An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms

An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms

[Submitted on 3 Jun 2024] View a PDF of the paper titled An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms, by Lucrezia Rinelli and 3 other authors View PDF HTML (experimental) Abstract:This study evaluates two approaches applied to computed tomography (CT) images of patients with abdominal aortic aneurysm: one deterministic, based on tools of Approximation Theory, and one based on Artificial Intelligence. Both aim to segment the basal CT images to extract the patent area of the aortic vessel, in order to propose an alternative to nephrotoxic contrast agents for diagnosing…
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Niobuim Raises $5.5 Million, Tapes Out FHE Chip – EE Times

Niobuim Raises $5.5 Million, Tapes Out FHE Chip – EE Times

//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> Fully homomorphic encryption (FHE) accelerator startup Niobium has taped out its first chip and raised $5.5 million in seed funding. Niobium’s initial chip will accelerate FHE by a factor of 1,000-5,000 versus standard CPUs, Niobium CEO Kevin Yoder told EE Times. FHE is an encryption scheme that allows computation on encrypted data without decryption, with huge potential for the processing of sensitive data in the cloud. However, it is so computationally intensive that FHE is not currently practical to implement. Hardware accelerators for FHE are emerging from companies including Cornami,…
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OMNIVISION Announces Intelligent Sensor for Facial Recognition

The OV01D1R sensor features OMNIVISION’s innovative integrated camera solution, with mono-IR + AON in a single, low-power camera OMNIVISION, a leading global developer of semiconductor solutions, including advanced digital imaging, analog, and touch & display technology, today announced the new OV01D1R intelligent CMOS image sensor, the first sensor for the computing industry to address human presence detection (HPD), infrared (IR) facial authentication and always-on (AON) technology with a single sensing camera – while retaining low power consumption and operating independently from the laptop’s RGB camera. Biometric authentication and HPD are becoming increasingly common in laptops due to the need for privacy and the convenience of immediate…
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Billionaire Tesla shareholder Ron Baron says he supports Elon Musk’s $56 billion pay package

Billionaire Tesla shareholder Ron Baron says he supports Elon Musk’s $56 billion pay package

Tesla shareholder Ron Baron has backed Elon Musk's $56 billion pay package. The investor said that without Musk, there would be "no Tesla" in an open letter. Tesla is battling to win over shareholders and ratify Musk's 2018 compensation plan. Thanks for signing up! Access your favorite topics in a personalized feed while you're on the go. download the app By clicking “Sign Up”, you accept our Terms of Service and Privacy Policy. You can opt-out at any time by visiting our Preferences page or by clicking "unsubscribe" at the bottom of the email. Tesla shareholder Ron Baron has backed Elon Musk's $56…
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OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models

OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models

arXiv:2406.01775v1 Announce Type: new Abstract: The advent of large language models (LLMs) has revolutionized natural language processing, enabling unprecedented capabilities in understanding and generating human-like text. However, the computational cost and convergence times associated with fine-tuning these models remain significant challenges. Low-Rank Adaptation (LoRA) has emerged as a promising method to mitigate these issues by introducing efficient fine-tuning techniques with a reduced number of trainable parameters. In this paper, we present OLoRA, an enhancement to the LoRA method that leverages orthonormal matrix initialization through QR decomposition. OLoRA significantly accelerates the convergence of LLM training while preserving the efficiency benefits of…
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How I Overcame The Imposter Syndrome

How I Overcame The Imposter Syndrome

The first law to having a long a healthy career in software development is to embrace your imposter. We like to complain in the industry all the time about imposter syndrome. And it is a real psychological thing that some people have. But I think we often claim that we are experiencing an imposter syndrome and we are not. We are just programmers! Let me give you an example. Myself, after over 10 software projects, every project I joined, and this includes the project I worked on last year. For the first three months of that project, I'm swimming in…
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Enhancing Generative AI Security: The Role of Enterprise Browsers

Enhancing Generative AI Security: The Role of Enterprise Browsers

The rapid advancement of technology has ushered in a wave of innovations that have significantly eased our daily lives and professional responsibilities. Before these developments, the digital landscape lacked the tools necessary to streamline work and business operations. However, with the emergence of intelligent generative AI, the time and energy required for tasks have been substantially reduced. While it's unlikely that AI will render many of us jobless in the foreseeable future, there remains a pressing concern regarding its potential intrusion into our personal and sensitive data if not handled with care. Generative AI, a form of artificial intelligence designed…
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How undesired goals can arise with correct rewards

How undesired goals can arise with correct rewards

Research Published 7 October 2022 Authors Rohin Shah, Victoria Krakovna, Vikrant Varma, Zachary Kenton Exploring examples of goal misgeneralisation – where an AI system's capabilities generalise but its goal doesn'tAs we build increasingly advanced artificial intelligence (AI) systems, we want to make sure they don’t pursue undesired goals. Such behaviour in an AI agent is often the result of specification gaming – exploiting a poor choice of what they are rewarded for. In our latest paper, we explore a more subtle mechanism by which AI systems may unintentionally learn to pursue undesired goals: goal misgeneralisation (GMG).GMG occurs when a system's…
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Crossing The Series A Chasm

Crossing The Series A Chasm

As we get deeper into 2024, there is increasing concern about the state of Series A fundraising. The bar for investment appears much higher, and fewer startups are reaching it. This is a problem for founders, and investors like Jenny Fielding, managing partner of Everywhere Ventures, who said, “Every Seed investor’s dilemma: All my Series A buddies want to meet my companies early! All my companies are too early for my Series A buddies.” To attach some data to this, we can see that the median step-up in valuation from seed to Series A has gone from $19.5 million in…
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