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Search resuls for: "Oliver Whang"


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☆ How to Tell if Your A.I. Is Conscious
  + stars: | 2023-09-18 | by ( Oliver Whang | More About Oliver Whang | ) www.nytimes.com   time to read: +2 min
The report argues that any one of these features could, potentially, be an essential part of what it means to be conscious. And, if we’re able to discern these traits in a machine, then we might be able to consider the machine conscious. And the authors of the recent report are quick to note that theirs is not a definitive list of what makes one conscious. In principle, according to this view, a pinball machine could be conscious, if it were made much more complex. (That might mean it’s not a pinball machine anymore; let’s cross that bridge if we come to it.)
Persons: neuroscientists
☆ What to Know About the Stanford President’s Resignation
  + stars: | 2023-07-19 | by ( Oliver Whang | Benjamin Mueller | More About Oliver Whang | ) www.nytimes.com   time to read: +1 min
Marc Tessier-Lavigne, a renowned neuroscientist, announced on Wednesday that he would step down from his position as president of Stanford University, after the release of an external review of his scientific work found fault with several high-profile journal articles published under his purview. A committee drafted the review in response to allegations that Dr. Tessier-Lavigne was involved in scientific misconduct. In its report, which focused on 12 academic papers, the committee said there was no evidence that Dr. Tessier-Lavigne had knowingly falsified data or withheld such information from the public. In response, Dr. Tessier-Lavigne vowed to retract three of the five articles, request major corrections for two and step down from his position as president. “I am gratified that the panel concluded I did not engage in any fraud or falsification of scientific data,” Dr. Tessier-Lavigne said in a statement, adding: “Although I was unaware of these issues, I want to be clear that I take responsibility for the work of my lab members.”
Persons: Marc Tessier, Lavigne, Tessier, Randy Schekman, Shirley Tilghman, Dr . Tessier, . Tessier, “, Dr, ” Organizations: Stanford University, Physiology, Princeton University
☆ The Race to Make A.I. Smaller (and Smarter)
  + stars: | 2023-05-30 | by ( Oliver Whang | ) www.nytimes.com   time to read: +1 min
Large language models like ChatGPT and Bard, which generate conversational, original text, improve as they are fed more data. Also, bigger language models are harder to understand. In January, a group of young academics working in natural language processing — the branch of A.I. The group called for teams to create functional language models ‌using data sets that are less than one-ten-thousandth the size of those used by the most advanced large language models. A successful mini-model would be nearly as capable as the high-end models but much smaller, more accessible and ‌more compatible with humans.
☆ Why Do We Listen to Sad Songs?
  + stars: | 2023-05-19 | by ( Oliver Whang | ) www.nytimes.com   time to read: +2 min
Maybe sad songs have a similarly dual nature, thought Dr. Knobe and his former student, Tara Venkatesan, a cognitive scientist and operatic soprano. Certainly, research has found that our emotional response to music is multidimensional; you’re not just happy when you listen to a beautiful song, nor simply made sad by a sad one. In 2016, a survey of 363 listeners found that emotional responses to sad songs fell roughly into three categories: grief, including powerful negative feelings like anger, terror and despair; melancholia, a gentle sadness, longing or self-pity; and sweet sorrow, a pleasant pang of consolation or appreciation. (The researchers called their study “Fifty Shades of Blue.”)Given the layers of emotion and the imprecision of language, it’s perhaps no wonder that sad music lands as a paradox. “All our lives we’ve learned to map the relationships between our emotions and what we sound like,” said Tuomas Eerola, a musicologist at Durham University in England and a researcher on the “Fifty Shades” study.
☆ Can Artistry Be Built Into a Machine?
  + stars: | 2023-05-02 | by ( Oliver Whang | ) www.nytimes.com   time to read: +2 min
One day recently, on a table in Jean Oh’s lab in the Squirrel Hill neighborhood of Pittsburgh, a robot arm was busy at a canvas. Her doctoral student, Peter Schaldenbrand, stood alongside. In recent years, Mr. Schaldenbrand has led an effort to bridge the sim-to-real gap between sophisticated image-generation programs like Stable Diffusion and physical works of art like drawings and paintings. This has mainly been manifest in the project known as FRIDA, the latest iteration of which was rhythmically whirring away in a corner of the lab. The process of moving from language prompts to pixelated images to brushstrokes can be complicated, as the robot must account for “the noise of the real world,” Dr. Oh said.
☆ A.I. Is Getting Better at Mind-Reading
  + stars: | 2023-05-01 | by ( Oliver Whang | ) www.nytimes.com   time to read: +1 min
On Monday, scientists from the University of Texas, Austin, made another step in that direction. In a study published in the journal Nature Neuroscience, the researchers described an A.I. But the new language decoder is one of the first to not rely on implants. “This isn’t just a language stimulus,” said Alexander Huth, a neuroscientist at the university who helped lead the research. “We’re getting at meaning, something about the idea of what’s happening.
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