People with paralysis can control robotic devices through thought alone. Researchers at UC San Francisco have achieved a remarkable breakthrough in brain-computer interface (BCI) technology, enabling individuals with paralysis to control robotic devices through thought alone. This innovation combines artificial intelligence (AI) with neuroscience, allowing a paralyzed man to manipulate a robotic arm by imagining movements, a feat that marks a significant milestone in restoring autonomy to people with severe motor impairments. The device, known as a brain-computer interface (BCI), represents a fusion of advanced AI and neural engineering. BCIs have previously struggled to maintain functionality over extended periods, often losing effectiveness after just one or two days.

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research. The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power of physics. Subsequent chapters follow a systematic deep dive into various quantum machine learning algorithms, quantum optimization, applications of advanced QML algorithms (quantum k-means, quantum k-medians, quantum neural networks, etc.), qubit state preparation for specific QML algorithms, inference, polynomial Hamiltonian simulation, and more, finishing with advanced and up-to-date research areas such as quantum walks, QML via Tensor Networks, and QBoost. Hands-on exercises from open source libraries regularly used today in industry and research are included, such as Qiskit, Rigetti's Forest, D-Wave's dOcean, Google's Cirq and brand new TensorFlow Quantum, and Xanadu's PennyLane, accompanied by guided implementation instructions.

Atomwise, which is using artificial intelligence for small molecule drug discovery, received a cash infusion of $123 million in an oversubscribed Series B financing. San Francisco-based Atomwise touts being the creator of the first convolutional neural networks, or visual imagery, using AI technology for drug discovery, a market estimated to reach $40 billion in value by 2027, according to Fior Markets research. To date, Atomwise has provided AI technology to more than 750 academic research collaborations addressing over 600 disease targets, Abraham Heifets, co-founder and CEO told Crunchbase News. B Capital Group and Sanabil Investments led the investment that also included existing investors DCVC, BV, Tencent, Y Combinator, Dolby Ventures, AME Cloud Ventures, as well as two undisclosed insurance companies. This brings the total amount of capital raised, since Atomwise's inception in 2012, to almost $175 million.

There has been a phenomenal increase in the use of online social media (OSM) services in India, including Facebook, Twitter, Instagram, LinkedIn, and YouTube. In addition to these services, one-to-one messaging services like WhatsApp have 200 million users, the highest in the world. India has 462 million users accessing the Internet, among these: Facebook has 250 million users, LinkedIn 42 million, and Twitter 23 million users, and the majority of users access these services through their mobile phones. These services have had a profound impact in India--overall digital literacy has increased, people are more connected, dissemination of local language content has increased, information exchanged during crises is substantial, and more. The deep penetration of social media services also has negative effects--the propagation of false information and hate, an increase in spammers and phishers, users are losing social skills, and more.

In the quest to better understand climate change, there is plenty we still don't know. But the question isn't whether or not climate change is happening. "What we sometimes hear on the news is political manufactured uncertainty," said Auroop Ganguly, a professor of civil & environmental engineering at Northeastern. Instead, real climate change uncertainty stems from the challenge of simulating the future. What will happen to Boston's electric grid under long-term extreme weather conditions?