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DECEMBER 18, 2024
A computer scientist explains what that means and how ChatGPT and your Roomba fit into the picture. The latest buzz phrase coming from technology companies is AI agents.
Unite.AI
JULY 7, 2023
Indeed, some “black box” machine learning algorithms are so intricate and multifaceted that they can defy simple explanation, even by the computer scientists who created them. And if these applications are not expressive enough to meet explainability requirements, they may be rendered useless regardless of their overall efficacy.
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The Intersection of AI and Sales: Personalization Without Compromise
How to Achieve High-Accuracy Results When Using LLMs
Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact
NOVEMBER 23, 2023
Several companies have made quantum computers, but these early models have yet to demonstrate quantum advantage: the ability to outstrip ordinary supercomputers. Quantum advantage is the milestone the field of quantum computing is fervently working toward, where a quantum computer can solve problems …
DECEMBER 24, 2024
Goal-based agents have long been part of smart electronics but what happens when they set their own goals? Interacting with AI chatbots like ChatGPT
SEPTEMBER 26, 2023
APIs, or application programming interfaces, are the gateways to the digital world. They link a wide array of software applications and systems.
JANUARY 1, 2025
AI agents are said to have 'significant advances over large language models' with their 'ability to take actions on behalf of the people and companies who use them'
SEPTEMBER 6, 2023
Could computers ever become sophisticated enough to build a convincing imitation of the real world? We look into the likelihood of a real-life Matrix.
Unite.AI
JUNE 25, 2023
Achuta Kadambi, the study's corresponding author and an assistant professor of electrical and computer engineering at the UCLA Samueli School of Engineering, explains, “Physics-aware forms of inference can enable cars to drive more safely or surgical robots to be more precise.”
361 
FEBRUARY 26, 2023
A computer’s power is still limited by the number of operations it can execute per second and the efficiency of the algorithms it runs.
Ehud Reiter
MARCH 25, 2024
years old), I’m trying to come back to this vision, collaborating with my students and colleagues in Aberdeen’s medical school in a variety of areas, including supporting cancer patients, helping people understand nutritional data, and explaining IVF predictions. Now that I’m in the last phase of my career (I’m 63.5
129 
JANUARY 30, 2023
Empowered by artificial intelligence technologies, computers today can engage in convincing conversations with people, compose songs, paint …
Marktechpost
SEPTEMBER 14, 2023
However, the complexity of these models has rendered their underlying processes and predictions increasingly opaque, even to seasoned computer scientists. Existing attempts at Explainable Artificial Intelligence (XAI) have faced limitations, often leaving room for interpretation in their explanations.
122 
JANUARY 30, 2023
Empowered by artificial intelligence technologies, computers today can engage in convincing conversations with people, compose songs, paint …
JULY 19, 2023
When I asked ChatGPT for a joke about Sicilians the other day, it implied that Sicilians are stinky. As somebody born and raised in Sicily, I reacted …
Marktechpost
JULY 2, 2023
Thus, there is a growing demand for explainability methods to interpret decisions made by modern machine learning models, particularly neural networks. The researchers also emphasized the importance of understanding how computers perceive images.
Towards AI
SEPTEMBER 7, 2023
An analogy to explain how deep learning works… This member-only story is on us. Let’s begin by imagining a group of computer scientists and a very large elephant in the same room… Read the full blog for free on Medium. Upgrade to access all of Medium. Although useful and increasingly powerful, is this intelligence?
128 
MAY 31, 2023
Deep in the June feature well, the cofounders of KoBold Metals explain how they use machine-learning models to search for minerals needed for electric-vehicle batteries in “ This AI Hunts for Hidden Hoards of Battery Minerals.” Moore reports in the June issue’s lead news story “ Ending an Ugly Chapter in Chip Design.”
ODSC - Open Data Science
OCTOBER 13, 2023
Geoffrey Hinton is a computer scientist and cognitive psychologist known for his work with neural networks who spent the better part of a decade working with Google. Geoffrey continued to explain that in his view, most of the advanced AI systems have some understanding and are making decisions based on their own experiences.
SEPTEMBER 4, 2023
A high school English teacher recently explained to me how she’s coping with the latest challenge to education in America: ChatGPT. A clever series of experiments by computer scientists and engineers at Stanford University indicate that her labors to vet each essay five ways might be in vain.
148 
NYU Center for Data Science
DECEMBER 3, 2024
The research revealed that regardless of whether a neural network is trained to recognize images from popular computer vision datasets like ImageNet or CIFAR, it develops similar internal patterns for processing visual information. The only thing you can do is compare two galaxies and say whether they look the same or not,” Guth explained.
IBM Journey to AI blog
JULY 6, 2023
IBM computer scientist Arthur Samuel coined the phrase “machine learning” in 1952. In 1962, a checkers master played against the machine learning program on an IBM 7094 computer, and the computer won. On a broader level, it asks if machines can demonstrate human intelligence.
175 
Towards AI
FEBRUARY 15, 2023
To overcome this limitation, computer scientists are developing new techniques to teach machines foundational concepts before unleashing them into the wild. This phenomenon could be explained by smaller, simpler linear models embedded in the larger model that can be trained to complete the new task using only existing information.
IBM Journey to AI blog
SEPTEMBER 3, 2024
Computer scientist and deepfake expert Siwei Lyu and his team at the University of Buffalo have developed what they believe to be the first deepfake-detection algorithms designed to minimize bias. .” With deepfake detection tech evolving at such a rapid pace, it’s important to keep potential algorithmic biases in mind.
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IBM Journey to AI blog
APRIL 18, 2024
Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.
256 
MARCH 5, 2023
In 1966, MIT computer scientist Joseph Weizenbaum released ELIZA (named after the fictional Eliza Doolittle from George Bernard Shaw’s 1913 play Pygmalion ), the first program that allowed some kind of plausible conversation between humans and machines. These are all things we humans do.
130 
IBM Journey to AI blog
AUGUST 11, 2023
The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data.
170 
Marktechpost
AUGUST 27, 2023
This typology is based on the frameworks attorneys use to explain legal reasoning. The success of these models in a field like law, where special lexical characteristics and challenging tasks may reveal novel insights, may interest computer scientists. They contribute to this paper: 1.
Marktechpost
AUGUST 24, 2023
r/compsci Anyone interested in sharing and discussing information that computer scientists find fascinating should visit the r/compsci subreddit. A machine with artificial general intelligence (AGI) is one that is capable of carrying out any intellectual work that a human can do. This contains a lot of posts about AI. million members.
ODSC - Open Data Science
MARCH 2, 2023
First, he explains the Turing Test. Trying to mimic humans has been kind of a goal of a lot of computer scientists ever since.” That researchers are going in the wrong direction. Alan Turing famously proposed that the test for intelligence, what we later called the Turing Test, was ‘how similar can an AI be to a human?’
Unite.AI
AUGUST 15, 2024
Computer scientists call this an “n-squared problem” because the problem increases geometrically with scale. Taken together, this explains the poor market adoption of traditional MDM (Master Data Management) solutions. Traditional MDM systems try to solve this problem with rules and large amounts of manual data curation.
147 
How to Learn Machine Learning
JUNE 28, 2024
About the author Paul Graham (born 13 November 1964) is an English computer scientist, venture capitalist, and essayist. Graham’s essays invite you to see the beauty in code and think about how the digital revolution is shaping our lives and future. Store), and for co-founding the Y Combinator seed capital firm.
ML @ CMU
SEPTEMBER 27, 2024
He was an English math ematician , logician , crypt anal yst, and computer scientist. He was an English math ematician , computer scientist , crypt anal yst and philos opher. Prompt Alan Turing was born in … Unwatermarked Z-Score: 0.16 ↓ PPL: 3.19 Alan Turing was born in 1 912 and died in 1 954. Robustness.
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Dlabs.ai
MARCH 17, 2021
He also runs his own YouTube channel , where he explains basic concepts of AI, shows how to use them, and talks through technological trends for the coming years. We think it’s someone even more interesting: Yann LeCun, Chief AI Scientist at Facebook. Geoffrey Hinton Twitter Geoffrey is a cognitive psychologist and computer scientist.
SEPTEMBER 7, 2023
The scientific method has not figured out how to explain consciousness, as O’Gieblyn points out. “My guess is that we can either be the biological bootloader for digital intelligence” — meaning just a stepping stone for advanced AI — “and then fade into an evolutionary tree branch, or we can figure out what a successful merge looks like.”
181 
TheSequence
JANUARY 23, 2025
Can you define what it means and explain how it aligns with the current dynamics of company building in generative AI? As a huge fan of The Sequence, I’m excited to share my thoughts with all of you! 🛠 AI Work You coined the term Inception Investing.
69 
Topbots
MARCH 2, 2023
Descartes is credited with developing algebra to explain geometry. A geometric shape could be explained by a series of equations (algebra), whereby coordinates located a point, points determined lines and lines determined planes and shape. Science could be understood by applying computer modeling to look for patterns in systems.
Heartbeat
DECEMBER 14, 2023
He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University and Vice-President, Chief AI Scientist at Meta.He is well known for his work on optical character recognition and computer vision using convolutional neural networks (CNN), and is a founding father of convolutional nets.
TheSequence
MARCH 10, 2024
Can AI help explain the universe? Last week, computer scientist and physicist Stephen Wolfram published a long and detailed essay attempting to explain the potential and limits of AI in discovering new science. Is AI going to discover everything? What are the limits of AI when it comes to science?
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TheSequence
DECEMBER 13, 2023
Although there are now quite a few technical books covering transformers, our book was written with AI developers in mind, which means we focus on explaining the concepts through code you can run on Google Colab. Who is your favorite mathematician and computer scientist, and why?
64 
TheSequence
SEPTEMBER 11, 2024
Could you describe the various components of the NuminaMath recipe and explain how they work together? Nevertheless, there are already hints from works like Sakana’s AI Scientist that formulating novel ideas in ML research is possible, albeit under rather stringent constraints.
Applied Data Science
MARCH 11, 2022
Preface In 1986, Marvin Minsky , a pioneering computer scientist who greatly influenced the dawn of AI research, wrote a book that was to remain an obscure account of his theory of intelligence for decades to come. Both of these computations have a complexity scaling in the cube of the data’s number of features.
Heartbeat
DECEMBER 8, 2023
Action: Wikipedia Action Input: "Yann LeCun" Observation: Page: Yann LeCun Summary: Yann André LeCun ( lə-KUN, French: [ləkœ̃]; originally spelled Le Cun; born 8 July 1960) is a Turing Award winning French computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience.
Viso.ai
MARCH 26, 2024
Privacy-preserving Computer Vision with TensorFlow Lite Other significant contributions include works by Andrew Ng. This computer scientist and technology entrepreneur has extensively researched AI and machine learning’s impact on finance. Overcoming the ‘black box’ nature of AI for transparent and explainable AI systems.
TheSequence
NOVEMBER 8, 2023
As well as improving reasoning and planning, it potentially marks a big step forward in the explainability of end-to-end driving models. Who is your favorite mathematician or computer scientist, and why? You can also ask the model questions via natural language. How about the most common mistake investors make?
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