Doctored images have been around for decades. The term "Photoshopped" is part of everyday language. But in recent years, it has seemingly been replaced by a new word: deepfake. It's almost everywhere online, but you likely won't find it in your dictionary at home. What exactly is a deepfake, and how does the technology work? RELATED STORY | Scripps News Reports: Sex, Lies, and Deepfakes A deepfake is an image or video that has been generated by artificial intelligence to look real. Most deepfakes use a type of AI called a "diffusion model." In a nutshell, a diffusion model creates content by stripping away noise. "With diffusion models, they found a very clever way of taking an image and then constructing that procedure to go from here to there," said Lucas Hansen said. He and Siddharth Hiregowdara are cofounders of CivAI, a nonprofit educating the public on the potential — and dangers — of AI. How diffusion models work It can get complicated, so imagine the AI – or diffusion model – as a detective trying to catch a suspect. Like a detective, it relies on its experience and training. It recalls a previous case -– a sneaky cat on the run. Every day it added more and more disguises. On Monday, no disguise. Tuesday, it put on a little wig. Wednesday, it added some jewelry. By Sunday, it's unrecognizable and wearing a cheeseburger mask. The detective learned these changes can tell you what it wore and on what day. AI diffusion models do something similar with noise, learning what something looks like at each step. "The job of the diffusion model is to remove noise," Hiregowdara said. "You would give the model this picture, and then it will give you a slightly de-noised version of this picture." RELATED STORY | Scripps News got deepfaked to see how AI could impact elections When it's time to solve the case and generate a suspect, we give it a clue: the prompts we give when we create an AI-generated image. "We have been given the hint that this is supposed to look like a cat. So what catlike things can we see in here? Okay, we see this curve, maybe that's an ear," Hiregowdara said. The "detective" works backward, recalling its training. It sees a noisy image. Thanks to the clue, it is looking for a suspect — a cat. It subtracts disguises (noise) until it finds the new suspect. Case closed. Now imagine the "detective" living and solving crimes for years and years. It learns and studies everything — landscapes, objects, animals, people, anything at all. So when it needs to generate a suspect or an image, it remembers its training and creates an image. Deepfakes and faceswaps Many deepfake images and videos employ some type of face swapping technology. You've probably experienced this kind of technology already — faceswapping filters like on Snapchat, Instagram or Tiktok use technology similar to diffusion models, recognizing faces and replacing things in real time. "It will find the face in the image and then cut that out kind of, then take the face and convert it to its internal representation," Hansen said. The results are refined then repeated frame by frame. The future and becoming our own detectives As deepfakes become more and more realistic and tougher to detect, understanding how the technology works at a basic level can help us prepare for any dangers or misuse. Deepfakes have already been used to spread election disinformation, create fake explicit images of a teenager, even frame a principal with AI-created racist audio. "All the netizens on social media also have a role to play," Siwei Lyu said. Lyu is a SUNY Empire Innovation Professor at the University of Buffalo's Department of Computer Science and Engineering, and the director of the Media Forensics Lab. His team has created a tool to help spot deepfakes called "DeepFake-o-meter." "We do not know how to handle, how to deal, with these kinds of problems. It's very new. And also requires technical knowledge to understand some of the subtleties there," Lyu said. "The media, the government, can play a very active role to improve user awareness and education. Especially for vulnerable groups like seniors, the kids, who will start to understand the social media world and start to become exposed to AI technologies. They can easily fall for AI magic or start using AI without knowing the limits." RELATED STORY | AI voice cloning: How programs are learning to pick up on pitch and tone Both Lyu and CivAI believe in exposure and education to help combat any potential misuse of deepfake technology. "Our overall goal is that we think AI is going t impact pretty much everyone in a lot of different ways," Hansen said. "And we think that everyone should be aware of the ways that it's going to change them because it's going to impact everyone." "More than just general education — just knowing the facts and having heard what's going to happen," he added. "We want to give people a really intuitive experience of what's going on." Hansen goes on to explain CivAI's role in educating the public. "We try and make all of our demonstrations personalized as much as possible. What we're working on is making it so people can see it themselves. So they know it's real, and they feel that it's real," Hansen said. "And they can have a deep gut level feel for tthe impact that it's going to have." "A big part of the solution is essentially just going to be education and sort of cultural changes," he added. "A lot of this synthetic content is sort of like a new virus that is attacking society right now, and people need to become immune to it in some ways. They need to be more suspicious about what's real and what's not, and I think that will help a lot as well."
Dukovany Nuclear Power Plant In Czech Republic KE ZHUANG/iStock via Getty Images Summary This article on Uranium Energy ( NYSE: UEC ) should be seen as a continuation of my previous research on Denison Mines ( DNN ), NexGen Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, and no plans to initiate any such positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article. This article should be seen as part of a personal notebook documenting a personal journey. Please consider that I have been consistently wrong in the past. I am not in a position to give advice to anyone. Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.
Howard Krane helped expand the offerings and guide the Chicago-based law firm of Kirkland & Ellis as it grew into a global powerhouse, and also served for seven years as chair of the University of Chicago board. Krane was “strong, creative, demanding but generous, resilient and indefatigably optimistic,” said Emily Nicklin, a Kirkland & Ellis partner and litigator who also served on the U. of C.’s board and chaired the university medical center’s board of trustees. “He evidenced these characteristics as a leader of both Kirkland and the University of Chicago board, (and) in both roles, he led folks who shared a mission to drive their respective organizations to greater successes and heightened eminence.” Howard G. Krane, who served as chair of the University of Chicago board and also taught classes at the U. of C. Law School, in an October 1984 photo. (University of Chicago). Krane, 90, died of natural causes on Nov. 23 at his home in Chicago’s Streeterville neighborhood, said his daughter Hilary. Born in Chicago, Krane grew up in the South Shore neighborhood and graduated from Hyde Park High School. He graduated from Grinnell College and then got his law degree from the U. of C. in 1957. Krane’s first attempt to get a job at Kirkland & Ellis failed. An associate at the firm overheard a partner saying that Krane was not hired because he was Jewish. The associate shared this eavesdropped information with a young antitrust law specialist at the firm, Robert Bork, who went to the firm’s leaders and urged them to give Krane a second look. The firm did so — hiring Krane later in 1957 — and Krane and Bork became close friends. Thirty years later, when President Ronald Reagan made his ill-fated nomination of Bork to the U.S. Supreme Court, Krane testified before the U.S. Senate Judiciary Committee, led by Delaware Sen. Joe Biden, on behalf of his friend, even while acknowledging their political differences. “I am the lawyer who as a young man was the immediate beneficiary of Bob Bork’s insistence to the senior partners of my law firm that it eliminate prejudice and discrimination from its hiring practice in 1957, a time regrettably when quotas and other discriminatory practices were not uncommon within the legal profession and most other parts of society and business,” Krane told senators at the hearing. As a lawyer, Krane’s attributes included a love for solving problems, a strong interest in understanding people’s motivations and a knack for anticipating the future, his daughter said. Stephen Neal, a former Kirkland partner, said that Krane was “frighteningly smart — quick with quips (that) were invariably funny even if you were on the receiving end, but equally quick in cutting through complex, often ambiguous, inevitably less-than-fully-informed situations, diagnosing them and articulating decisive actions and solutions.” “He did all this calmly and confidently and was almost always right, yet there never was a hint of arrogance. He also spoke with utter simplicity and clarity — no matter how complicated the situation or subject, Howard communicated with unambiguous, short words and sentences,” Neal said. Retired Kirkland partner and former Chicago Ald. Bill Singer credited Krane with having a commitment to expand Kirkland into new practice areas with in-house talent. “Howard was the leader of the firm at the time it was becoming not just a local firm but a national firm, and he was not willing to compromise size or even profits for the quality of the work we did,” Singer said. “He always insisted that hiring would be based on quality and that when we expanded, we would not just buy another firm or become a local office for an existing operation, but that any expansion had to be led by home-grown Kirkland talent.” In 1988, Krane joined the U. of C.’s board of trustees and was chair of the university’s medical center board from 1990 until 1992. He then chaired the university’s board from 1992 until 1999. He dealt with financial difficulties, the expansion of the school’s undergraduate program and decisions tied to new buildings and a new business school. Geoffrey Stone, the university’s provost during Krane’s time chairing the university’s board, called Krane “a truly brilliant leader who helped guide the university through a very challenging time.” In 1996, the university announced that a five-year fundraising campaign in search of $500 million wound up generating $676 million. “(The fundraising total) is a testimony to the greatness of the University of Chicago and its importance to this city,” Krane told the Tribune in 1996. “It is a world-class institution, and Chicagoans understand how important it is to the city.” Krane also taught business law classes at the U. of C. law school and chaired a capital campaign. He led the 1984 creation of the U. of C.’s endowed Kirkland & Ellis Professorship in Law. Krane retired first from Kirkland, and then, in 2007, he stepped down from the university’s board. “Howard understood that truly great leadership must be evidenced by great succession,” Nicklin said. “He made no exceptions. Great leaders transfer power with grace and vision. He did that as well, in both his roles.” A first marriage ended in divorce. Krane’s second wife, Janys Harvey, died in 2016. In addition to his daughter, Krane is survived by another daughter, Marie Krane; four grandchildren; three stepchildren, Bennet Harvey, Kyle Harvey and Sasha Mayoras; and four stepgrandchildren. A service is being planned for 2025. Goldsborough is a freelance reporter
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H2C Safety Pipe Welcomes Nick Gaines as Regulatory Affairs SpecialistReigning champion Kansas City edged Carolina and Detroit ripped Indianapolis on Sunday to reach an NFL-best 10-1 while Dallas shocked arch-rival Washington to snap a five-game losing streak. Patrick Mahomes threw for 269 yards and three touchdowns and Spencer Shrader kicked a 31-yard field goal on the final play to lift Kansas City over the host Panthers 30-27. Chuba Hubbard's 1-yard touchdown run and a 2-point conversion run had put Carolina level with 1:46 remaining, setting the stage for the Chiefs' seven-play, 57-yard march to set up the winning kick. Joining the Chiefs with a 10th triumph to keep a conference lead was Detroit, with Jahmyr Gibbs rushing for 90 yards and two touchdowns and David Montgomery running for another score in the Lions' 24-6 triumph at Indianapolis. A wild finish with 38 points in the last 5:16 marked the Dallas Cowboys' 34-26 victory at Washington, where the Commanders appeared to have lost, then made an amazing comeback only to fall in the end. Cooper Rush's second touchdown pass, a 22-yarder to Luke Schoonmaker with 5:16 remaining, gave Dallas a 20-9 edge, but Jayden Daniels threw a 4-yard touchdown pass to Zach Ertz and ran for a 2-point conversion to pull Washington within 20-17. KaVontae Turpin answered with a 99-yard kickoff return touchdown on the ensuing play, but again the Commanders responded as Austin Seibert kicked a 51-yard field goal and Daniels connected with Terry McLaurin on an 86-yard touchdown pass with 21 seconds remaining. Seibert, however, shockingly missed the conversion kick to keep Dallas ahead 27-26 and the Cowboys added a Juanyeh Thomas 43-yard kickoff return touchdown on the next play to seal victory. At Miami, Tua Tagovailoa threw for 317 yards and four touchdowns to spark the Miami Dolphins over New England 34-15. At Chicago, Minnesota's John Parker Romo kicked a 29-yard field goal with 2:10 remaining in overtime to lift the Vikings over the host Bears 30-27. Sam Darnold threw for 330 yards and two touchdowns as the Vikings improved to 9-2. At Houston, Chig Okonkwo caught a 70-yard go-ahead touchdown pass from Will Levis in the fourth quarter as Tennessee upset the host Texans 32-27. Levis threw for 278 yards and two touchdowns and Tony Pollard ran for 119 yards and a touchdown as the Titans reached 3-8 and Houston fell to 7-5. Tampa Bay's Baker Mayfield threw for 294 yards to spark the Buccaneers over the host New York Giants 30-7. js/sevAlyssa Nakken, first full-time female coach in MLB history, leaving Giants to join Guardians
Data science is a dynamic field that evolves with every technological advancement and its integration into business decision-making across diverse industries. In 2024, the demand for data professionals has created tens of thousands of career opportunities. This article explores some of the top data science jobs to apply in 2024, detailing their key responsibilities, required skills, and potential for career growth. Hottest Data Science Jobs 2024 Location : Gurugram, Haryana Employment Type : Full-time Lead projects focused on Generative AI , Data Science , and advanced analytics , ensuring timely delivery and alignment with business goals. Develop and implement data-driven solutions to optimize processes and improve decision-making across organizational functions. Collaborate with marketing, IT, and customer service teams to integrate AI and data science solutions into operations effectively. Perform advanced data analysis using Spark and Python , develop AI/ML models, and implement machine learning algorithms to address complex business challenges. Create clear presentations using Excel and PowerPoint to communicate insights and recommendations to stakeholders. Design impactful visualizations using tools like Tableau or Power BI (optional). Mentor junior team members, fostering innovation, collaboration, and continuous learning. Build and maintain strong client relationships, ensuring satisfaction and proactively addressing issues. Proficiency in Spark , Python , and machine learning algorithms . Strong communication and presentation skills. Familiarity with visualization tools like Tableau and Power BI . Leadership skills to manage teams and projects. This role offers opportunities to work on high-impact projects, develop leadership skills, and advance to senior management positions in data science. Apply Here Location : Delhi Employment Type : Full-time Design, develop, and deploy Generative AI models , leveraging expertise in data science, machine learning, and statistics. Develop NLP techniques , Lang Chain , and Large Language Models (LLMs) to create conversational chatbots and advanced language models tailored to client needs. Collaborate with cross-functional teams to implement advanced AI models and algorithms. Provide thought leadership in Generative AI and NLP , guiding clients toward AI-driven solutions. Conduct data analysis, preprocessing, and modeling to extract actionable insights. Stay updated with advancements in AI technologies, frameworks, and tools, adopting innovations to enhance offerings. Deploy AI applications on cloud platforms like GCP or AWS . Build deep learning models using techniques like CNN , GAN , Transformers , and encoder-decoder algorithms. Develop web applications using frameworks such as Flask , Django , and FastAPI . Expertise in Python , machine learning , deep learning , and data science frameworks like TensorFlow , PyTorch , and scikit-learn . Advanced knowledge of NLP techniques , Generative AI , and LLM frameworks. Proficiency in deploying AI models on cloud platforms like AWS and GCP . Strong problem-solving abilities and technical documentation skills. This role provides exposure to cutting-edge AI technologies and offers pathways to leadership positions within Deloitte’s technology and transformation teams. Apply Here Explore Different Data Science Roles in Various Industries Responsibilities: Data scientists analyze complex datasets to derive meaningful insights that inform business strategies. They build predictive models by applying statistical and machine learning techniques. Skills Needed : Python and R programming, statistical analysis, machine learning, and Tableau or Power BI for data visualization. Package: US$127,000 to US$206,000 per year Responsibilities: Machine learning engineers design and build the algorithms that allow machines to learn from data. They typically work hand in hand with data scientists to deploy models into production environments. Skills Needed: They need strong programming skills, knowledge of the most common machine learning frameworks, and experience with cloud platforms. Examples include Python, Java, TensorFlow, PyTorch, AWS, and Azure. Package: US$112,000 to US$139,000 per year Responsibilities: Data architects design and architect the infrastructure needed in generating and processing data. They ensure that the data flows are seamless from the source systems to the analytics platforms. Skills Needed: SQL fluency, familiarity with ETL tools, big data technologies such as Hadoop, and Spark familiarity, database management system knowledge. Package: US$100,000 to US$130,000 per year Responsibilities: Data architects design the architecture of the data systems of an organization. They create blueprints of data storage and keep the data accessible yet safe. Skills Needed: Expertise in designing databases , data modeling tools, and cloud storage experience. Package: US$120,000 to US$160,000 per year Responsibilities: The business intelligence developers design tools that help organizations with analysis; thus, they empower the organizations to make the correct decisions. They also develop dashboards and reports that convey key performance indicators. Skills Needed: BI tool knowledge, Tableau, Power BI; SQL skills and analytical skills Package: US$90,000 to US$120,000 per year Conclusion: A career in data science offers not only lucrative pay but also the chance to make meaningful contributions across diverse sectors by transforming raw data into actionable insights. Whether beginning a journey in data science or seeking specialization in this versatile field, 2024 and beyond promise abundant opportunities for growth and innovation.The measure spreads out the establishment of the new district judgeships over about a decade to give three presidential administrations the chance to appoint the new judges. 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It makes no sense Pittsburgh Steelers are using ‘not really that good’ player, says LeSean McCoySwiss National Bank reduced its holdings in shares of Masimo Co. ( NASDAQ:MASI – Free Report ) by 0.2% during the third quarter, according to its most recent Form 13F filing with the Securities and Exchange Commission. The firm owned 88,300 shares of the medical equipment provider’s stock after selling 200 shares during the quarter. Swiss National Bank owned approximately 0.17% of Masimo worth $11,773,000 as of its most recent SEC filing. Several other hedge funds and other institutional investors have also bought and sold shares of MASI. NBC Securities Inc. raised its stake in shares of Masimo by 47.1% during the 3rd quarter. NBC Securities Inc. now owns 228 shares of the medical equipment provider’s stock worth $30,000 after purchasing an additional 73 shares during the period. GAMMA Investing LLC raised its position in Masimo by 75.0% in the second quarter. GAMMA Investing LLC now owns 259 shares of the medical equipment provider’s stock worth $33,000 after acquiring an additional 111 shares during the period. Northwestern Mutual Wealth Management Co. boosted its stake in Masimo by 133.3% in the second quarter. Northwestern Mutual Wealth Management Co. now owns 350 shares of the medical equipment provider’s stock valued at $44,000 after acquiring an additional 200 shares during the last quarter. HHM Wealth Advisors LLC grew its position in shares of Masimo by 25.0% during the 2nd quarter. HHM Wealth Advisors LLC now owns 625 shares of the medical equipment provider’s stock valued at $79,000 after acquiring an additional 125 shares during the period. Finally, Lazard Asset Management LLC increased its stake in shares of Masimo by 5,730.0% during the 1st quarter. Lazard Asset Management LLC now owns 583 shares of the medical equipment provider’s stock worth $85,000 after purchasing an additional 573 shares during the last quarter. Hedge funds and other institutional investors own 85.96% of the company’s stock. Masimo Price Performance MASI stock opened at $172.96 on Friday. Masimo Co. has a 12 month low of $91.60 and a 12 month high of $174.34. The company has a current ratio of 2.01, a quick ratio of 1.11 and a debt-to-equity ratio of 0.50. The firm has a market capitalization of $9.26 billion, a P/E ratio of 119.28 and a beta of 0.97. The firm has a 50 day moving average of $143.48 and a 200-day moving average of $128.00. Analysts Set New Price Targets MASI has been the topic of several research analyst reports. Wells Fargo & Company upped their price objective on Masimo from $160.00 to $171.00 and gave the company an “overweight” rating in a research note on Wednesday, November 6th. Stifel Nicolaus reaffirmed a “buy” rating and set a $190.00 price target (up previously from $170.00) on shares of Masimo in a research report on Friday. Raymond James raised Masimo from a “market perform” rating to an “outperform” rating and set a $170.00 price objective for the company in a report on Wednesday, November 6th. Piper Sandler upped their price objective on shares of Masimo from $165.00 to $180.00 and gave the company an “overweight” rating in a report on Wednesday, November 6th. Finally, BTIG Research lifted their target price on shares of Masimo from $166.00 to $170.00 and gave the stock a “buy” rating in a research note on Monday, October 14th. Three research analysts have rated the stock with a hold rating and five have assigned a buy rating to the stock. Based on data from MarketBeat.com, Masimo currently has a consensus rating of “Moderate Buy” and an average price target of $167.00. Check Out Our Latest Analysis on MASI Masimo Company Profile ( Free Report ) Masimo Corporation develops, manufactures, and markets various patient monitoring technologies, and automation and connectivity solutions worldwide. The company offers masimo signal extraction technology (SET) pulse oximetry with measure-through motion and low perfusion pulse oximetry monitoring to address the primary limitations of conventional pulse oximetry; Masimo rainbow SET platform, including rainbow SET Pulse CO-Oximetry products that allows noninvasive monitoring of carboxyhemoglobin, methemoglobin, hemoglobin concentration, fractional arterial oxygen saturation, oxygen content, pleth variability index, rainbow pleth variability index, respiration rate from the pleth, and oxygen reserve index, as well as acoustic respiration monitoring, SedLine brain function monitoring, NomoLine capnography and gas monitoring, and regional oximetry. Read More Receive News & Ratings for Masimo Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for Masimo and related companies with MarketBeat.com's FREE daily email newsletter .
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