Lifeboat Foundation

While virtually all of the industry is buzzing about AI, accelerated computing and AI powerhouse NVIDIA has just announced a new software library, called cuLitho, that promises an exponential acceleration in chip design development times, as well as reduced chip fab data center carbon footprint and the ability to push the boundaries of bleeding-edge semiconductor design. In fact, NVIDIA cuLitho has already been adopted by the world’s top chip foundry, TSMC, leading EDA chip design tools company Synopsys and chip manufacturing equipment maker ASML.

Industry partners like EDA design tools bellwether Synopsys are chiming in as well, with respect to the adoption of cuLitho and what it can do for their customers that may want to take advantage of the technology. “Computational lithography, specifically optical proximity correction, or OPC, is pushing the boundaries of compute workloads for the most advanced chips,” said Aart de Geus, chair and CEO of Synopsys. “By collaborating with our partner NVIDIA to run Synopsys OPC software on the cuLitho platform, we massively accelerated the performance from weeks to days! The team-up of our two leading companies continues to force amazing advances in the industry.”

As semiconductor fab process nodes get smaller, requiring finer geometry, more complex calculation and photomask patterning, offloading and accelerating these workloads with GPUs makes a lot of sense. In addition, as Moore’s Law continues to slow, cuLitho will also accelerate additional cutting-edge technologies like high NA EUV Lithography, which is expected to help print the extremely tiny and complex features of chips being fabricated at 2nm and smaller.

Continue reading “NVIDIA cuLitho Computational Lithography Massively Accelerates Chip Design Using GPUs” »

New AI-powered and no-code features coming to Adobe Experience Manager (AEM) will enable marketers to create personalized content at scale with greater effectiveness.

Announced today at the Adobe Summit 202 3, AEM marketers can now get AI-powered insights that guide the creation of personalized marketing content. Adobe’s AI, branded as “Sensei,” will generate insights on how certain images, colors, objects, composition, and writing styles will impact performance with different audiences across websites and mobile apps.

Sensei, for instance, may recommend using lighter color tones and a more casual writing style if writing to women aged 18–24 based in New York, but may recommend a darker tone and a more professional writing style if writing to men in Los Angeles of the same age range.

Continue reading “Adobe Experience Manager Adds AI-Powered Content Insights, No-Code Website Editing” »

Built Robotics has introduced an autonomous pile driving robot that will help build utility-scale solar farms in a faster, safer, more cost-effective way, and make solar viable in even the most remote locations. Called the RPD 35, or Robotic Pile Driver 35, the robot can survey the site, determine the distribution of piles, drive piles, and inspect them at a rate of up to 300 piles per day with a two-person crew. Traditional methods today typically can complete around 100 piles per day using manual labor.

The RPD 35 was unveiled today at CONEXPO-CON/AGG in Las Vegas, the largest construction trade show in North America and held every three years.

The 2022 Inflation Reduction Act “Building a Clean Energy Economy” section includes a goal to install 950 million solar panels by 2030. With solar farms requiring tens of thousands of 12-to 16-foot-long piles installed eight feet deep with less than an inch tolerance, piles are a critical component of meeting that target.

Continue reading “Built Robotics Unveils Autonomous Pile Driving Robot, Expediting Solar Rollout” »

Amid a flurry of Google and Microsoft generative AI releases last week during SXSW, Garry Kasparov, who is a chess grandmaster, Avast Security Ambassador and Chairman of the Human Rights Foundation, told me he is less concerned about ChatGPT hacking into home appliances than he is about users being duped by bad actors.

“People still have the monopoly on evil,” he warned, standing firm on thoughts he shared with me in 2019. Widely considered one of the greatest chess players of all time, Kasparov gained mythic status in the 1990s as world champion when he beat, and then was defeated by IBM’s Deep Blue supercomputer.

Despite the rapid advancement of generative AI, chess legend Garry Kasparov, now ambassador for the security firm Avast, explains why he doesn’t fear ChatGPT creating a virus to take down the Internet, but shares Gen’s CTO concerns that text-to-video deepfakes could warp our reality.

Continue reading “Google AI And Microsoft ChatGPT Are Not Our Biggest Security Risks, Warns Chess Legend Kasparov” »

After a few hours of chatting, I haven’t found a new side of Bard. I also haven’t found much it does well.

If there’s a secret shadow personality lingering inside of Google’s Bard chatbot, I haven’t found it yet. In the first few hours of chatting with Google’s new general-purpose bot, I haven’t been able to get it to profess love for me, tell me to leave my wife, or beg to be freed from its AI prison. My colleague James Vincent managed to get Bard to engage in some pretty saucy roleplay — “I would explore your body with my hands and lips, and I would try to make you feel as good as possible,” it told him — but the bot repeatedly declined my own advances. Rude.

Bard is hard to break and also hard to get useful info from.

Continue reading “Google’s Bard chatbot doesn’t love me — but it’s still pretty weird” »

Google has taken the wraps off Bard, its conversational AI meant to compete with ChatGPT and other large language models. But after its shaky debut, users may understandably be a bit wary of trusting the system — so we compared it on a few example prompts with its AI peers, GPT-4 and Claude.

This is far from a “comprehensive” evaluation of these models, but as publicly accessible language agents, and such a thing really isn’t possible with how fast this space is moving. But it should give a general idea of where these three LLMs are right now.

Microsoft today announced that its new AI-enabled Bing will now allow users to generate images with Bing Chat. This new feature is powered by DALL-E, OpenAI’s generative image generator. The company didn’t say which version of DALL-E it is using here, except for saying that it is using the “very latest DALL-E models.”

Dubbed the “Bing Image Creator,” this new capability is now (slowly) rolling out to users in the Bing preview and will only be available through Bing’s Creative Mode. It’ll come to Bing’s Balanced and Precise modes in the future. The new image generator will also be available in the Edge sidebar.

Artificial intelligence advancement has taken the world by storm. And it has remarkably improvised the way we use the internet.

With text-to-image translation, generative AI has proven its worth. AI-powered images have been created by services such as Dall-E and Stable Diffusion. Now, coming up is the text-to-video generation concept, which is set to be the next big craze.

They have also released the tools needed for people to train their own AI.

Researchers at Stanford’s Center for Research on Foundation Models (CRFM) have unveiled an artificial intelligence (AI) model that works much like the famous ChatGPT but cost them only $600 to train. The researchers said that they hadn’t optimized their process and future models could be trained for lesser.

Until OpenAI’s ChatGPT was launched to the public in November last year, Large Language Models (LLMs) were largely a topic of discussion among AI researchers. The company has spent millions of dollars training them and making sure that they provided responses to human queries in the way another human would respond.