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OpenAI’s commitment to child safety: adopting safety by design principles
<div>We’re joining Thorn, All Tech Is Human, and other leading companies in an effort to prevent the misuse of generative AI to perpetrate, proliferate, and further sexual harms against children. </div>
This tiny chip can safeguard user data while enabling efficient computing on a smartphone
Health-monitoring apps can help people manage chronic diseases or stay on track with fitness goals, using nothing more than a smartphone. However, these apps can be slow and energy-inefficient because the vast machine-learning models that power them must be shuttled between a smartphone and a central memory server.
Engineers often speed things up using hardware that reduces the need to move so much data back and forth. While these machine-learning accelerators can streamline computation, they a
Forget Nvidia: These 3 Artificial Intelligence (AI) Stocks Have Between 115% and 127% Upside, According to Select Wall Street Analysts
For more than a year, no investment trend on Wall Street has captivated investors' attention quite like artificial intelligence ... company's A100 and H100 graphics processing units (GPUs ...
Artificial Intelligence
Simply put: No field in computing is as hot or heavily hyped right now as artificial intelligence. Once a science fiction dream, A.I. is now a big part of our everyday lives; whether it’s ...
Artificial Intelligence
This exciting field of computer science focuses on technologies that mimic human intelligence — with AI systems becoming way more prevalent in recent years.
Prediction: These 3 Artificial Intelligence (AI) Stocks Will Outgain Nvidia Over the Next 5 Years
That could prove to be a smart move over the long term. However, there are other artificial intelligence (AI) stocks to consider. I predict the following three AI stocks will outgain Nvidia over ...
To build a better AI helper, start by modeling the irrational behavior of humans
To build AI systems that can collaborate effectively with humans, it helps to have a good model of human behavior to start with. But humans tend to behave suboptimally when making decisions.
This irrationality, which is especially difficult to model, often boils down to computational constraints. A human can’t spend decades thinking about the ideal solution to a single problem.
Researchers at MIT and the University of Washington developed a way to model the behavior of an agent, whether human
Large language models are getting bigger and better
Others are turning to the internet’s vast quantities of audio and visual data, which could be used to train ever-bigger ...
Using deep learning to image the Earth’s planetary boundary layer
Although the troposphere is often thought of as the closest layer of the atmosphere to the Earth’s surface, the planetary boundary layer (PBL) — the lowest layer of the troposphere — is actually the part that most significantly influences weather near the surface. In the 2018 planetary science decadal survey, the PBL was raised as an important scientific issue that has the potential to enhance storm forecasting and improve climate projections.
“The PBL is where the surface interacts with the
Advancing technology for aquaculture
According to the National Oceanic and Atmospheric Administration, aquaculture in the United States represents a $1.5 billion industry annually. Like land-based farming, shellfish aquaculture requires healthy seed production in order to maintain a sustainable industry. Aquaculture hatchery production of shellfish larvae — seeds — requires close monitoring to track mortality rates and assess health from the earliest stages of life.
Careful observation is necessary to inform production scheduling
Q&A: Legal implications of generative artificial intelligence
Maura R. Grossman, JD, Ph.D., is a Research Professor at the Cheriton School of Computer Science, cross-appointed to the ...
3 Questions: Enhancing last-mile logistics with machine learning
Across the country, hundreds of thousands of drivers deliver packages and parcels to customers and companies each day, with many click-to-door times averaging only a few days. Coordinating a supply chain feat of this magnitude in a predictable and timely way is a longstanding problem of operations research, where researchers have been working to optimize the last leg of delivery routes. This is because the last phase of the process is often the costliest due to inefficiencies like long distances
What Is Artificial Intelligence? From Generative AI to Hardware, What You Need to Know
All these different types of artificial intelligence overlap along a spectrum of complexity. For example, OpenAI's powerful GPT-4 AI ... taken so well to natural language processing.
Institute for Physical Artificial Intelligence
Purdue University plays a leading role in the Institute for Agent-based Cyber Threat Intelligence and OperatioN (ACTION), a new National Artificial Intelligence Research Institute. In this role, ...
Introducing OpenAI Japan
<div>We are excited to announce our first office in Asia and we’re releasing a GPT-4 custom model optimized for the Japanese language.</div>
Global Healthcare Natural Language Processing Industry is Expected to Grow at a Sturdy CAGR of 18.0% to Reach US$ 18.5 Billion by 2033 | FMI
The Global Healthcare Natural Language Processing Industry is surging. Expected to reach US$3.5 billion by the end of 2023, ...
Why small language models are the next big thing in AI
The specialized nature of SLMs can lead to improved performance and efficiency in these targeted applications compared to ...
Mass General study identifies an AI model that can accurately assess PTSD in postpartum women
By analyzing the narratives of women who experienced traumatic childbirth and women with non-complicated childbirth, researchers created an AI model that can accurately identify those at risk of ...
A crossroads for computing at MIT
On Vassar Street, in the heart of MIT’s campus, the MIT Stephen A. Schwarzman College of Computing recently opened the doors to its new headquarters in Building 45. The building’s central location and welcoming design will help form a new cluster of connectivity at MIT and enable the space to have a multifaceted role.
“The college has a broad mandate for computing across MIT,” says Daniel Huttenlocher, dean of the MIT Schwarzman College of Computing and the Henry Ellis Warren Professor of Elec
New AI method captures uncertainty in medical images
In biomedicine, segmentation involves annotating pixels from an important structure in a medical image, like an organ or cell. Artificial intelligence models can help clinicians by highlighting pixels that may show signs of a certain disease or anomaly.
However, these models typically only provide one answer, while the problem of medical image segmentation is often far from black and white. Five expert human annotators might provide five different segmentations, perhaps disagreeing on the exist