Could ChatGPT someday assist doctors in diagnosing patients? It might one day be possible. In a recent study, researchers fed ChatGPT information from fictional patients found in a online medical reference manual to find out how well the chatbot could make clinical decisions such as diagnosing patients and prescribing treatments. The researchers found that ChatGPT was 72 percent accurate in its decisions, although the bot was better at some kinds of clinical tasks than others. It also showed no evidence of bias based on age or gender. Though the study was small and did not use real patient data, the findings point to the… More.

This post is also available in: he עברית (Hebrew)

China has already released over 70 artificial intelligence large language models (LLMs), with more applications being filed every day.

Robin Li, CEO of Baidu said at an industry event in Beijing that more than 70 LLMs have been released in China, which include chatbots from the facial recognition company SenseTime and AI startups Baichuan Intelligent Technology, Zhipu AI, and MiniMax.

Operating from Noida’s Sector 6, a cyber fraud ring exploited leaked American social security numbers from the dark web. The group, adept at mimicking American accents, targeted lakhs of US citizens with calls mimicking US Social Security Administration personnel. While many resisted, a significant number fell victim. Following a tip-off, police raided the premises, arresting 84 and revealing a vast cyber con operation. Masterminds Harshit Kumar and Yogesh Pandit remained at large, having duped over 600 people out of 4 lakh contacted. The call center employees, aware of the fraud, were enticed by high incentives, amassing daily revenues of Rs 40 lakh.

#noida #callcentre #scam #callerscam #scammer #callcenter #callcentertraining #noidakhabar #news #englishnews #delhi #delhi.

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While text-based AI models have been found coordinating amongst themselves and developing a language of their own, communication between image-based models remained an unexplored territory, until now. A group of researchers set out to find how well Google Deepmind’s Flamingo and OpenAI’s Dall-E understand each other — their synergy is impressive.

Despite the closeness of the image captioning and text-to-image generation tasks, they are often studied in isolation from each other, i.e the information exchange between these models remains a question someone never looked for an answer to. Researchers from LMU Munich, Siemens AG, and the University of Oxford wrote a paper titled, ‘Do Flamingo and DALL-E Understand Each Other?‘investigating the communication between image captioning and text-to-image models.

The team proposes a reconstruction task where Flamingo generates a description for a given image and DALL-E uses this description as input to synthesise a new image. They argue that these models understand each other if the generated image is similar to the given image. Specifically, they studied the relationship between the quality of the image reconstruction and that of the text generation. As a result, they found that a better caption is the one that leads to better visuals and vice-versa.