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"I like to be taken from behind, but i need love tonight..." 💋
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"I'll soak your mouth with my honey of pleasures!"
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"Wanna be my daddy? I promise i'll be a good girl, obedient and submissive!"
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I wanted to live between those breasts! 🥴
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"I sit on his face, and you sit on his dick! I doubt he'll last more than two minutes..."
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(Xユーザーのカット@さん: 「🐮牛娘ちゃん https://t.co/DSQPMHhsJ4」 / Xから)
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Broadcom's AI surge challenges Nvidia's dominance
New Post has been published on https://thedigitalinsider.com/broadcoms-ai-surge-challenges-nvidias-dominance/
Broadcom’s AI surge challenges Nvidia’s dominance
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Riding the AI wave, semiconductor giant Broadcom has joined the stampede of companies chasing Nvidia for a piece of the lucrative AI chip market. The computing and software conglomerate is up more than 66% in the past year, as it makes power moves to establish itself as one of the most dominant players in AI today. Broadcom has been making aggressive moves that have piqued the interest of analysts and investors, from buying VMware in a $61 billion deal to strengthen its data centre and cloud chops, to investments in AI chip R&D.
Central to Broadcom’s AI aspirations now is its fast-growing AI-connected chip business, which the company said it now forecasts will bring in an astounding $11 billion in revenue for fiscal 2024, up from a previous forecast of $10 billion. Combined with a 15% jump in Broadcom Inc shares recently, the upward revision reinforces the strong appetite for chips driving the rise of generative AI.
Morningstar analysts agreed in a note to Reuters that Broadcom remains “we continue to see Broadcom as incredibly well-positioned to benefit from rising generative AI investment in the long term,” — a view widely held on Wall Street. A second explanation for the upswing in AI for Broadcom is essentially through buying or investing very well over the years.
They come as one of three planned spinoffs in Dell’s drive to become a full-fledged cloud computing firm with the $61 billion acquisition of VMware next year, which also added $50 billion to its market capitalisation, per FactSet data. In addition, Broadcom has been ramping up its own custom AI chip business, inking deals with tech giants including Alphabet’s Google and Meta Platforms.
In March, the company revealed that a third unidentified customer was using its custom AI chips, which gave its business credibility in this high-stakes industry. According to Reuters, “At an investor conference on Wednesday, Broadcom said it will produce the new custom AI chips for ‘hyperscaler’ buyers that are mostly Alphabet’s Google and Meta Platforms.”
Diversified revenue streams and investor optimism
Broadcom’s software division, bolstered by the VMware acquisition, added $2.7 billion to its second-quarter revenue, further diversifying the company’s revenue streams and positioning it as a formidable force in the AI ecosystem. The company’s stock performance reflects this optimism, with shares surging 76% over the past 12 months and closing at a staggering $1,495.5 on Wednesday.
Broadcom’s recent announcement of a 10-for-1 stock split, a move reminiscent of Nvidia’s strategy, is expected to further fuel investor enthusiasm. “It’s a sure-fire way to send your stock soaring,” Triple D Trading analyst Dennis Dick told Reuters, commenting on the stock split, adding that the move was “right out of Nvidia’s book.”
Nvidia’s dominance and competitive pressure
Broadcom is progressing, but Nvidia is still the leader in this space. For years, Nvidia has benefited from the first-mover advantage of producing AI chips that cater to a long tail of applications while favoring innovation over turning in big volume. While that balance appears to be in flux, Broadcom’s recent wins shed light on how the writing may be on the wall for a boom in AI now benefiting more than just one company.
This new contender has even forced Nvidia’s CEO Jensen Huang to admit that ‘a resurgent Broadcom (and other start-ups) have planners at Nvidia nervous. Huang, for his part, stressed how the company must continue to innovate to ensure that it remains ahead of its peers. Nevertheless, competition has yet to make a dent on Nvidia’s enviable lead in the AI chip market as the company busily cranks out its top-performing AI tech.
Broadcom vs Nvidia: The battle for AI chip supremacy
Unlike Nvidia’s graphics processing units which have long dominated the industry, Broadcom’s custom AI chips – or application-specific integrated circuits – might offer a great business opportunity for tech giants with massive and steady-state AI workloads. These bespoke chips require considerable initial capital investment but they can offer large cost savings in both CapEx and power consumption, which sets them up as a more cost-effective (if less general purpose) option to Nvidia’s.
Also bullish on Broadcom is Piper Sandler analyst Harsh Kumar, who writes, “We continue to see [Broadcom] as the best AI play [excluding Nvidia] due to its strong positioning in the custom ASIC business along with its strong software portfolio.”
Broadcom’s multi-pronged strategy of pumping cash into buyouts, offering bespoke chips and expanding into a software business has established it as a strong rival, as the AI revolution shows few signs of abating. Nvidia is still the undisputed leader in the industry, but Broadcom’s bold AI play here was enough to light a fire under investors and analysts both, sowing the seeds of what could become an epic showdown in the market for AI chips.
(Photo by Kenny Eliason)
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.
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Tags: ai, artificial intelligence, broadcom, Nvidia
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Qwen2-Math: A new era for AI maths whizzes
New Post has been published on https://thedigitalinsider.com/qwen2-math-a-new-era-for-ai-maths-whizzes/
Qwen2-Math: A new era for AI maths whizzes
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Alibaba Cloud’s Qwen team has unveiled Qwen2-Math, a series of large language models specifically designed to tackle complex mathematical problems.
These new models – built upon the existing Qwen2 foundation – demonstrate remarkable proficiency in solving arithmetic and mathematical challenges, and outperform former industry leaders.
The Qwen team crafted Qwen2-Math using a vast and diverse Mathematics-specific Corpus. This corpus comprises a rich tapestry of high-quality resources, including web texts, books, code, exam questions, and synthetic data generated by Qwen2 itself.
Rigorous evaluation on both English and Chinese mathematical benchmarks – including GSM8K, Math, MMLU-STEM, CMATH, and GaoKao Math – revealed the exceptional capabilities of Qwen2-Math. Notably, the flagship model, Qwen2-Math-72B-Instruct, surpassed the performance of proprietary models such as GPT-4o and Claude 3.5 in various mathematical tasks.
“Qwen2-Math-Instruct achieves the best performance among models of the same size, with RM@8 outperforming Maj@8, particularly in the 1.5B and 7B models,” the Qwen team noted.
This superior performance is attributed to the effective implementation of a math-specific reward model during the development process.
Further showcasing its prowess, Qwen2-Math demonstrated impressive results in challenging mathematical competitions like the American Invitational Mathematics Examination (AIME) 2024 and the American Mathematics Contest (AMC) 2023.
To ensure the model’s integrity and prevent contamination, the Qwen team implemented robust decontamination methods during both the pre-training and post-training phases. This rigorous approach involved removing duplicate samples and identifying overlaps with test sets to maintain the model’s accuracy and reliability.
Looking ahead, the Qwen team plans to expand Qwen2-Math’s capabilities beyond English, with bilingual and multilingual models in the pipeline. This commitment to inclusivity aims to make advanced mathematical problem-solving accessible to a global audience.
“We will continue to enhance our models’ ability to solve complex and challenging mathematical problems,” affirmed the Qwen team.
You can find the Qwen2 models on Hugging Face here.
See also: Paige and Microsoft unveil next-gen AI models for cancer diagnosis
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.
Explore other upcoming enterprise technology events and webinars powered by TechForge here.
Tags: ai, alibaba cloud, artificial intelligence, maths, models, qwen, qwen2, qwen2-math
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Non-fiction books that explore AI's impact on society - AI News
New Post has been published on https://thedigitalinsider.com/non-fiction-books-that-explore-ais-impact-on-society-ai-news/
Non-fiction books that explore AI’s impact on society - AI News
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Artificial Intelligence (AI) is code or technologies that perform complex calculations, an area that encompasses simulations, data processing and analytics.
AI has increasingly grown in importance, becoming a game changer in many industries, including healthcare, education and finance. The use of AI has been proven to double levels of effectiveness, efficiency and accuracy in many processes, and reduced cost in different market sectors.
AI’s impact is being felt across the globe, so, it is important we understand the effects of AI on society and our daily lives.
Better understanding of AI and all that it does and can mean can be gained from well-researched AI books.
Books on AI provide insights into the use and applications of AI. They describe the advancement of AI since its inception and how it has shaped society so far. In this article, we will be examining recommended best books on AI that focus on the societal implications.
For those who don’t have time to read entire books, book summary apps like Headway will be of help.
Book 1: “Superintelligence: Paths, Dangers, Strategies” by Nick Bostrom
Nick Bostrom is a Swedish philosopher with a background in computational neuroscience, logic and AI safety.
In his book, Superintelligence, he talks about how AI can surpass our current definitions of intelligence and the possibilities that might ensue.
Bostrom also talks about the possible risks to humanity if superintelligence is not managed properly, stating AI can easily become a threat to the entire human race if we exercise no control over the technology.
Bostrom offers strategies that might curb existential risks, talks about how Al can be aligned with human values to reduce those risks and suggests teaching AI human values.
Superintelligence is recommended for anyone who is interested in knowing and understanding the implications of AI on humanity’s future.
Book 2: “AI Superpowers: China, Silicon Valley, and the New World Order” by Kai-Fu Lee
AI expert Kai-Fu Lee’s book, AI Superpowers: China, Silicon Valley, and the New World Order, examines the AI revolution and its impact so far, focusing on China and the USA.
He concentrates on the competition between these two countries in AI and the various contributions to the advancement of the technology made by each. He highlights China’s advantage, thanks in part to its larger population.
China’s significant investment so far in AI is discussed, and its chances of becoming a global leader in AI. Lee believes that cooperation between the countries will help shape the future of global power dynamics and therefore the economic development of the world.
In thes book, Lee states AI has the ability to transform economies by creating new job opportunities with massive impact on all sectors.
If you are interested in knowing the geo-political and economic impacts of AI, this is one of the best books out there.
Book 3: “Life 3.0: Being Human in the Age of Artificial Intelligence” by Max Tegmark
Max Tegmark’s Life 3.0 explores the concept of humans living in a world that is heavily influenced by AI. In the book, he talks about the concept of Life 3.0, a future where human existence and society will be shaped by AI. It focuses on many aspects of humanity including identity and creativity.
Tegmark envisions a time where AI has the ability to reshape human existence. He also emphasises the need to follow ethical principles to ensure the safety and preservation of human life.
Life 3.0 is a thought-provoking book that challenges readers to think deeply about the choices humanity may face as we progress into the AI era.
It’s one of the best books to read if you are interested in the ethical and philosophical discussions surrounding AI.
Book 4: “The Fourth Industrial Revolution” by Klaus Schwab
Klaus Martin Schwab is a German economist, mechanical engineer and founder of the World Economic Forum (WEF). He argues that machines are becoming smarter with every advance in technology and supports his arguments with evidence from previous revolutions in thinking and industry.
He explains that the current age – the fourth industrial revolution – is building on the third: with far-reaching consequences.
He states use of AI in technological advancement is crucial and that cybernetics can be used by AIs to change and shape the technological advances coming down the line towards us all.
This book is perfect if you are interested in AI-driven advancements in the fields of digital and technological growth. With this book, the role AI will play in the next phases of technological advancement will be better understood.
Book 5: “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy” by Cathy O’Neil
Cathy O’Neil’s book emphasises the harm that defective mathematical algorithms cause in judging human behaviour and character. The continual use of maths algorithms promotes harmful results and creates inequality.
An example given in the book is of research that proved bias in voting choices caused by results from different search engines.
Similar examination is given to research that focused Facebook, where, by making newsfeeds appear on users’ timelines, political preferences could be affected.
This book is best suited for readers who want to adventure in the darker sides of AI that wouldn’t regularly be seen in mainstream news outlets.
Book 6: “The Age of Em: Work, Love, and Life when Robots Rule the Earth” by Robin Hanson
An associate professor of economics at George Mason University and a former researcher at the Future of Humanity Institute of Oxford University, Robin Hanson paints an imaginative picture of emulated human brains designed for robots. What if humans copied or “emulated” their brains and emotions and gave them to robots?
He argues that humans who become “Ems” (emulations) will become more dominant in the future workplace because of their higher productivity.
An intriguing book for fans of technology and those who love intelligent predictions of possible futures.
Book 7: “Architects of Intelligence: The truth about AI from the people building it” by Martin Ford
This book was drawn from interviews with AI experts and examines the struggles and possibilities of AI-driven industry.
If you want insights from people actively shaping the world, this book is right for you!
CONCLUSION
These books all have their unique perspectives but all point to one thing – the advantages of AI of today will have significant societal and technological impact. These books will give the reader glimpses into possible futures, with the effects of AI becoming more apparent over time.
For better insight into all aspects of AI, these books are the boosts you need to expand your knowledge. AI is advancing quickly, and these authors are some of the most respected in the field. Learn from the best with these choice reads.
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AI’s role in helping to prevent skin cancer through behaviour change - AI News
New Post has been published on https://thedigitalinsider.com/ais-role-in-helping-to-prevent-skin-cancer-through-behaviour-change-ai-news/
AI’s role in helping to prevent skin cancer through behaviour change - AI News
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In the past year, we’ve seen remarkable achievements across AI-assisted cancer diagnosis as more and more clinicians test, use and integrate AI companions into daily practice.
Skin cancer is no exception, and we expect AI diagnostic tools to be widely implemented across this clinical arena in the future. What does AI assistance look like for skin cancer? A 2024 study led by researchers at Stanford Medicine compared the performance of clinicians diagnosing at least one skin cancer with and without deep learning-based AI assistance. In an experimental environment, clinicians without AI assistance achieved an average sensitivity of 74.8% while for AI-assisted clinicians, sensitivity was around 81.1%.
What’s intriguing is AI helped medical professionals at all levels, with the largest improvement seen among non-dermatologists.
AI for skin cancer can impact behaviour change
Cancer is on the rise among younger people. According to a study published in BMJ Oncology, the number of under-50s worldwide being diagnosed with cancer has risen by nearly 80% in three decades. And, over the last decade melanoma skin cancer incidence rates have increased by almost two-fifths (38%) with Spain seeing a steady incidence increase of 2.4% during this time.
If detected early enough, skin cancer is easily treated and prognosis is very good. But busy lives and competing concerns mean fewer people are getting checked out, resulting in delays to diagnosis and treatment, which is dramatically changing the survival rates. Those who do, often wait to speak to a doctor. In fact, new research from Bupa, Attitudes Towards Digital Healthcare, indicates only 9% of people would immediately go to get a mole they were concerned about examined by a professional.
However, the same research found that if people were able to have a mole assessed by an AI-powered phone app at the time of their choosing, that percentage increases more than threefold (33%). This signifies emerging technology can have a significant impact on positive behaviour change in healthcare and improve clinical outcome of a potentially severe disease.
Bupa now offer an at-home dermatology tool
At Bupa, we see lots of opportunities to use AI and are exploring its use to enhance patient care, improve operational efficiency, and help our customers to live longer, healthier and happier lives. We know that people want their healthcare partner to be by their side, not just when they are sick, but supporting them constantly to keep them well.
That’s why we launched Blua, our digital healthcare service that’s available in over 200 countries. Blua provides access to three lifechanging healthcare innovations that drive convenience and accessibility. They are virtual consultations so that a customer can connect to a health professional from wherever they choose. Digital health programmesthat allow customers to proactively manage their health and remote healthcare services such as prescription delivery and at home monitoring equipment.
For customers in Spain, we offer an at-home dermatology assessment service through Blua. How does this work? Customers who’re worried about a skin lesion can take high resolution photos of it using their smartphone. Once taken, the photos are uploaded to Blua and using AI are compared with a database of millions of other images of skin lesions to check for signs of malignancy.
The tool’s algorithms are able to discern between 302 different skin pathologies. If the tool suspects that there is a cause for concern it will let the customer know to book a follow up appointment with a doctor so that it can be looked at further and preventative action can be taken if needed.
The future of healthcare means early detection
Digital healthcare, together with AI, is going to play a crucial role in removing the barriers that stop people from getting health concerns like moles checked out in a timely manner, promoting positive behaviour change that can save lives. This is why Blua is especially useful in today’s fast-paced world where convenience is paramount and virtual consultations and at home tests will empower individuals to prioritise their health, without the need to sacrifice their time.
(Photo by Nsey Benajah)
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.
Explore other upcoming enterprise technology events and webinars powered by TechForge here.
Tags: AI assistance, Bupa, cancer, healthcare, research
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