Artificial Intelligence News - Page 22

A group of three graduate students at Stanford built an AI model that is capable of identifying the location of photographs by simply looking at the picture.

The developers of the AI claim the model, which has been trained on Google Street View data, is capable of correctly predicting the location of where a photograph was taken with 95% accuracy and within 25 miles of the real location. The team noted that this new AI model has real-world applications rather than just being used to track the location of people, as the new model could be used to promptly identify roads with downed power lines or biological surveys of regions.

The trio of engineers got the idea for the new AI model by being fans of the online game GeoGuessr, which places a player somewhere around the globe using Google Street View. The player is then required to guess their location by dropping a pin on the map, and the closer the players get to their actual location, the higher the score they get. To create the new AI model officially called "Predicting Image Geolocations" (PIGEON), the team of engineers used OpenAI's CLIP neural network, which learns about images through text.

A group of scientists taught an artificial intelligence-powered algorithm to detect autism with photos of children's eyes.

A new study published in the JAMA Network Open earlier on December 15 details a team of researchers training an AI algorithm with photos of children's eyes to detect childhood autism. The paper explained that the AI model was trained on 1,890 retina images captured from 958 participants with an average age of 7.8 years.

Notably, half of the participants in the study were already diagnosed with Autism Spectrum Disorder (ASD), and once the model finished analyzing each of the retina images, it was asked if it could spot ASD within the images. According to the study, the AI was able to identify which study participants had autism and those that didn't with "100% accuracy". The team behind the study notes that it limited the participants to ages between 4 and 18, but they believe the algorithm could work on even younger children.

Intel has had a lot to talk about lately; at its recent AI Everywhere event, the company unveiled its new 5th Gen Xeon "Emerald Rapids" CPU platform, the new Core Ultra branding and their Meteor Lake CPUs, as well as its next-gen AI accelerator: Gaudi 3.

But now we've got reports from Korean media that Intel's upcoming Gaudi 3 AI accelerator could compete with NVIDIA's current-gen H100 AI GPU and AMD's just-announced Instinct MI300X AI accelerator. Intel CEO Pat Gelsinger said: "Our Gaudi roadmap remains on track with Gaudi3 out of the fab, now in packaging and expected to launch next year. In 2025, Falcon Shores brings our GPU and Gaudi capabilities into a single product".

We know that the new Intel Gaudi 3 AI accelerator will have 1.5x more performance than the previous-gen Gaudi 2, as well as 4x more BFloat16 performance, twice the compute power, and a 50% bump in memory capacity from 96GB on Gaudi 2 to a much better 144GB on Gaudi 3. We should expect Intel to be using HBM3 or the faster HBM3e memory standard, but that still needs to be confirmed.

Moore Threads has just announced its new MTT S4000 AI GPU that will work "seamlessly" with NVIDIA's CUDA framework, thanks to an in-house MUSIFY translation tool.

The new Moore Threads MTT S4000 AI GPU features MTLink 1.0, which is a new multi-GPU connector that we don't have photos of, but it sounds similar to NVIDIA's in-house NVLink connector. The new MTT S4000 AI GPU has 48GB of GDDR6 memory with up to 768GB/sec of memory bandwidth, compared to the 48GB of memory on NVIDIA's RTX 6000 GPU with 960GB/sec of memory bandwidth.

Moore Threads is passively cooling its new MTT S4000 AI GPU, with 25 TFLOPs of FP32 single-precision compute performance, 100 TFLOPs of FP16/BF16, and 200 TOPS in INT8. This is all found on a PCIe Gen5 x16 connector, too.

AMD launched its new flagship AI GPU and accelerator, the Instinct MI300X, earlier this month. During the launch event, AMD provided charts and data indicating that the MI300X outperformed NVIDIA's powerful H100 GPU in several tests.

It was up to 60% faster in a direct 8 to 8 server comparison; however, NVIDIA followed up with its own data. NVDIA's report shows (with data) that AMD did not use the latest NVIDIA TensorRT-LLM kernel optimizations for NVIDIA Hopper, nor did it show real-world MLPerf server scenarios where DGX H100 hardware delivers impressive "inferences per second" results.

Long story short, NVIDIA's response claims that if AMD benchmarked the H100 GPU properly, it would show that Team Green's flagship was 2X faster. So, where does that bring us to? AMD has reached out with an update showing that the MI300X's performance advantage has increased thanks to its own optimizations. And it's now accounting for latency.

A US news station has announced its plans to release the very first AI-generated news anchors, which will be free and streamed on ad-supported services such as Crackle, Tubi, or Pluto.

The announcement comes from LA-based news station Channel 1, who said that they will be using AI-powered news anchors instead of real human people in what will likely be a world's first for a syndicated news station. A new report from the Daily Mail revealed that Channel 1's news segments will use a combination of AI-generated humans and digital avatars that were created through the use of real actors. Notably, Channel 1 will still be using real humans for its most important news stories.

The founder of Channel 1, Adam Mosam, spoke to The Daily Mail and said that the intention behind releasing AI-generated news anchors was to "get out in front and create a responsible use of technology." As for concerns regarding fake news and the potential impact on society for falsifying the news through the power of AI, Mosam says that Channel 1 intends to be extremely transparent with viewers about what footage is original and what has been generated by artificial intelligence.

[UPDATE AMD has responded to the below with updated benchmark results and new optimizations of its own to show that the MI300X still has the performance advantage - read all about it here]. AMD, like all of the big players in the chip game, is going all in on AI hardware, and with the company's recent flagship MI300X GPU launch, it made some bold claims that compared performance between the MI300X and NVIDIA's powerful H100 GPU. Up to 20% faster than the H100 in a direct 1 to 1 comparison and up to 60% faster in an 8 to 8 server comparison.

Every slide in AMD's 'Advancing AI' presentation that covered the performance of the AMD Instinct MI300X to the NVIDIA H100 Tensor Core GPU shows the MI300X coming out on top or, at worse, performing on par. And with that, NVIDIA has taken the time to present its own results showing that the H100 GPU is 2X faster than the MI300X.

"At a recent launch event, AMD talked about the inference performance of the H100 GPU compared to that of its MI300X chip," NVIDIA's Dave Salvator and Ashraf Eassa write. "The results shared did not use optimized software, and the H100, if benchmarked properly, is 2X faster."

Intel CEO Pat Gelsinger has some fighting words to NVIDIA and its CUDA standard, where he said: "You know, the entire industry is motivated to eliminate the CUDA market".

Gelsinger claimed that inference technology will be more important than training for AI, just as it launches its new Intel Core Ultra and Intel 5th Gen Xeon "Emerald Rapids" CPUs at its "AI Everywhere" event in New York City. Gelsinger continued: "We think of the CUDA moat as shallow and small. Because the industry is motivated to bring a broader set of technologies for broad training, innovation, data science, et cetera".

Gelsinger used examples like MLIR, Google, and OpenAI, where he said they're moving towards a "Pythonic programming layer" that makes AI training more open.

NVIDIA is already dominating the AI GPU market, but now analyst Ming-Chi Kuo is expecting that the insatiable demand for AI GPUs will see NVIDIA AI GPU shipments surge 150% year-over-year in 2024.

NVIDIA has already reported absolutely stellar financials driven by its AI GPU dominance, where Team Green has a commanding 90%+ of the AI GPU market share. The company enjoyed an amazing 2023, but in the coming years the company is expecting to drive $300 billion from its AI business alone.

Tianfeng Securities analyst Ming-Chi Kuo says that NVIDIA plans on boosting the volumes of AI GPU shipments in 2024; here's what the analyst expects to see in 2024:

AMD's Chief Financial Officer Jean Hu has said that the AI PC will drive consumer sales in 2025, but we won't see the fruits of AI PC labor in 2024 as much as we will in the year after.

The AMD CFO was questioned during the Barclays Global Technology Conference, where she was asked about the future of PC markets and the upcoming trend of the "AI PC" and how much of an influence AI PCs will have in boosting sales. Hu said that the PC industry is moving towards recovery in the post-pandemic world, with revenue forecasts and consumer demand to increase in 2024-2025.

AMD CFO Jean Hu said during the Barclay Global Technology Conference: "Going forward, you will see the typical seasonality in Q1 and then, you know, next year, based on industry and it's economic-sensitive sector, too. So, we don't know what the macroeconomic situation will be. But in the end, the PC market is stabilized".