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Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results--millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Data scientists are in demand: the U.S. Bureau of Labor Statistics predicts that the employment of data scientists will grow 36 percent by 2031,1 much faster than the average for all occupations. Data scientists are also some of the highest-paid job roles, so data scientists need to quickly show their value by getting to real results as quickly, safely, and accurately as possible.

Clap along, if you feel like that's what you wanna do Back in 2014, hip-hop producer Pharrell Williams wrote Happy for his friend Cee Lo Green, and had him record the song to include on Pharrell's upcoming album. Unfortunately, Cee Lo Green's record label executives vetoed the song's release, believing it would subtract attention from Green's own upcoming album. Upset but unfazed by this idiotic slight toward him, Pharrell recorded a new version of the song himself, and simply released that instead. "Happy" went on to become one of the singular most popular recorded songs in history, breaking every record one single song can break along the way and sending Pharrell's career to new and rarified heights. We are pleased to announce the Women Leaders of Conversational AI, Class of 2023: approximately 200 women who themselves have shown perseverance in their own careers as they've worked to impact the conversational AI / voice technology continuum.

When we think about artificial intelligence (AI), humans are rarely what springs to mind. And understandably so, as AI is all about machine intelligence and automation. AI has become an essential business tool, so we often commend the pioneering work of AI companies to support businesses as they digitally evolve. To shed a light on the importance of people in the creation of intelligent machines, we take a look at the best-in-class executives in the AI field who continue to push the technology – and its boundaries – forward. With a passion for AI, Andrej Karpathy is interested in training deep neural nets on large datasets.

Machine learning is on track to consume all the energy being supplied, a model that is costly, inefficient, and unsustainable. To a large extent, this is because the field is new, exciting, and rapidly growing. It is being designed to break new ground in terms of accuracy or capability. Today, that means bigger models and larger training sets, which require exponential increases in processing capability and the consumption of vast amounts of power in data centers for both training and inference. In addition, smart devices are beginning to show up everywhere. But the collective power numbers are beginning to scare people.

Andrej Karpathy, senior director in charge of AI and computer vision at Tesla, announced that he is leaving the automaker. It is a big loss for Tesla's Autopilot team and self-driving effort. Karpathy joined Tesla more than five years ago as a neural net and computer vision expert. He quickly rose through the ranks and became a big part of Tesla's Autopilot team and the automaker's effort to develop a full self-driving system. As Tesla expanded its effort from self-driving to broader artificial intelligence, Karpathy was promoted to senior director of AI at Tesla.

The European Parliament's Committee on Industry, Research and Energy (ITRE) recently voted in favour of Eva Maydell MEP's (BG, EPP) opinion on the Artificial Intelligence (AI) Act. The opinion received a strong endorsement from the committee with 61 votes in favour and only two against. Seven parliamentary committees are examining the proposal and Member States are still aligning their positions; but as the French pass the EU Presidency baton to the Czechs, EU40 - the platform of young pro-European MEPs - organised a multi-stakeholder discussion with leading actors and experts in the Microsoft Centre to take stock of where we are and to assess whether the EU is striking the right balance. The European Commission unveiled its proposal in April 2021 with the aim of turning Europe into a global hub for trustworthy AI. The proposal is the first of a kind.

Atomwise is a leading artificial intelligence (AI) drug discovery company, based in San Francisco, CA. We created our EXAct computation-first, AI-driven drug discovery engine to efficiently and repeatedly engineer small molecules to improve human health and agricultural productivity. Along the way, we are solving some of the most challenging problems at the intersection of machine learning, AI, data science, and chemical/biological sciences. Do you like to work on hard problems where your solutions will have an impact? We are looking for a hands-on Director or Senior Director level scientist to lead our Machine Learning & AI research group.

Despite tremendous technological advances in drug discovery and medicinal chemistry, the failure rate of new molecular entities remains extremely high, and drug development costly and slow. Dompé, a global biopharmaceutical company with a 130-year legacy of medical innovation, is here to solve the problem. Leveraging strong drug development capabilities and more than 20 years of experience, Dompé has developed the most advanced intelligent supercomputing platform for drug testing, and the largest enumerated chemical library in the world for preclinical and candidate identification, enabling faster, more efficient and inexpensive drug discovery. "Our virtual screening platform, Exscalate, leverages high-performance computing, big data and artificial intelligence (AI) to perform in silico drug testing and design," explained Andrea R. Beccari, head of discovery platform senior director. "The platform not only has unprecedented speed, quality and scalability, but is also open to the scientific community to drive innovation."

This blog post was written by Dr. Maryam S. Jaffer, Director Data and Statistics, Emirates Health Services; Dr. Bashar Balish, Senior Director, Cerner; and Michel Ghorayeb, UAE Managing Director, SAS. The future of health care has never been more exciting. Artificial intelligence (AI) and data analytics have captured center stage for any business planning on surviving and thriving. Given the pace of technological development, AI is transforming the future on an unprecedented scale. And that includes the future of health care.