Lifeboat Foundation

How will that situation change development teams? A common ratio of developers to testers is three to one. At a big bank with 40,000 software engineers, 10,000 might do security, reliability, and quality control. But the AI effect is like squeezing a balloon so it expands on the other side. The coding productivity jump is offset by a dramatic increase in cycles spent on testing.

How Development Teams Can Get Ahead

For software teams, the pressure is on to adapt. Companies that want to stay ahead of the game should first get a handle on a long-time adversary: toil.

Quantum computers, which can solve several complex problems exponentially faster than classical computers, are expected to improve artificial intelligence (AI) applications deployed in devices like autonomous vehicles; however, just like their predecessors, quantum computers are vulnerable to adversarial attacks.

A team of University of Texas at Dallas researchers and an industry collaborator have developed an approach to give quantum computers an extra layer of protection against such attacks. Their solution, Quantum Noise Injection for Adversarial Defense (QNAD), counteracts the impact of attacks designed to disrupt inference—AI’s ability to make decisions or solve tasks.

The team will present research that demonstrates the method at the IEEE International Symposium on Hardware Oriented Security and Trust held May 6–9 in Washington, D.C.

A global race to build powerful computer chips that are essential for the next generation of artificial intelligence (AI) tools could have a major impact on global politics and security.

The US is currently leading the race in the design of these chips, also known as semiconductors. But most of the manufacturing is carried out in Taiwan. The debate has been fueled by the call by Sam Altman, CEO of ChatGPT’s developer OpenAI, for a US$5 trillion to US$7 trillion (£3.9 trillion to £5.5 trillion) global investment to produce more powerful chips for the next generation of AI platforms.

The amount of money Altman called for is more than the chip industry has spent in total since it began. Whatever the facts about those numbers, overall projections for the AI market are mind blowing. The data analytics company GlobalData forecasts that the market will be worth US$909 billion by 2030.

MIT engineers developed a tag that can reveal with near-perfect accuracy whether an item is real or fake. The key is in the glue on the back of the tag.

A few years ago, MIT researchers invented a cryptographic ID tag that is several times smaller and significantly cheaper than the traditional radio frequency tags (RFIDs) that are often affixed to products to verify their authenticity.

This tiny tag, which offers improved security over RFIDs, utilizes terahertz waves, which are smaller and have much higher frequencies than radio waves. But this terahertz tag shared a major security vulnerability with traditional RFIDs: A counterfeiter could peel the tag off a genuine item and reattach it to a fake, and the authentication system would be none the wiser.

A security researcher has discovered an unsecured database on the internet containing millions of two-factor authentication security codes. Here’s what you need to know.

The Rebellionaire Road Rally has made its way down to Austin, TX. This time we’re joined by Farzad (@farzyness) to test out Tesla FSD v12 on the streets of the greater Austin area. This is part 2 of the journey with Farzad joining in the car adding helpful commentary.

#Tesla #rebellionaire.

Continue reading “Tesla FSD v12 drives like a teenager!” »

For one, it reached over a million users in five days of its release, a mark unmatched by even the most historically popular apps like Facebook and Spotify. Additionally, ChatGPT has seen near-immediate adoption in business contexts, as organizations seek to gain efficiencies in content creation, code generation, and other functional tasks.

But as businesses rush to take advantage of AI, so too do attackers. One notable way in which they do so is through unethical or malicious LLM apps.

Unfortunately, a recent spate of these malicious apps has introduced risk into an organization’s AI journey. And, the associated risk is not easily addressed with a single policy or solution. To unlock the value of AI without opening doors to data loss, security leaders need to rethink how they approach broader visibility and control of corporate applications.

With an emphasis on AI-first strategy and improving Google Cloud databases’ capability to support GenAI applications, Google announced developments in the integration of generative AI with databases.

AWS offers a broad range of services for vector database requirements, including Amazon OpenSearch Service, Amazon Aurora PostgreSQL-Compatible Edition, Amazon RDS for PostgreSQL, Amazon Neptune ML, and Amazon MemoryDB for Redis. AWS emphasizes the operationalization of embedding models, making application development more productive through features like data management, fault tolerance, and critical security features. AWS’s strategy focuses on simplifying the scaling and operationalization of AI-powered applications, providing developers with the tools to innovate and create unique experiences powered by vector search.

Azure takes a similar approach by offering vector database extensions to existing databases. This strategy aims to avoid the extra cost and complexity of moving data to a separate database, keeping vector embeddings and original data together for better data consistency, scale, and performance. Azure Cosmos DB and Azure PostgreSQL Server are positioned as services that support these vector database extensions. Azure’s approach emphasizes the integration of vector search capabilities directly alongside other application data, providing a seamless experience for developers.

Continue reading “Google’s AI-First Strategy Brings Vector Support To Cloud Databases” »

The new semiconductor is expected to have some important applications in things like transportation and security systems in both industry and the public.

Korean researchers have developed a new “intelligent sensor” semiconductor that works similarly to the optic nerves of insects.

Continue reading “Korean researchers develop insect brain-inspired motion detector” »