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In a new season of Tech Tonic, FT tech journalists Madhumita Murgia and John Thornhill investigate the race to build a quantum computer, the impact they could have on security, innovation and business, and the confounding physics of the quantum world.
Check out all the on-demand sessions from the Intelligent Security Summit here.
Data management and integration veteran Talend today debuted the winter ‘23 release of its core platform, providing enhanced observability, automation and connectivity for enterprises’ data assets. The update comes over a month after the company announced it is being acquired by Qlik in a transaction set to close in the first half of 2023.
Talend started in 2004 as a data integrator, but gradually expanded to offer Talend Data Fabric, a unified solution that works across any cloud, hybrid or multicloud environment. The solution combines enterprise-grade data discovery, integration, quality (automatic cleaning and profiling) and governance capabilities. It’s is intended to reduce the effort involved in working with data, while providing teams with clean and uncompromised information for decision-making.
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Continue reading “What’s Going to Happen in The Next 40 Years?” »
GOOGLE has urged millions to download Chrome’s new security update or risk their data being vulnerable.
On Thursday, Google released a new security update for all desktop versions of its Chrome web browser.
The update targets 10 security issues in the web browser – one of which is rated at the most critical level.
But the computing power necessary for a company to adopt in-house AI capabilities is enormous, and that’s where Nvidia’s new service offering comes in. Dubbed “DGX Cloud,” Nvidia is offering an AI supercomputer accessible to its customers via a web browser. The company partnered with various cloud providers, including Microsoft, Google, and Oracle, to launch the service.
“Nvidia AI as a service offers enterprises easy access to the world’s most advanced AI platform, while remaining close to the storage, networking, security and cloud services offered by the world’s most advanced clouds,” Huang explained.
“Nvidia AI is essentially the operating system of AI systems today,” Huang also said.
Synthetic speech and voice cloning startup Resemble AI has introduced an “audio watermark” to tag AI-generated speech without compromising sound quality. The new PerTh Perceptual Threshold) Watermarker embeds the sonic signature of Resemble’s synthetic media engine into a recording to mark its AI origin regardless of future audio manipulation, yet subtle enough that no human can hear it.
Audio Watermarking
Visual watermarking hides one image within another, invisible without a computer scanner in the case of particularly high-security documents. The same principle applies to audio watermarks, except it’s a very soft sound that people won’t notice but encoded with information that a computer could decipher. The concept isn’t new, but Resemble has leveraged its audio AI to make PerTh more reliable without compromising the realism of its synthetic speech creation.
Continue reading “Resemble AI Creates Synthetic Audio Watermark to Tag Deepfake Speech” »
Check out all the on-demand sessions from the Intelligent Security Summit here.
Permissions management is the essence of data security. Yet few security teams can manage identities in the cloud at scale, with Gartner estimating that by 2023, 75% of cloud security failures will occur due to insufficient management of identities, access and privileges.
However, more and more providers are looking to address permissions management with automation. Entitle, which today announced it has raised $15 million as part of a seed funding round led by Glilot Capital Partners, offers a platform for automating access management and provisioning.
Benchmarks from German AI startup Aleph Alpha show that the startup’s latest AI models can keep up with OpenAI’s GPT-3. A success that should not lull Europe into a false sense of security.
ChatGPT has catapulted artificial intelligence into the public discussion like no other product before it. Behind the chatbot is the U.S. company OpenAI, which made headlines with the large-scale language model GPT-3 and later with the text-to-picture model DALL-E 2. The impact of systems like ChatGPT or Midjourney on education and work, which can be felt today, was foreseeable even then.
The underlying language models are often referred to in research as foundation models: a large AI model that, due to its generalist training with large datasets, can later take on many tasks for which it was not explicitly trained.
Check out all the on-demand sessions from the Intelligent Security Summit here.
The coming of artificial general intelligence (AGI) — the ability of an artificial intelligence to understand or learn any intellectual task that a human can — is inevitable. Despite the predictions of many experts that AGI might never be achieved or will take hundreds of years to emerge, I believe it will be here within the next decade.
How can I be so certain? We already have the know-how to produce massive programs with the capacity for processing and analyzing reams of data faster and more accurately than a human ever could. And in truth, massive programs may not be necessary anyway. Given the structure of the neocortex (the part of the human brain we use to think) and the amount of DNA needed to define it, we may be able to create a complete AGI in a program as small as 7.5 megabytes.
Check out all the on-demand sessions from the Intelligent Security Summit here.
2022 has been a dynamic year for quantum computing. With commercial breakthroughs such as the UK Ministry of Defence (MoD) investing in its first quantum computer, the launch of the world’s first quantum computer capable of advantage over the cloud and the Nobel Prize in Physics awarded for ground-breaking experiments with entangled photons, the industry is making progress.
At the same time, 2022 saw the tremendous accomplishment of the exaflop barrier broken with the Frontier supercomputer. At a cost of roughly $600 million and requiring more than 20 megawatts of power, we are approaching the limits of what classical computing approaches can do on their own. Often for practical business reasons, many companies are not able to fully exploit the increasing amount of data available to them. This hampers digital transformation across areas most reliant on high-performance computing (HPC): healthcare, defense, energy and finance.
