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Showing posts with label Automated Machine. Show all posts

GM Cruise Halts Driverless Operations

General Motors' Cruise unit has suspended all driverless operations following a recent ban in California, halting their ambitious plans for a nationwide robotaxi service.

The decision comes in response to a regulatory setback in California, a state known for its stringent rules regarding autonomous vehicle testing. The California Department of Motor Vehicles revoked Cruise's permit to operate its autonomous vehicles without a human safety driver on board, citing concerns about safety protocols and reporting procedures.

This move has forced GM Cruise to halt all of its driverless operations, effectively putting a pause on its plans to launch a commercial robotaxi service. The company had previously announced its intention to deploy a fleet of autonomous vehicles for ride-hailing purposes in San Francisco and other major cities.

The suspension of operations is a significant blow to GM Cruise, as it now faces a setback in the race to deploy fully autonomous vehicles for commercial use. Other companies in the autonomous vehicle space, including Waymo and Tesla, have been making strides in the development and deployment of their autonomous technologies.

The California ban highlights the challenges and complexities surrounding the regulation of autonomous vehicles. Striking the right balance between innovation and safety is crucial, and incidents or regulatory concerns can lead to significant delays in the deployment of this technology.

While GM Cruise has expressed its commitment to working closely with regulators to address their concerns, the current situation raises questions about the timeline for the widespread adoption of autonomous vehicles. It also emphasizes the need for a unified regulatory framework that can provide clear guidelines for the testing and deployment of autonomous technologies.

In the meantime, GM Cruise will need to reassess its strategy and potentially explore other avenues for testing and deploying its autonomous vehicles. The company has invested heavily in the development of this technology, and overcoming regulatory hurdles will be a crucial step in realizing its vision of a driverless future.

The halt to GM Cruise's driverless robotaxi operations is a clear reminder of the difficulties and unknowns associated with the advancement of autonomous car technology. The safe and effective use of this ground-breaking technology will depend on companies and regulators working together as the industry develops.

Will Artificial Intelligence Take Over the World?

 

In 2035, artificial intelligence-powered humanoid robots are a common sight. Robots saved Detective Del Spooner from a car accident, but they left a 12-year-old girl to die because her chances of survival were statistically lower than Detective Spooner's. For this reason, Detective Spooner hates robots. That gives some background information regarding the protagonist in Will Smith's film I, Robot. These humanoids eventually form a conspiracy to take over the entire planet. 

Is this the future of artificial intelligence? Will the machine get so powerful that it begins to think more intelligently than humans? Take note that I stated capable, not powerful. Without a question, computers are more powerful in terms of providing us with solutions faster than human brainpower, but are they more capable? That is what people are concerned about. 

No, artificial intelligence will not take over the world. I, Robot and other science fiction films fall within this category. However, advancements in technology such as ChatGPT and other Large Language models have reignited the argument. The capacity of AI tools to generate realistic-looking images, written content, and a variety of other applications has prompted fans to embrace the technology even more, while driving sceptics away. 

Artificial Intelligence (AI) is a promising tool that companies can employ to help their customer service strategy in the field of customer care and support. It has the ability to recreate at scale the best aspects of excellent customer service, improving the customer experience. However, human input and involvement are still necessary. 

Bogdan Maksak, Co-Founder of DigitalGenius, was interviewed by a local media outlet regarding AI and its impact on business. DigitalGenius is a pioneer in the "Human plus AI" movement, which holds that AI works best when combined with humans. 

Maksak feels that today's AI in customer service is appropriate for narrowly targeted tasks such as assisting a customer in swiftly changing a billing address or updating credit card information. Today, the finest applications are for automating repetitive tickets and duties that might otherwise overburden a customer care worker. 

Retail and ecommerce companies can employ Generative AI as a virtual assistant. A virtual assistant can answer queries as well as any human by combining AI with brand and domain knowledge, such as product descriptions, corporate policies, and shipping information. 

The AI can also be used to perform tasks for the agent. Generative AI might assist in crafting the optimal response or present a range of responses from which the agent could choose. It can aid in translation by enabling agents to respond to requests in any language. Furthermore, other AI solutions can automate duties such as generating return labels, contacting warehouses, or updating information in systems, allowing the agent to focus on the client engagement. 

Maksak sums it up this way: "AI can simply be a tool for the customer service reps, similar to how an accountant uses a calculator or a banker uses a spreadsheet." Can you imagine an accountant trying to perform complex tax calculations without the help of a calculator? That is how businesses should approach AI. It is a vital tool that, if it is not already, will be a "must have" technology rather than a "nice to have." 

Whether we realise it or not, artificial intelligence has hit a tipping point and has fast infiltrated our daily lives. Maksak understands that artificial intelligence is here to stay and that what we are witnessing is only the beginning.

Singapore Explores Generative AI Use Cases Through Sandbox Options

 

Two sandboxes have been introduced in Singapore to facilitate the development and testing of generative artificial intelligence (AI) applications for government agencies and businesses. 

These sandboxes will be powered by Google Cloud's generative AI toolsets, including the Vertex AI platform, low-code developer tools, and graphical processing units (GPUs). Google will also provide pre-trained generative AI models, which include their language model Palm, AI models from partners, and open-source alternatives.

The initiative is a result of a partnership agreement between the Singapore government and Google Cloud to establish an AI Government Cloud Cluster. The purpose of this cloud platform is to promote AI adoption in the public sector.

The two sandboxes will be provided at no cost for three months and will be available for up to 100 use cases or organizations. Selection for access to the sandboxes will occur through a series of workshops over 100 days, where participants will receive training from Google Cloud engineers to identify suitable use cases for generative AI.

The government sandbox will be administered by the Smart Nation and Digital Government Office (SNDGO), while the sandbox for local businesses will be managed by Digital Industry Singapore (DISG).

Singapore has been actively pursuing its national AI strategy since 2019, with over 4,000 researchers currently contributing to AI research. However, the challenge lies in translating this research into practical applications across different industries. The introduction of these sandboxes aims to address potential issues related to data, security, and responsible AI implementation.

Karan Bajwa, Google Cloud's Asia-Pacific vice president, emphasized the need for a different approach when deploying generative AI within organizations, requiring robust governance and data security. It is crucial to calibrate and fine-tune AI models for specific industries to ensure optimal performance and cost-effectiveness.

Several organizations, including the Ministry of Manpower, GovTech, American Express, PropertyGuru Group, and Tokopedia, have already signed up to participate in the sandbox initiatives.

GovTech, the public sector's CIO office, is leveraging generative AI for its virtual intelligence chat assistant platform (Vica). By using generative AI, GovTech has reduced training hours significantly and achieved more natural responses for its chatbots.

During a panel discussion at the launch, Jimmy Ng, CIO and head of group technology and operations at DBS Bank, emphasized the importance of training AI models with quality data to mitigate risks associated with large language models learning from publicly available data.

Overall, the introduction of these sandboxes is seen as a positive step to foster responsible AI development and application in Singapore's public and private sectors.