“You're really not going to like it..."
How long until "neuralware" becomes the new "vaporware"?
Corporate funding splurged on AI technology is expected to grow to $120bn by 2025 in the US, a yearly increase of 26 percent over the next four financial years, according to IDC. The two largest industries ramping up investments in machine learning are retail and banking, according to the market research firm. Together they …
"Online services like fraud analysis or threat intelligence are some of the areas that are expected to become increasingly powered by AI, and these capabilities were already previously handled by software"
And they will continue to be. Just slapping AI on the process doesn't make it AI. Fraud analysis is not entirely easy, but if you think that a statistical analysis machine is going to erase fraud I have a bridge to sell you.
I have had a training course in detecting fraudulent activity, mandated by one of the clients I work for. It is . . . complicated. I'm not convinced that an "AI" is going to do any better than what is in place at the moment.
But hey, banks have money. If they want to waste it on this, good for anyone who gets the deal.
More software making THE WRONG decisions for me. They already have advertising "AI" that seems to want to sell me stuff for which I have no need or want, and that I will never ever need or want no matter how many times they push the ad at me. In fact, their "algorithms" and "AI" seem to have a lower hit rate with me than purely random adverts as they always seem to want to sell me something that I just bought. I find advertising in general seems to be 99.99% miss meaning that there is a vast amount of data whizzing around out there for the occasional hit. Wait, that reminds me of something,... could it be,... scam emails? <LOL>
So far I am utterly unimpressed with the marketing scam that is so called "AI". I see lots of machine learning going on but zero evidence of any real intelligence behind them. However, the same could be said of most of Homo Sapiens <sigh>.
Comment More than 250 mass shootings have occurred in the US so far this year, and AI advocates think they have the solution. Not gun control, but better tech, unsurprisingly.
Machine-learning biz Kogniz announced on Tuesday it was adding a ready-to-deploy gun detection model to its computer-vision platform. The system, we're told, can detect guns seen by security cameras and send notifications to those at risk, notifying police, locking down buildings, and performing other security tasks.
In addition to spotting firearms, Kogniz uses its other computer-vision modules to notice unusual behavior, such as children sprinting down hallways or someone climbing in through a window, which could indicate an active shooter.
In brief US hardware startup Cerebras claims to have trained the largest AI model on a single device powered by the world's largest Wafer Scale Engine 2 chip the size of a plate.
"Using the Cerebras Software Platform (CSoft), our customers can easily train state-of-the-art GPT language models (such as GPT-3 and GPT-J) with up to 20 billion parameters on a single CS-2 system," the company claimed this week. "Running on a single CS-2, these models take minutes to set up and users can quickly move between models with just a few keystrokes."
The CS-2 packs a whopping 850,000 cores, and has 40GB of on-chip memory capable of reaching 20 PB/sec memory bandwidth. The specs on other types of AI accelerators and GPUs pale in comparison, meaning machine learning engineers have to train huge AI models with billions of parameters across more servers.
Microsoft has pledged to clamp down on access to AI tools designed to predict emotions, gender, and age from images, and will restrict the usage of its facial recognition and generative audio models in Azure.
The Windows giant made the promise on Tuesday while also sharing its so-called Responsible AI Standard, a document [PDF] in which the US corporation vowed to minimize any harm inflicted by its machine-learning software. This pledge included assurances that the biz will assess the impact of its technologies, document models' data and capabilities, and enforce stricter use guidelines.
This is needed because – and let's just check the notes here – there are apparently not enough laws yet regulating machine-learning technology use. Thus, in the absence of this legislation, Microsoft will just have to force itself to do the right thing.
In Brief No, AI chatbots are not sentient.
Just as soon as the story on a Google engineer, who blew the whistle on what he claimed was a sentient language model, went viral, multiple publications stepped in to say he's wrong.
The debate on whether the company's LaMDA chatbot is conscious or has a soul or not isn't a very good one, just because it's too easy to shut down the side that believes it does. Like most large language models, LaMDA has billions of parameters and was trained on text scraped from the internet. The model learns the relationships between words, and which ones are more likely to appear next to each other.
In the latest episode of Black Mirror, a vast megacorp sells AI software that learns to mimic the voice of a deceased woman whose husband sits weeping over a smart speaker, listening to her dulcet tones.
Only joking – it's Amazon, and this is real life. The experimental feature of the company's virtual assistant, Alexa, was announced at an Amazon conference in Las Vegas on Wednesday.
Rohit Prasad, head scientist for Alexa AI, described the tech as a means to build trust between human and machine, enabling Alexa to "make the memories last" when "so many of us have lost someone we love" during the pandemic.
Opinion The Turing test is about us, not the bots, and it has failed.
Fans of the slow burn mainstream media U-turn had a treat last week.
On Saturday, the news broke that Blake Lemoine, a Google engineer charged with monitoring a chatbot called LaMDA for nastiness, had been put on paid leave for revealing confidential information.
Qualcomm knows that if it wants developers to build and optimize AI applications across its portfolio of silicon, the Snapdragon giant needs to make the experience simpler and, ideally, better than what its rivals have been cooking up in the software stack department.
That's why on Wednesday the fabless chip designer introduced what it's calling the Qualcomm AI Stack, which aims to, among other things, let developers take AI models they've developed for one device type, let's say smartphones, and easily adapt them for another, like PCs. This stack is only for devices powered by Qualcomm's system-on-chips, be they in laptops, cellphones, car entertainment, or something else.
While Qualcomm is best known for its mobile Arm-based Snapdragon chips that power many Android phones, the chip house is hoping to grow into other markets, such as personal computers, the Internet of Things, and automotive. This expansion means Qualcomm is competing with the likes of Apple, Intel, Nvidia, AMD, and others, on a much larger battlefield.
In brief Numerous people start to believe they're interacting with something sentient when they talk to AI chatbots, according to the CEO of Replika, an app that allows users to design their own virtual companions.
People can customize how their chatbots look and pay for extra features like certain personality traits on Replika. Millions have downloaded the app and many chat regularly to their made-up bots. Some even begin to think their digital pals are real entities that are sentient.
"We're not talking about crazy people or people who are hallucinating or having delusions," the company's founder and CEO, Eugenia Kuyda, told Reuters. "They talk to AI and that's the experience they have."
Analysis After re-establishing itself in the datacenter over the past few years, AMD is now hoping to become a big player in the AI compute space with an expanded portfolio of chips that cover everything from the edge to the cloud.
But as executives laid out during AMD's Financial Analyst Day 2022 event last week, the resurgent chip designer believes it has the right silicon and software coming into place to pursue the wider AI space.
Zscaler is growing the machine-learning capabilities of its zero-trust platform and expanding it into the public cloud and network edge, CEO Jay Chaudhry told devotees at a conference in Las Vegas today.
Along with the AI advancements, Zscaler at its Zenith 2022 show in Sin City also announced greater integration of its technologies with Amazon Web Services, and a security management offering designed to enable infosec teams and developers to better detect risks in cloud-native applications.
In addition, the biz also is putting a focus on the Internet of Things (IoT) and operational technology (OT) control systems as it addresses the security side of the network edge. Zscaler, for those not aware, makes products that securely connect devices, networks, and backend systems together, and provides the monitoring, controls, and cloud services an organization might need to manage all that.
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