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AI News
Medium
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Your local police station might already be using AI to monitor your every move.
- Police departments across America have begun deploying AI surveillance cameras which have the ability to judge and categorize subjects.
- One such company selling the tech is Fusus, which is providing AI surveillance models to police stations across the country.
- Facial recognition algorithms often used in the technology, however, are fundamentally biased because of variations in the data used to train them.
- These disparities in data accuracy could often lead to the identification of innocent people.
- AI-powered facial recognition algorithms are exacerbating existing racial and class biases in policing, making it difficult to remedy the situation.
- Centralized systems such as these can identify clothing, vehicles, and individuals from various camera feeds making it easy to surveil a person's movements.
- These systems allow law enforcement to expand surveillance beyond the humanly possible, exacerbating existing biases prevalent in the police department.
- The datasets used to train these algorithms are often overwhelmingly composed of lighter-skinned subjects, which is causing biases to be embedded into the algorithms from the start.
- AI technology is marketed as more reliable than human decision-making, but instead of eliminating bias, AI is entrenching biases even deeper into the system.
- In essence, these technologies are not just about protection, they're tools of control.
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Medium
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French Onion Short Rib Soup with Gruyère Toast A rich, hearty twist on classic French…
- French Onion Short Rib Soup with Gruyère Toast is a rich and hearty twist on classic French onion soup, featuring seared short ribs and melted Gruyère cheese on French bread slices.
- To make the soup, caramelize onions with butter, shallots, garlic, thyme, sage, and red chili flakes. Then, sear the short ribs in a separate skillet. Add chicken broth, tamari/soy sauce, bay leaves, star anise, and baby carrots to the pot with the onions. Simmer for 2 ½ to 3 hours until the short ribs are tender.
- Once cooked, remove and shred the meat from the bones, then return the meat to the soup. Make Gruyère toasts by topping French bread slices with shredded Gruyère cheese and baking until melted and bubbly. Ladle the soup into bowls, top each serving with a Gruyère toast, and garnish with fresh thyme or parsley if desired.
- This recipe can be made ahead and tastes even better the next day. For extra richness, you can add balsamic vinegar or Worcestershire sauce. Serve the soup with a simple green salad or roasted vegetables for a complete meal.
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Medium
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The Cognitive Renaissance: How Generative AI is Transforming the Way We Think and Solve Problems
- The history of critical thinking and problem solving is shaped by diverse thinkers and educational movements, including Aristotle, the Bauhaus movement, John Dewey, and Maria Montessori, all contributing to our understanding of these concepts.
- Generative AI is a technology that promises to revolutionize the way we think and solve problems by expanding our cognitive abilities and providing us with new tools for rational analysis.
- Generative AI facilitates processing vast amounts of data, identifying patterns and trends, and making sense of complex information, making it valuable in fields like finance, healthcare, and scientific research.
- Generative AI can also help us navigate complex social and political landscapes by training AI models on large datasets of human interactions and behaviors, creating systems that are emotionally and politically savvy.
- Generative AI opens up new possibilities for collaboration and co-creation between humans and machines, leading to breakthroughs in convening practices and the creation of solutions that neither humans nor machines can achieve alone.
- However, realizing the full potential of Generative AI will require a rethinking of our ways of working, designing new convening designs and pedagogical approaches that emphasize collaboration, creativity, and working with intelligent machines.
- By embracing Generative AI, we can build a brighter, more creative, and more collaborative future, expanding our cognitive abilities, building stronger relationships and tackling pressing challenges.
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Medium
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An unconstrained future: How Voice AI could reshape B2B Sales
- Voice AI is reshaping B2B sales processes by enabling businesses to engage prospects, nurture and qualify leads, and optimise sales processes at scale.
- This technology uses advanced natural language processing (NLP) and machine learning to automate and optimise many sales functions.
- Voice AI, particularly generative Voice AI, is driving significant growth in business outcomes for B2B sales teams
- Voice AI scales sales operations by enabling teams to manage higher volumes of interactions and reach global audiences while maintaining a high level of personalisation: a significant advantage for B2B organisations with long sales cycles and complex customer journeys.
- Voice AI automates and enhances lead qualification, enabling sales teams to focus on high-potential prospects.
- By using Voice AI, businesses can deliver highly personalised interactions to each lead, increasing the likelihood of conversion and long-term loyalty.
- Voice cloning technology enables Voice AI systems to mimic the voice and tone of a human representative, creating a more authentic and personalised experience for customers.
- Voice AI breaks down language barriers by seamlessly switching between languages, ensuring every prospect feels understood and valued.
- Voice AI automates administrative tasks like cold calling, scheduling meetings, and following up with leads, streamlining sales processes and improving efficiencies.
- Voice AI's ability to operate around the clock, provides businesses with the ability to engage with prospects and customers at any time, improving customer service and experience.
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Medium
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35
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It feels like we’ve got this secret nobody else knows
- Tesla is making progress with its Full Self-Driving (FSD) system.
- Tech analysts and deep learning engineers are optimistic about Tesla's FSD technology.
- Tesla is currently building a teleoperation team to take over remote control in rare cases where FSD encounters difficulties.
- With the advancements in FSD and the teleoperation team, it is predicted that Tesla robotaxis will be available by 2025.
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Siliconangle
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Microsoft reportedly integrating non-OpenAI models into Microsoft 365 Copilot
- Microsoft is reportedly integrating custom and open-source AI models into its Microsoft 365 Copilot product.
- Microsoft 365 Copilot automates common tasks in the productivity suite and provides assistance in managing Microsoft 365 deployments.
- Incorporating new AI models into Copilot is expected to reduce operating costs and may lead to lower prices for customers.
- Microsoft is also reducing its reliance on OpenAI in other areas, such as GitHub Copilot coding assistant.
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Medium
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113
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From Transformation to Evolution: A New Chapter in BFSI
- Financial institutions are shifting their focus from digital transformation to evolution by adopting AI as their key enabler in delivering customer-centric services.
- AI helps financial institutions in real-time decision-making based on real-time information, intelligent automation, and offering personalised services and seamless customer journeys.
- AI enhances customer relationship management by enabling hyper-relevant and data-driven engagement strategies.
- AI is being utilised in detecting frauds, managing risks and ensuring compliance, and improving wealth management and financial inclusion.
- AI plays a pivotal role in strengthening security and compliance within DevSecOps processes, ensuring faster, more secure software delivery.
- AI frameworks embedded with ethical principles can foster trust while delivering value.
- Integration of AI technologies is a substantial potential for return on investment (ROI) for banks and financial institutions by optimising revenue streams, enhancing customer satisfaction and unlocking new opportunities for growth and innovation.
- AI has the potential to redefine every aspect of the BFSI industry, from core operations to transformative initiatives in customer experience, financial inclusion and real-time risk management.
- The key to future-ready organisations is to leverage AI effectively and redefine the value they deliver to customers, stakeholders, and society.
- Organizations that integrate AI into their strategy will not only gain competitive advantages but also unlock new opportunities to innovate and create value in a rapidly evolving financial ecosystem.
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Dynamicbusiness
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7
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Boomerangme: Loyalty rewards marketing tool
- Boomerangme is an AI-powered reward loyalty platform designed for local businesses looking to boost customer retention and increase profits.
- Features include SaaS loyalty programs, tracking loyalty metrics, launching reward programs, and integrating with POS and e-commerce systems.
- Boomerangme offers fast setup with AI marketer Richie, various types of digital loyalty cards, and other features such as referral programs and push notifications.
- Pricing plans range from Business at $164/month, Agency at $214/month, and Franchise at $249/month, with a free trial and refund option available.
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Medium
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94
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Fibonacci-Driven Uncertainty in DSM
- The Fibonacci sequence exhibits unique properties, such as self-similarity and the golden ratio, that align with both discrete and continuous systems.
- Incorporating Fibonacci scaling into the DSM could result in discrete spacings in phase space and emergent scales of uncertainty.
- The geometric interpretation of uncertainty in the DSM involves oscillatory coupling, golden ratio partitioning, and spiral geometry.
- Time evolution in quantum systems could be influenced by Fibonacci intervals, leading to a fractal-like structure and Fibonacci distributions of quantum fluctuations.
- Energy levels of quantum systems could follow Fibonacci relationships, and this mathematical framework can be integrated into key quantum principles.
- There are physical implications such as experimental signatures, connection to the cosmos, and the prediction of new quantum states.
- Philosophically, this approach suggests order in chaos and points to universal constants shaping both the quantum and macroscopic worlds.
- Fibonacci-driven uncertainty reimagines quantum mechanics through the lens of the DSM, deepening the understanding of quantum theory and opening new experimental avenues.
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Medium
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Cracking the AI Code: How Explainable AI is Building Trust in Everyday Products
- The backbone of modern consumer products, be it online marketplaces, social media platforms, or fitness apps, is complex AI algorithms working together to offer personalized experiences.
- The increase in interactions by users with these platforms has created a demand for transparency into why a certain decision or suggestion was made.
- Transparency in AI-driven systems does more than build trust; it drives engagement.
- Real-world applications of explainable AI include offering transparency and trust in e-commerce, streaming services, healthcare and fitness apps, and virtual assistants.
- Optimizing for user understanding involves designing explanations that match the cognitive needs of different users.
- The benefits of explainable AI are evident, but there are challenges to its implementation, including how to simplify complex AI processes without making the explanations overly simplistic.
- Scaling of explainability for platforms with millions of users, personalization of explanations in real time, and fixing problems without sacrificing efficiency and fairness are some of the challenges to overcome.
- Explainable AI makes AI systems not only more intelligent but also accountable, and interactive explanations will become a norm in the future.
- The future of AI will be transparent and trust-based, forging a world empowered by technology that people will trust as fair and honest.
- Explainable AI is a commitment to making AI systems user-friendly, transparent, and ethical, building trust and meaningful connections with users.
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Medium
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Story 2: The Road Trip Adventure
- Noah, Aaron, Jonah, Kaplan, and Joshua embarked on a road trip adventure filled with laughter and camaraderie.
- They encountered challenges like traffic jams and road construction but embraced the unexpected, turning delays into opportunities for exploration.
- They visited historical sites in Philadelphia, hiked through Shenandoah National Park in Virginia, tried surfing in North Carolina, and enjoyed the vibrant streets of Miami in Florida.
- Their journey concluded in California, where they reflected on their accomplishments and deepened their friendships.
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Medium
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337
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The Dark Web : A Hidden World of Cybercrime
- The Dark Web is a part of the internet that isn’t indexed by traditional search engines and requires special software like Tor to access.
- While it serves legitimate purposes, the Dark Web is notorious for illegal activities and is a hub for cybercriminals.
- Cybercrime on the Dark Web, such as identity theft, has a significant impact on individuals.
- To protect oneself, strong passwords, two-factor authentication, cautious sharing of personal information, staying informed about cyber threats, and monitoring accounts are recommended.
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Medium
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Title: The Great American Journey of Friends
- A group of friends embark on a great American journey, starting in Alaska and ending in New Jersey.
- They explore various landmarks and natural wonders, such as Denali National Park and the Grand Canyon.
- The friends bond over campfires, share aspirations, and learn the value of friendship and teamwork.
- After facing challenges, they compile their memories into a scrapbook and plan future adventures.
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VentureBeat
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Learn how GE Healthcare used AWS to build a new AI model that interprets MRIs
- GE Healthcare has developed a full-body 3D MRI research foundation model (FM) that can use full 3D images of the entire body using AWS. The model is based on more than 173,000 images from over 19,000 studies and can support image-to-text searching, link images and words and segment and classify diseases in what's considered an evolutionary research phase. Already it has outperformed other publicly available research models in tasks including classification of prostate cancer and Alzheimer’s disease. GE Healthcare was able to train the model with five times less compute than previously required.
- This new model overcomes the massive hurdle of using 2D approximations of MRI images, allowing for intricate anatomical analysis, even for complex cases of brain tumours, cardiovascular diseases and other skeletal disorders. GE's FM is multi-modal and has exhibited up to 30% accuracy in matching MRI scans with text descriptions in image retrieval.
- The FM could enable real-time analysis of 3D MRI data, providing faster and more accurate diagnosis and treatment. GE HealthCare chief AI officer, Parry Bhatia, who built the model from the ground up using AWS, said the possibilities are huge.
- One of GE's flagship products is deep learning-based reconstruction algorithm AIR Recon DL, which removes noise from raw images, improving signal-to-noise ratio and cutting scan times up to 50%. Since 2020, 34 million patients have been scanned with AIR Recon DL.
- The MRI process requires a few different types of datasets to support various techniques that map the human body. To overcome challenges presented by diverse datasets, developers introduced a “resize and adapt” strategy so that the model could process and react to different variations.
- Semi-supervised student-teacher learning was also employed wherein two different neural networks were trained on both labeled and unlabeled data, with the teacher creating labels that help the student learn and predict future labels. This ensures the model performs well in hospitals with fewer resources, older machines and different kinds of datasets.
- According to the company, other challenges that needed to be addressed were the cost optimization as well as the limited computational power for 3D images that are gigabytes in size. GE Healthcare used Amazon SageMaker, Nvidia A100 and tensor core GPUs for AWS-based training to address these challenges.
- GE's FM's multimodality provides detailed information in one scan which can improve medical procedures like biopsies, radiation therapy and robotic surgery, Dan Sheeran, general manager for healthcare and life sciences at AWS, said.
- Sheeran also marvelled that with generative AI, GE's model could be expanded into areas such as radiation therapy or reduce scan time during X-rays and other procedures that currently require patients to sit still in a machine for extended periods.
- While GE's current model is specific to the MRI domain, researchers see great opportunities to expand into other areas of medicine by pre-training a single foundation model that can serve as a basis for other specialised fine-tuned models downstream.
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Siliconangle
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192
Image Credit: Siliconangle
What to expect during the Cyber Resiliency Summit: Join theCUBE Jan. 14
- CISOs must evolve to drive security innovation and resilience amid these evolving cyber threats, while balancing innovation with risk management and embracing AI-driven security solutions.
- During the Cyber Resiliency Summit Super Studio event on Jan. 14, how organizations are building cyber resiliency to withstand, recover and adapt, will be explored.
- Developing cyber resilience presents a technical and operational challenge, compounded by the complexity of identifying the best solutions to tackle significant global cyber risks.
- The role of the CISO is expanding, absorbing responsibilities that go beyond traditional IT security as cybersecurity becomes a strategic business concern.
- Kevin Mandia, founder of Mandiant and now a strategic adviser at Google Cloud, noted that CISOs must integrate risk management into business strategy and foster cross-functional collaboration.
- Major players in the sector are exploring ways to face increasingly complex threats and evolving IT ecosystems to enhance organizational resilience against sophisticated attacks.
- During the Cyber Resiliency Summit, analysts with theCUBE will discuss emerging cybersecurity trends and AI-driven security solutions while talking with industry executives and thought leaders.
- TheCUBE event live stream will provide full coverage of innovation in today’s high-stakes cybersecurity landscape while facilitating conversations about CISO cybersecurity leadership.
- TheCUBE is an important partner to the industry for providing free, deep and relevant content through its YouTube channel and podcasts.
- The event will be an exclusive opportunity for attendees to gain expert insights, hear real-world use cases, and discover strategies for CISO cybersecurity leadership.
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