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A New Beginning: The Conclusion of the Fiscal Year for Australian Enterprises

Australia, blog, come market your business with me, come market your business with me program, end of financial year, EOFY, financial year, market your business, Robotic Marketer, UncategorizedJuly 1, 202443Views0Likes0Comments
The End of Financial Year (EOFY) is a crucial time for businesses in Australia, signalling the close of one financial year and heralding the start of a new one. It is a time where businesses must ensure financial records are accurate and up to date for lodging tax returns to the Australian Taxation Office (ATO),…

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Establishing a Rhythm for Achievement via Daily Online Seminars

AI-Driven Marketing, blog, come market your business with me, daily webinars, Marketing cadence, Marketing program, Robotic Marketer, UncategorizedJuly 1, 202428Views0Likes0Comments
In the uncertain economic climate, the “Come Market Your Business With Me” program aids small to medium-sized businesses (SMBs) through a series of daily webinars. These webinars are designed to help businesses stay up-to-date with their marketing needs by maintaining a regular plan of action. Email marketing is highlighted as a critical tool for customer engagement.…

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The research reveals that the human brain responds uniquely to voices from humans and artificial intelligence.

AI risks, Ethics & Society, Generative AI, UncategorizedJuly 1, 202433Views0Likes0Comments
While technological advancements have brought about an era where artificial intelligence (AI) voices closely mimic the sound of human speech, correctly identifying whether a voice has originated from human or AI remains a taxing task for most people, according to a new study from psychology researchers at the University of Oslo. As voice cloning technology…

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In-depth Examination of the Efficacy of Vision State Space Models (VSSMs), Vision Transformers, and Convolutional Neural Networks (CNNs)

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 1, 202432Views0Likes0Comments
Deep learning models such as Convolutional Neural Networks (CNNs) and Vision Transformers have seen vast success in visual tasks like image classification, object detection, and semantic segmentation. However, their ability to accommodate different data changes, particularly in security-critical applications, is a significant concern. Many studies have assessed the robustness of CNNs and Transformers against common…

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This article examines the significance and effects of interpretability and analysis work in Natural Language Processing (NLP) research.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 1, 202432Views0Likes0Comments
Natural Language Processing (NLP) has seen significant advancements in recent years, mainly due to the growing size and power of large language models (LLMs). These models have not only showcased remarkable performances but are also making significant strides in real-world applications. To better understand their working and predictive reasoning, significant research and investigation has been…

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Brown University scientists are investigating how preference tuning can be generalized across languages without prior exposure in order to make large language models less harmful.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 1, 202430Views0Likes0Comments
Large language models (LLMs) have gained significant attention in recent years, but their safety in multilingual contexts remains a critical concern. Studies have shown high toxicity levels in multilingual LLMs, highlighting the urgent need for effective multilingual toxicity mitigation strategies. Strategies to reduce toxicity in open-ended generations for non-English languages currently face considerable challenges due to…

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Reducing Expenses without Sacrificing Efficiency: Implementing Structured FeedForward Networks (FFNs) in Transformer-Based Language Model Systems (LLMs)

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 1, 202432Views0Likes0Comments
Improving the efficiency of Feedforward Neural Networks (FFNs) in Transformer architectures is a significant challenge, particularly when dealing with highly resource-intensive Large Language Models (LLMs). Optimizing these networks is essential for supporting more sustainable AI methods and broadening access to such technologies by lowering operation costs. Existing techniques for boosting FFNs efficiency are commonly based…

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Introducing Rakis: A Browser-Based, Decentralized Network Utilizing Verifiable Artificial Intelligence (AI)

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedJuly 1, 202429Views0Likes0Comments
Rakis is an open-source, decentralized AI inference network. Traditional AI inference methods typically rely on a centralized server system, which poses multiple challenges such as potential privacy risks, scalability limitations, trust issues with central authorities, and a single point of failure. Rakis seeks to address these problems through focusing on decentralization and verifiability. Rather than…

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This AI study from UC Berkeley investigates the capability of language models to undergo self-play training for collaborative tasks.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJuly 1, 202426Views0Likes0Comments
The artificial intelligence (AI) industry has seen many advancements, particularly in the area of game-playing agents such as AlphaGo, which are capable of superhuman performance via self-play techniques. Now, researchers from the University of California, Berkeley, have turned to these techniques to tackle a persistent challenge in AI—improving performance in cooperative or partially cooperative language…

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MIT researchers studying the implications and uses of generative AI receive a second round of funding through seed grants.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 1, 202438Views0Likes0Comments
Last year, MIT President Sally Kornbluth and Provost Cynthia Barnhart launched an initiative to compile and publish proposals on the subject of generative artificial intelligence (AI). They requested submissions of papers detailing effective roadmaps, policy recommendations, and calls for action to further develop and understand the field. The appeal for the first round of papers generated…

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Controversy surrounds Perplexity AI for supposed misuse of web scraping.

Data scraping, Industry, Machine learning, UncategorizedJuly 1, 202439Views0Likes0Comments
Perplexity AI, a company that blends a search engine with generative AI to deliver AI-created content related to user search queries, has been accused of unethical data collection practices. It allegedly scraped content from several websites, including those that expressly disallow it, without proper protocol. The controversy began on June 11th when Forbes claimed that…

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