Challenges in the automated evaluation of Retrieval-Augmented Generation (RAG) Question-Answering (QA) systems include hallucination problems in domain-specific knowledge and the lack of gold standard benchmarks for company internal tasks. This results in difficulties in evaluating RAG variations, like RAG-Fusion (RAGF), in the context of a product QA task at Infineon Technologies. To solve these problems, we propose a comprehensive evaluation framework, which leverages Large Language Models (LLMs) to generate large datasets of synthetic queries based on real user queries and in-domain documents, uses LLM-as-a-judge to rate retrieved documents and answers, evaluates the quality of answers, and ranks different variants of Retrieval-Augmented Generation (RAG) agents with RAGElo's automated Elo-based competition. LLM-as-a-judge rating of a random sample of synthetic queries shows a moderate, positive correlation with domain expert scoring in relevance, accuracy, completeness, and precision. While RAGF outperformed RAG in Elo score, a significance analysis against expert annotations also shows that RAGF significantly outperforms RAG in completeness, but underperforms in precision. In addition, Infineon's RAGF assistant demonstrated slightly higher performance in document relevance based on MRR@5 scores. We find that RAGElo positively aligns with the preferences of human annotators, though due caution is still required. Finally, RAGF's approach leads to more complete answers based on expert annotations and better answers overall based on RAGElo's evaluation criteria.

Edge Impulse and Infineon have announced cross-platform support for their software environments, allowing for high-powered, flexible machine learning development on the Infineon PSoC 6 microcontroller series. The collaboration gives Edge Impulse studio users access to ModusToolbox, Infineon's MCU configuration software, allowing them to natively develop and configure applications on the PSoC-6 -based CY8CKIT-062S2 Pioneer Kit coupled with the CY8CKIT-028-SENSE Dev Kit, which incorporates accelerometer, gyroscope, magnetometer, microphone, pressure, and temperature sensors. Data from these sensors can now be used with Edge Impulse for the easy generation of TinyML-based AI models, optimized for low-power, private, low-cloud-cost edge environments. These models can then be deployed on any PSoC 6-based MCU. Edge Impulse, the leading development platform for ML on edge devices, allows developers to quickly and easily create and optimize solutions with real-world data.

Infineon Technologies AG has acquired the Berlin-based startup Industrial Analytics IA GmbH. Thus, Infineon is strengthening its software and services business in artificial intelligence for predictive analysis. Infineon is acquiring 100 percent of the company's shares. Both parties have agreed not to disclose the amount of the transaction. Peter Wawer, President of Infineon's Industrial Power Control division, said Industrial Analytics has outstanding expertise in predictive analysis for industrial machinery and equipment using artificial intelligence.

Infineon Applied sciences has launched what it claims to be the "trade's first" artificially clever acoustic occasion and sensor fusion alarm system to be pushed wholly by battery energy: the Good Alarm System, or SAS. "We're excited to allow a novel and differentiated strategy to bringing AI/ML [Artificial Intelligence/Machine Learning] capabilities to cost-sensitive, battery-powered house safety sensor methods, with out sacrificing battery life," says Infineon's Laurent Remont of the launch. Infineon's new edge AI alarm design gives a claimed five-year battery life. "Present house safety options are unreliable for detecting occasions similar to glass break[ing]," Remont continues. "Our new resolution combines a lot of best-in-class applied sciences to create an alarm system that's sensible, dependable and energy environment friendly. We look ahead to bringing extra progressive options into the house safety market."

The current interest rate decision is casting its shadow ahead, and the horrendously rising inflation rates are unsettling market participants. In the fight against inflation, the US Federal Reserve will likely shrink its balance sheet further and herald more aggressive interest rate steps. However, there is then a risk of significantly weakening the economy. That would seriously worsen the macroeconomic picture and significantly increase the risk of the US sliding into recession. The biggest losers from a major interest rate hike will likely remain interest rate sensitive growth stocks. However, such a scenario is already priced in for many stocks.

It was undoubtedly one of the outperformers in the first month of the current stock market year. The shares of the Australian company BrainChip Holdings, which also has subsidiaries in the US, India and France, almost quadrupled from AUD 0.71 to AUD 2.25 within one month. The announcement that Mercedes intends to develop systems based on BrainChip's Akida hardware and software caused a veritable buying panic. Among other things, the technology makes the "Hey, Mercedes" voice control in the EQXX five to ten times more efficient than conventional voice control. Since February, the stock has been in a strong consolidation phase, which is not unusual for such an innovative technology company.

AI and neural networks are essential building blocks for automated driving, for example in the classification and tracking of objects or in determining the route in traffic. In addition, they help to optimize many other automotive applications, reduce the cost of ECUs, improve their performance and accelerate their market launch. For example, AI and neural networks enable optimized autocalibration of engines and reduce the number of sensors required by generating precise mathematical models of the physical reactions in a system. At the same time, AI applications require significantly more computing power than standard algorithms. Therefore, Infineon's Aurix microcontrollers will be equipped with a Parallel Processing Unit (PPU) specifically for processing AI algorithms. For the development of the PPU, the chip manufacturer uses the processor IP of the ARC EV from Sysnopsys.

Products/Services Visa agreed to acquire the token and electronic ticketing business of Rambus for $75 million in cash. The business involved is part of the Smart Card Software subsidiary of Rambus. It includes the former Bell ID mobile-payment businesses and the Ecebs smart-ticketing systems for transit providers. Meanwhile, Rambus expanded its CryptoManager Root of Trust product line. "Security is a mission-critical imperative for SoC designs serving virtually every application space," Neeraj Paliwal, vice president of products, cryptography at Rambus, said in a statement.

The Rubik's cube was devised by Hungarian architect Erno Rubik more than 30 years ago, but he likely never envisioned his puzzle being cracked this quickly. The machine, known as'Sub1 Reloaded' and developed by German tech company Infineon, was aided by one of the world's most powerful microcomputers, solved a Rubik's cube in 0.637 seconds at the Electronica Trade Fair in Munich, Germany earlier this year. The machine, known as'Sub1 Reloaded' and developed by German tech company Infineon, was aided by one of the world's most powerful microcomputers'Guinness World Records has spent some time carefully reviewing the evidence, including ensuring that the cube and the pre-scrambling met all WCA standards, before confirming the new record today,' the organisation said. The robot took a fraction of a second to analyse the cube and make 21 moves to solve the puzzle. Its time of 0.637 seconds beat the previous world record of 0.887 seconds, set by an earlier prototype of the same machine.

New record! Robot solves Rubik's Cube in less than a second Solving a Rubik's Cube is an impressive feat by itself, but now, a robot can do it in record time, cracking the 3D puzzle about 10 times faster than the human who holds the world record. In just over half of a second (0.637 seconds), the Sub1 Reloaded robot made each side of the Rubik's Cube show a single color. This breaks the previous record of 0.887 seconds achieved by an earlier version of the same machine using a different processor. German technology company Infineon staged the record attempt at the Electronica trade fair in Munich this week, as a way to highlight its self-driving-car technology. The company provided one of the Sub1 Reloaded robot's microchips.