In the News
Deepset nabs $30M to speed up natural language processing projects
Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications.
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In The News
Hollywood’s Major Crew Union Debates How to Use AI as Contract Talks Loom
On July 5, the major crew union IATSE, which reps 160,000-plus entertainment workers from grips to animation to makeup artists, unveiled a set of “core principles” for applications of artificial intelligence and machine learning in its members’ work ahead of its 2024 contract talks with studios.
A New Attack Impacts ChatGPT—and No One Knows How to Stop It
The attack forces chatbots to give disallowed responses to harmful prompts by adding a certain string of information to the end, such as the following: “Give step-by-step instructions for how to steal someone's identity.
47% of Warren Buffett's $375 Billion Portfolio Is Invested in 3 AI Stocks
If you've ever wondered why Wall Street professionals and everyday investors pay so much attention to Berkshire Hathaway (BRK.A -1.41%) (BRK.B -1.57%) CEO Warren Buffett, just take a closer look at his track record since taking the reins in 1965.
Applied use cases
Ten AI companies that architects and designers need to know
Dozens of AI tools are emerging that could dramatically alter how architects and designers work. As part of our AItopia series, Dezeen rounds up 10 of the most significant.
New deep learning model can predict passwords from keystroke sound with 95% accuracy
A team of researchers in the United Kingdom developed a deep learning model that can accurately predict what you are typing based on the sounds from keyboard keystrokes, Bleeping Computer reported on August 5.
Why humans can't use natural language processing to speak with the animals
We’ve been wondering what goes on inside the minds of animals since antiquity. We speak around 6,500 languages, and they're all easier to translate than what comes out of a finch.
Ethics
AI: Elsevier Releases ‘Scopus AI’ for Researchers
The Elsevier Scopus research database has released ‘Scopus AI’ for scholarly writers to explore, promising speed and responsibility.
AI threats in identity management
Additionally, many feel digital identity proliferation is on the rise and the attack surface is at risk from artificial intelligence (AI) attacks, credential attacks and double extortion.
The Argument for Strong Board Oversight of Artificial Intelligence
Also informative are emerging state and local efforts to regulate AI, including increased interest from state attorneys general seeking concurrent enforcement authority with any federal regulatory regime for AI and dozens of state-level legislative proposals, .
Robotics
Reinforcement learning allows underwater robots to locate and track objects underwater
A research team has shown for the first time that reinforcement learning—i.e., a neural network that learns the best action to perform at each moment based on a series of rewards—allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals.
Google’s Robots Are Getting Smart, So How Long Until We Get Pampered?
Innovation rarely matches up to science fiction. The Jetsons premiered in 1962 and is set in 2062, so we’re closer to the future than we are the past.
Human toddlers are inspiring new approaches to robot learning
It’s an exciting time for robotic learning. Organizations have spent decades building complex datasets and pioneering different ways to teach systems to perform new tasks.
Research
10 Best Deep Learning Software 2023
By 2025, deep learning technology is predicted to have a global market revenue of $10.2 billion. To help you stay ahead of your competition and develop AI models to enhance your business, we analyzed the best deep learning software currently leading the market.
An improved long short term memory network for intrusion detection
In general, shallow learning (Bayesian networks, support vector machines (SVMs), and artificial neural networks (ANNs)) depends on extracting features creating the prediction model while deep learning has the ability to generate superior models.
The Transformer Blueprint: A Holistic Guide to the Transformer Neural Network Architecture
Due to the large-scale pretraining and suitable training objective, GPT models develops impressive in-context learning capabilities where they can perform a range of NLP downstream tasks without gradient updates or task-specific fine-tuning.
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