Techbest – Top Tech Reviews In Australia
The best in Australian gadgets and technology
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Skullcandy Smokin’ Buds Wireless Earbuds, Bluetooth Headphones, Noise Isolating Fit, Up to 20 Hours Battery, IPX4 Sweat and Water Resistant, Microphone for iPhone Android – Preppy Sage
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Owners of Teslas in Australia are experiencing a major software upgrade with Grok, a voice assistant driven by an advanced language model developed by xAI, a company now part of SpaceX. This update enhances the driving experience by enabling interactive dialogues akin to those on smartphones.
In order to use Grok, Tesla vehicles must feature an AMD Ryzen processor, which is included in Model 3 and Model Y cars manufactured from 2022 onward. The rollout happens in phases, commencing with vehicles equipped with HW3, followed closely by HW4. A software version of 2025.26 or higher is required, along with a Premium Connectivity subscription priced at A$13.99 per month.
Grok transforms the way drivers engage with their vehicles, delivering real-time information and a conversational interface for a variety of tasks.
Grok excels in guiding users, making it easy to request nearby coffee shops or to arrange efficient multi-stop trips.
Remain informed about local events, traffic situations, and even historical context related to your location.
Grok enhances longer drives by providing features such as news summaries, storytelling for passengers, and engaging discussions on numerous subjects.
Privacy is a top priority, and Tesla guarantees that interactions with Grok are securely handled by xAI without associating data with individual identities.
The launch of Grok represents a major advancement in automotive technology, granting Australian Tesla owners a more interactive and enriched driving experience. With its conversational features and real-time information access, Grok is poised to change the way drivers make use of voice assistants.
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Azul, created by the Australian Signals Directorate (ASD), is a groundbreaking open-source tool aimed at improving the effectiveness of malware analysis. The tool is designed for enterprise and government security teams that seek to enhance teamwork and speed up the analytical process.
At the heart of Azul is a systematic sample repository featuring an analytical engine alongside a clustering suite. Based on OpenSearch, it enables security analysts to pinpoint shared infrastructure, coding trends, and behavioral resemblances across extensive malware sample datasets.
Azul streamlines the reverse engineering process by automating frequently executed steps into workflows using reusable plugins. This functionality markedly lessens the time needed for malware analysis and allows teams to concentrate on more intricate tasks.
The platform accommodates a variety of technologies, including Python, Golang, and TypeScript. It deploys to a Kubernetes cluster leveraging Helm package manager chart templates. Furthermore, it facilitates monitoring and alerting by integrating with Prometheus, Loki, and Grafana.
Azul accommodates numerous security tools and strategies, including Yara rules, Snort signatures, SSDEEP, TLSH (Trend Micro locality sensitive hash), and MACO (malware configuration) extraction procedures. These functions provide a more thorough analysis of possible threats.
While Azul itself does not ascertain the harmful nature of files, it is meant to complement other tools like the Canadian Centre for Cyber Security’s Assemblyline for triage tasks. Currently, the tool is at version 9.0.0 and can be found on GitHub, representing ASD’s inaugural open-source release of a malware analysis tool.
Azul signifies a major breakthrough in malware analysis, offering a robust, open-source alternative for both enterprise and government security teams. It provides an inventive method to streamline and automate workflows, integrating seamlessly with important security tools to boost analytical effectiveness.
Azul aims to store and evaluate extensive collections of malware samples, enhancing teamwork and quickening analysis for governmental and enterprise security teams.
Azul utilizes a systematic sample repository and an analytical engine based on OpenSearch to recognize patterns and similarities in malware, supplemented by automated workflows.
Azul is developed using Python, Golang, and TypeScript, and it is deployed to a Kubernetes cluster using Helm package manager chart templates.
No, Azul does not identify the malicious nature of files. It is built to function alongside other tools like the Assemblyline for that purpose.
The code and documentation for Azul are accessible on the GitHub open-source repository.
Azul provides support for monitoring and alerting via tools such as Prometheus, Loki, and Grafana.
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Samsung Galaxy Buds2 Wireless Headphones, Wireless Earbuds, Black
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Commonwealth Bank (CBA) has initiated a major transformation by shifting from an on-premises SAP R/3 core to an SAP S/4 core. This strategic transition, finalized in October of the previous year, has unlocked around 90% of the bank’s customer, account, and transactional data. This change allows CBA to utilize this data for profound personalization and behavioral banking.
The shift to SAP S/4 hosted on AWS has resulted in a 30% cut in infrastructure costs and a 30% boost in system performance. This enhancement is particularly observable in quicker balance updates and real-time processing functions, like fraud detection and customer-specific pricing. The cloud environment accommodates millions of daily recalculations, improving customer experiences with customized fees and interest rates.
CBA’s evolution aims to transform its core banking system into a system of intelligence. The management of the bank’s data pipelines and analytics, along with AI applications, has become more efficient. Additionally, this transformation has streamlined operational frameworks, dismantling silos and promoting improved teamwork across divisions.
The modernization has diminished barriers to accessing data, enabling CBA to utilize it as a valuable source of customer behavioral insights. With real-time data signals, the bank can support sophisticated AI solutions, channeling data to Amazon SageMaker and Amazon Bedrock for advanced machine learning and generative AI projects.
The core upgrade has also fortified system resilience. CBA has reduced the recovery time objective from 90 minutes to 16 minutes, with additional optimizations achieved through partnerships with SAP, Red Hat, and AWS. These enhancements, including upgrades to AWS EC2, are now accessible to all AWS users.
The core modernization initiative at Commonwealth Bank has unlocked substantial data capabilities, enhancing personalization and behavioral banking. The move to a cloud-based infrastructure has lowered costs while boosting performance, and real-time data insights drive advanced AI applications. Enhanced system resilience benefits both CBA and AWS customers worldwide.
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Bluetooth Neckband Headphones, IPX5 Waterproof Wireless In Ear Magnetic Sports Earphones, Noise Cancelling Stereo Earbuds for Sports, Workout
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A federal judge in the US has upheld an astonishing $243 million ruling against Tesla for a crash in 2019 involving its Autopilot system. The accident led to the unfortunate death of 22-year-old Naibel Benavides Leon and serious injuries to her companion, Dillon Angulo.
The event took place on April 25, 2019, in Key Largo, Florida, when George McGee, driving his 2019 Tesla Model S, collided with the SUV belonging to Benavides and Angulo. McGee was reportedly distracted while searching for his phone at the time of the crash. The jury found Tesla 33% liable for the collision.
The jury granted $19.5 million to Benavides’ estate and $23.1 million to Angulo. Additionally, $200 million in punitive damages were awarded to be divided between the two. This ruling marks the first occasion that a federal jury has issued a verdict related to a fatal incident involving Tesla’s Autopilot.
Tesla has announced its plans to appeal the verdict, asserting that McGee was exclusively at fault for the incident. The company maintains that its Model S was not defective and argues that automakers should not be held liable for accidents caused by negligent driving. Tesla also challenges the punitive damages, stating that they did not behave with “reckless disregard for human life” as per Florida law.
This case is pivotal as it establishes a precedent for other lawsuits against Tesla concerning its self-driving technology. Even though Tesla has settled numerous similar cases out of court in the past, this ruling could shape forthcoming legal challenges and the public’s perception of Tesla’s autonomous driving abilities.
The $243 million ruling against Tesla for the 2019 accident involving its Autopilot system emphasizes the persistent legal and safety dilemmas associated with autonomous vehicle technology. As Tesla pursues an appeal, this case stands as a critical touchstone for potential future litigation and the broader dialogue on the safety of self-driving vehicles.
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QCY Crossky C30 Open Ear Earbuds Wireless Bluetooth, Clip-On Headphones with 4 ENC Noise Cancelling Mic, Stable Fit, Dual Connection, EQ Customized, Sports Earphones for Workout/Running (White)
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The NSW Police Force is commencing a groundbreaking endeavor by setting up an artificial intelligence (AI) hub designed to modernise policing techniques. Located in Parramatta, this hub will spearhead the integration of AI into a variety of police functions, representing a major technological leap for law enforcement in Australia.
A core element of the hub’s functions is the commitment to the NSW government’s updated artificial intelligence assessment framework (AIAF). This framework is crucial in guaranteeing that AI systems within state agencies are deployed in a safe, ethical, and responsible way. The AI hub will concentrate on automating risk evaluations, categorising them as low, medium, or high based on a predefined questionnaire.
The NSW Police is investigating several uses of AI, including improving suspect sketching, streamlining paperwork, and utilizing data for legal and procedural evaluations. These innovations are intended to boost efficiency and effectiveness in policing methodologies.
While the potential of AI in policing is promising, concerns have arisen regarding the transparency and biases associated with AI tools. Digital rights organizations have voiced apprehensions about the ethical ramifications of these technologies, highlighting the necessity for transparency in their usage.
The NSW Police Force’s plan to create an AI hub represents a tactical step towards the incorporation of advanced technologies in law enforcement. With a commitment to governance and ethical AI practices, the hub seeks to transform policing while addressing possible challenges and public apprehensions.
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HUAWEI FreeBuds 7i Wireless Earbuds, Intelligent Active Noise Cancelling 4.0, Boundless Space Audio, Stable and Clear Calling, iOS and Android, IP54, White
