A new proposal spells out the very specific ways companies should evaluate AI security and enforce censorship in AI models.
Ever since the Chinese government passed a law on generative AI back in July, I’ve been wondering how exactly China’s censorship machine would adapt for the AI era.
Last week we got some clarity about what all this may look like in practice.
Hollywood actors are on strike over concerns about the use of AI, but for as little as $300, Meta and a company called Realeyes hired them to make avatars appear more human.
One evening in early September, T, a 28-year-old actor who asked to be identified by his first initial, took his seat in a rented Hollywood studio space in front of three cameras, a director, and a producer for a somewhat unusual gig.
The two-hour shoot produced footage that was not meant to be viewed by the public—at least, not a human public.
While Meta hasn’t reinvented the category, it’s nailed the execution. But culturally, is the timing right for smart glasses?
I’m a smart glasses skeptic. Not because the technology is impossible but because I’ve tested several pairs and even dove deep into the category for a two-part mini-documentary a while back. So when I say I was impressed by the $299 Ray-Ban Meta smart glasses, it’s not just that mine came with rose-colored lenses.
To be clear, nothing about the Ray-Ban Meta smart glasses is revolutionary. The Google Glass Explorer Edition first introduced us to modern-day smart glasses in 2013. Several other companies, big and small, have since jumped on the bandwagon, including Snap, … More.
Still a novelty, but one that people might actually use.
Dubbed NorthPole, it excels in terms of performance, energy, and area efficiency.
Artificial intelligence is an energy vampire that runs on substantial computational power. Running AI applications like behavior monitoring, facial recognition software, or live object tracking in real-time, a computing system with faster and more accurate inferences is required. For this to happen, a large AI model must work closely with the source of data.
This problem of moving large amounts of data between compute and memory started with one of the earliest electronic computers, the Electronic Discrete Variable Automatic Computer (EDVAC). The compute and memory of the system were based on differing technologies and had to be operated separately by necessity.
This also means faster robotics and self-driving cars.
Foxconn, the largest producer of iPhones, is joining hands with the biggest chipmaker in the world, NVIDIA, to develop artificial intelligence factories that will power a range of applications like self-driving cars, more generative AI tools, and robotic systems, said a press release.
Dubbed AI factories, they are data centers that will power a wide range of applications, including the digitalization of manufacturing and inspection workflows, the development of AI-powered electric vehicle and robotics platforms, and language-based generative AI services.
The team estimates that their hardware can outperform the best electronic processors by a factor of 100 in terms of energy efficiency and compute density.
A team of scientists from Oxford University and their partners from Germany and the UK have developed a new kind of AI hardware that uses light to process three-dimensional (3D) data. Based on integrated photonic-electronic chips, the hardware can perform complex calculations in parallel using different wavelengths and radio frequencies of light. The team claims their hardware can boost the data processing speed and efficiency for AI tasks by several orders of magnitude.
AI computing and processing power
The research published today in the journal Nature Photonics addresses the challenge of meeting modern AI applications’ increasing demand for computing power. The conventional computer chips, which rely on electronics, need help to keep up with the pace of AI innovation, which requires doubling the processing power every 3.5 months. The team says that using light instead of electronics offers a new way of computing that can overcome this bottleneck.
How basic income works.
Over the course of a year, the Denver Basic Income Project gives participants cash payments of varying amounts. Many participants, some of whom were living on the streets a few months before enrolling in the program, reported feeling safer, happier, and less anxious with better living arrangements.
The Denver Basic Income Project began in 2021 and was granted a $2 million contribution from the city. Researchers at the University of Denver’s Center on Housing and Homelessness Research found most of those who received money from the program were significantly better off six months in.
Dia Broncucia and Justin Searls bought a car, rented an apartment, and improved their mental health after receiving monthly basic-income payments.
Windows 11 Pro ships with a security feature that could severely hamper your solid-state drive’s performance. Fortunately, it is easy enough to turn off but some might not even know it is enabled by default.
BitLocker encryption in Windows 11 Pro is designed to safeguard data and ensure it is only accessible by authorized individuals, but it comes with a steep performance penalty. To find out how much of an impact it could have, Tom’s Hardware recently conducted tests under three scenarios: unencrypted (no BitLocker), software-enabled BitLocker (the Windows 11 Pro default), and hardware-based BitLocker.
The crew used a 4 TB Samsung 990 Pro SSD running Windows 11 Pro (22H2, with all patches installed) paired with an Intel Core i9-12900K and 32 GB of DDR4 RAM for testing.
NVIDIA, which is well known for its GPUs that made possible the training of ChatGPT, has also been working on its development platform, Omniverse, for building 3D tools and applications. Earlier this year, the company unveiled its Voyager AI agent that could build tools 15 times faster than other AI agents in Minecraft.
