Britons' trust in science is at an all-time high after the Covid pandemic, a new report reveals – but misinformation on social media continues to present a'threat to scientific credibility'. The 3M State of Science Index, published on Tuesday, reveals that 90 per cent of UK residents trust science in 2022, compared with 85 per cent in 2019. This stat also compares with 88 per cent of Europeans and 89 per cent of people globally who trust science in 2022. In the UK, 57 per cent of Brits say they are now more appreciative of science after the pandemic, likely due to the efforts of scientists in creating Covid vaccines. However, misinformation'is widespread' on social media and threatens the future of the public's understanding of science, the report says.

An artificial intelligence (AI) tool that can transform famous paintings into different art styles, or create brand new artworks from a text prompt, may work by using a'secret language', experts claim. Text-to-image app DALL-E 2 was released by artificial intelligence lab OpenAI last month, and is able to create multiple realistic images and artwork from a single text prompt. It is also able to add objects into existing images, or even provide different points of view on an existing image. Now researchers believe they may have figured out how the technology works, after discovering that gibberish words produce specific pictures. Computer scientists used DALL-E 2 to generate images that contained text inside them, by asking for'captions' or'subtitles'.

Aspect-based sentiment analysis (ABSA) aims to predict the sentiment expressed in a review with respect to a given aspect. The core of ABSA is to model the interaction between the context and given aspect to extract aspect-related information. In prior work, attention mechanisms and dependency graph networks are commonly adopted to capture the relations between the context and given aspect. And the weighted sum of context hidden states is used as the final representation fed to the classifier. However, the information related to the given aspect may be already discarded and adverse information may be retained in the context modeling processes of existing models. Such a problem cannot be solved by subsequent modules due to two reasons. First, their operations are conducted on the encoder-generated context hidden states, whose value cannot be changed after the encoder. Second, existing encoders only consider the context while not the given aspect. To address this problem, we argue the given aspect should be considered as a new clue out of context in the context modeling process. As for solutions, we design three streams of aspect-aware context encoders: an aspect-aware LSTM, an aspect-aware GCN, and three aspect-aware BERTs. They are dedicated to generating aspect-aware hidden states which are tailored for the ABSA task. In these aspect-aware context encoders, the semantics of the given aspect is used to regulate the information flow. Consequently, the aspect-related information can be retained and aspect-irrelevant information can be excluded in the generated hidden states. We conduct extensive experiments on several benchmark datasets with empirical analysis, demonstrating the efficacies and advantages of our proposed aspect-aware context encoders.

Meiotic maturation is a crucial step of oocyte formation allowing its potential fertilization and embryo development. Elucidating this process is important both for fundamental research and assisted reproductive technology. Few computational tools based on non-invasive measurements are however available to characterize oocyte meiotic maturation. Here, we develop a computational framework to phenotype oocytes based on images acquired in transmitted light. We trained neural networks to segment the contour of oocytes and their zona pellucida using oocytes from diverse species. We defined a comprehensive set of morphological features to describe an oocyte. These steps are implemented in an open-source Fiji plugin. We present a feature based machine learning pipeline to recognize oocyte populations and determine their morphological differences. We first demonstrate its potential to screen oocyte from different strains and automatically identify their morphological characteristics. Its second application is to predict and characterize the maturation potential of oocytes. We identify the texture of the zona pellucida and the cytoplasmic particles size as features to assess mouse oocyte maturation potential and tested whether these features were applicable to human oocyte's developmental potential.

June 6 (Reuters) - When a team of scientists listened to an audio clip recorded underwater off islands in central Indonesia, they heard what sounded like a campfire. Instead, it was a coral reef, teeming with life, according to a study scientists from British and Indonesian universities published last month, in which they used hundreds of such audio clips to train a computer programme to monitor the health of a coral reef by listening to it. A healthy reef has a complex "crackling, campfire-like" sound because of all the creatures living on and in it, while a degraded reef sounds more desolate, life sciences specialist and the team's lead researcher Ben Williams said. The artificial intelligence (AI) system parses data points such as the frequency and loudness of the sound from the audio clips, and can determine with at least 92% accuracy whether the reef is healthy or degraded, according to the team's study published in Ecological Indicators journal. The scientists hope this new AI system will help conservation groups around the world to track reef health more efficiently.

The winners of four IJCAI awards have been announced. These four distinctions are: the Award for Research Excellence, the Computers and Thought Award, the John McCarthy Award and the Donald E. Walker Distinguished Service Award. The Research Excellence award is given to a scientist who has carried out a program of research of consistently high quality throughout an entire career yielding several substantial results. The winner of the 2022 Award for Research Excellence is Stuart Russell (University of California, Berkeley). Stuart is recognized for his fundamental contributions to the development of Bayesian logic to unify logic and probability, the theory of bounded rationality and optimization, and learning and inference strategies for operations in uncertain environments.

Apple Watch is one of the best-designed smartwatches out there and it provides you with a lot more functionality than just tracking your activities and showing time. There are a lot of hidden Apple watch tips and tricks that you may not know about, so here’s a guide on how to enable them. Ease of use is often the focus for many of Apple’s consumer products and Apple Watch is not that different. The Apple Watch packs a lot of functions and you can actually use it for things other than checking the time or tracking your workouts. For most of the part, you may be familiar with many basic functions on the watch but there are some hidden features and recent improvements that enable you to get more out of your watch.  Here are some Apple Watch Uses, tips and tricks that you should try: Continue Reading . . . . . . . . . . . . . . . . . . . . . . . . Apple (AAPL), Wearable Tech, Technology, Gear&gadgets, S&P 500, Corporate Finance, Nasdaq, iPhone, Apple Music, Smartwatches, Wearable Tech, Investing, Stock Markets, Phones, Financial Markets, App Stores, iOS Apps, Capital Markets, Dow Jones Industrial Average, Warren Buffett, Apple Watch, Stocks, iOS, Mobile Payments, iPad, Microsoft, iPhone Apps, Trading, Apple (AAPL), Emerging Technology, Tech Trends, Artificial Intelligence, Innovation, Technology (Israel), Machine Learning, Technology (China), Education Technology, Computer Science, Big Data, Internet of Things, Problem-solving, Augmented Reality, E-Learning, Technology (Australia), Technology (Africa), Startups, Business Technology, Technology (New Zealand), Robotics, Virtual Reality, Analytics, Technology, Technology (India), Technology (UK), Apple (AAPL), Wearable Tech, Technology, Gear&gadgets, S&P 500, Corporate Finance, Nasdaq, iPhone, Apple Music, Smartwatches, Wearable Tech, Investing, Stock Markets, Phones, Financial Markets, App Stores, iOS Apps, Capital Markets, Dow Jones Industrial Average, Warren Buffett, Apple Watch, Stocks, iOS, Mobile Payments, iPad, Microsoft, iPhone Apps, Trading, Apple (AAPL), Emerging Technology, Tech Trends, Artificial Intelligence, Innovation, Technology (Israel), Machine Learning, Technology (China), Education Technology, Computer Science, Big Data, Internet of Things, Problem-solving, Augmented Reality, E-Learning, Technology (Australia), Technology (Africa), Startups, Business Technology, Technology (New Zealand), Robotics, Virtual Reality, Analytics, Technology, Technology (India), Technology (UK), Apple (AAPL), Wearable Tech, Technology, Gear&gadgets, S&P 500, Corporate Finance, Nasdaq, iPhone, Apple Music, Smartwatches, Wearable Tech, Investing, Stock Markets, Phones, Financial Markets, App Stores, iOS Apps, Capital Markets, Dow Jones Industrial Average, Warren Buffett, Apple Watch, Stocks, iOS, Mobile Payments, iPad, Microsoft, iPhone Apps, Trading, Apple (AAPL), Emerging Technology, Tech Trends, Artificial Intelligence, Innovation, Technology (Israel), Machine Learning, Technology (China), Education Technology, Computer Science, Big Data, Internet of Things, Problem-solving, Augmented Reality, E-Learning, Technology (Australia), Technology (Africa), Startups, Business Technology, Technology (New Zealand), Robotics, Virtual Reality, Analytics, Technology, Technology (India), Technology (UK), Apple (AAPL), Wearable Tech, Technology, Gear&gadgets, S&P 500, Corporate Finance, Nasdaq, iPhone, Apple Music, Smartwatches, Wearable Tech, Investing, Stock Markets, Phones, Financial Markets, App Stores, iOS Apps, Capital Markets, Dow Jones Industrial Average, Warren Buffett, Apple Watch, Stocks, iOS, Mobile Payments, iPad, Microsoft, iPhone Apps, Trading, Apple (AAPL), Emerging Technology, Tech Trends, Artificial Intelligence, Innovation, Technology (Israel), Machine Learning, Technology (China), Education Technology, Computer Science, Big Data, Internet of Things, Problem-solving, Augmented Reality, E-Learning, Technology (Australia), Technology (Africa), Startups, Business Technology, Technology (New Zealand), Robotics, Virtual Reality, Analytics, Technology, Technology (India), Technology (UK)

Australia will need to double the pace of its renewable energy uptake to meet the 2030 emissions target set by the Albanese government, even without any increase in demand, according to Bruce Mountain, head of the Victoria Energy Policy Centre. Labor's main energy policy, Rewiring the Nation, includes the creation of a special corporation to funnel $20bn into new transmission links to accelerate the uptake of more clean energy. The plan is part of Labor's pledge to cut Australia's 2005-level greenhouse gas emissions 43% by 2030, projecting renewables reach an 82% share of renewables in the National Electricity Market by then. Excluding hydro power, renewable energy has increased its share of the market 3% annually in the past five years, Mountain says. "Deducting 10% from hydro, the target is 72%," he says of Labor's goal.

Coral reefs are among Earth's most stunning and biodiverse ecosystems. Yet, due to human-induced climate change resulting in warmer oceans, we are seeing growing numbers of these living habitats dying. The urgency of the crisis facing coral reefs around the world was highlighted in a recent study that showed that 91% of Australia's Great Barrier Reef had experienced coral bleaching in the summer of 2021–22 due to heat stress from rising water temperatures. Determining reef health is key to gauging the extent of the problem and developing ways of intervening to save these ecosystems, and a new artificial intelligence (AI) tool has been developed to measure reef health using… sound. Research coming out of the UK is using AI to study the soundscape of Indonesian reefs to determine the health of the ecosystems.

I'm sure you've heard of or seen the movie "The Matrix''. The film follows our protagonist, Neo, as he tries to save humanity from the matrix: a fabricated world created by artificial intelligence to trap humans in. Artificial Intelligence (or "AI" for short) is becoming increasingly more prevalent in our lives and will play an instrumental part in humanity's future. While many view it as something that can be beneficial, it can also be devastatingly destructive. However, the reason we should fear AI has nothing to do with a machine's consciousness or the risk of its rebellion, but something much simpler.