Stock price prediction remains a complex and high-stakes task in financial analysis, traditionally addressed using statistical models or, more recently, language models. In this work, we introduce VISTA (Vision-Language Inference for Stock Time-series Analysis), a novel, training-free framework that leverages Vision-Language Models (VLMs) for multi-modal stock forecasting. VISTA prompts a VLM with both textual representations of historical stock prices and their corresponding line charts to predict future price values. By combining numerical and visual modalities in a zero-shot setting and using carefully designed chain-of-thought prompts, VISTA captures complementary patterns that unimodal approaches often miss. We benchmark VISTA against standard baselines, including ARIMA and text-only LLM-based prompting methods. Experimental results show that VISTA outperforms these baselines by up to 89.83%, demonstrating the effectiveness of multi-modal inference for stock time-series analysis and highlighting the potential of VLMs in financial forecasting tasks without requiring task-specific training.

The phone is not lost, quite the opposite. Incongruous but invaluable, the phone is part of a network of devices placed throughout the forest to listen for the telltale sounds of illegal logging. Amidst the rustle of leaves, the scampering of critters, and the steady drip of moisture, the sound of a lorry or chainsaw is an alarm bell that can bring forest rangers hurrying to the scene. It's just one of the ways that technology is helping conservationists in the fight to protect wildlife and the planet. The advance of technology is often seen as a risk for the environment: From the invention of the plough to carve the landscape, through the industrial revolution, to the electronic age's thirst for Earth's limited resources.

PARIS, November 21, 2022 – A team of experts at Capgemini, in collaboration with University Hospital Bonn and Amazon Web Services, has developed an artificial intelligence (AI) model that will accelerate the speed of clinical trials aiming to establish new treatments for River Blindness, a neglected tropical disease which affects over 20 million people globally[1]. Currently, the specialist work of clinical trials can only be carried out manually by a handful of global experts, so the winning model could save years of work and speed up the development of new treatments. The India-based winning team developed a model which harnesses deep learning technology to identify the larvae worm that causes River Blindness, using images from existing clinical studies. In total, over 70,000 sections of clinical data were utilized to train the AI, leading to the creation of a model that can identify worm sections in microscopic images with almost 90% accuracy. The ability to automate such a high proportion of the required analysis will unlock the potential of faster and more consistent assessment of the efficacy of new drugs, which could save the eyesight of sufferers worldwide.

IT giant Capgemini is an umbrella brand that brings together many capabilities. There are over 52,000 engineers and scientists working for Capgemini Engineering in more than 30 countries and a wide variety of industries, including aviation, automobiles, railroads, communications, energy, life sciences, semiconductors, software & the internet, space & defence, and consumer goods. The company is currently looking to hire Tech Geeks or AI/ML experts. To know more details about it continue to read on. Job Profile: Tech Geeks or AI/ML experts Job Location: Bangalore Work Mode: Work from office (Only) Any Bond: Yes, on prorate basis -24 months from the effective date of employment Eligibility Criteria: Qualification: ME/MTech Specialisation: Circuit Branches Year of passing: 2021 & 2022 Percentage: 60% in masters, graduation, 12th/diploma & 10th Skill Sets: Good Knowledge of any AI/ML, Python, React JS/Node JS, DevOps Certification: Mandate to have any of AI/ML, Python, DevOps, React JS/Node JS Technical Skills Required: Good Knowledge of any AI/ML, Python, React JS/Node JS, DevOps Very good communication skills How to apply: Interested candidates can visit this link to apply!

In all cases, data and AI are enabling the public sector to achieve its missions with more pace, efficiency, and security. The implementation of large-scale automation fosters engagement, as liberated citizens can interact with public servants and processes around the clock. Moreover, the level of security and service is markedly improved, with automation powering real-time threat, incident, and anomaly detection. When taken together, data and AI generates insight that can be leveraged to feed a better decision-making process – from understanding a situation to suggesting next-best actions. It is important to remember that data and AI are tools, just like a carpenter's electric saw. They make the work easier, add precision, and improve efficiency.

Experience with Spark or Hadoop is nice to have. Experience with React/Node is nice to have.

The insurance sector is very unique across many dimensions. It is an industry bound by strict regulations, rigid data privacy and a stable, 'if it ain't broke, don't fix it' perspective, that calls for risk management and overall caution first. Compared to more unrestrained sectors, the insurance industry requires a well thought out approach to digital transformation with proven, established methodologies. Yet, almost overnight, the world has changed. First the pandemic, and now the conflict in Ukraine have created global uncertainty and upheaval. Many countries are staring into the abyss of recession, with interest rates and the cost of living rapidly increasing.

Capgemini announced that it has signed two new agreements with Eneco, a group of companies active in the field of renewable energy and innovation, energy trade and retail. As part of a 10-year agreement, Capgemini will support Eneco's transition towards sustainable energy and help meet its ambition of becoming carbon-neutral by 2035. Additionally, a 5-year agreement was signed to develop and implement a Digital Technology Platform. The agreements will span service areas interfacing with and supporting Eneco's digital technology platform, including cloud, data, integration, infrastructure, cybersecurity, customer experience, consulting and transformation services, as well as applied innovation and sustainability solutions. Capgemini and Eneco began their collaboration in 2008 and renewed it in 2018, to support Eneco's digital and cloud transformation journey.

Peugeot Sport has signed a multi-year partnership with the global leader in digital transformation Capgemini to provide the Peugeot 9X8's FIA World Endurance Championship programme team with advanced digital tools. Peugeot Sport is poised to make its return to topflight endurance racing this summer and will capitalise on Capgemini's data and AI applications expertise to take the performance of its revolutionary hybrid Hypercar forward, both in the simulator and on the racetrack. This new partnership also embodies the commitment of both companies to the energy transition. Pooling the capacity of Peugeot Sport and Capgemini's digital tools will enable the team's engineers, drivers and mechanics to deepen their understanding of the 9X8, while also accelerating and boosting its competitive potential as software development becomes a key factor given that the car's hardware specification will be frozen for a period of four years in keeping with the FIA World Endurance Championship's Hypercar regulations. With Peugeot Sport at a crucial stage in the car's development, this fundamental technological support is a sign of how motor racing is evolving.

Data and Analytics market is continuing to grow exponentially and expected to reach over $448 billion by 2027. The data imperative is fuelling investments on data ecosystems, Cloud and AI solutions. But to unlock the real power of data organisation there needs to be more than solely building technology and AI products. A robust data culture and literacy need to take higher priority. Increased demand for data specialists will require refining the workforce's strategy, developing the right structures and cultures within organisations to enable employees to grow and progress in a diverse and innovative environment.