Tesla has acquired DeepScale, a Silicon Valley startup that uses low-wattage processors to power more accurate computer vision, in a bid to improve its Autopilot driver assistance system and deliver on CEO Elon Musk's vision to turn its electric vehicles into robotaxis. CNBC was the first to report the acquisition. TechCrunch independently confirmed the deal with two unnamed sources, although neither one would provide more information on the financial terms of the deal. Tesla vehicles are not considered fully autonomous, or Level 4, a designation by SAE that means the car can handle all aspects of driving in certain conditions without human intervention. Instead, Tesla vehicles are "Level 2," and its Autopilot feature is a more advanced driver assistance system than most other vehicles on the road today.

Accelerate AI is ODSC's business summit for executives and business professionals. Co-located with ODSC Europe 2017, one of the largest applied AI and data science conferences on the planet. The most important Industry AI Event of the year, hear from fellow CxOs, executives, chief data scientists, and thought leaders. Co-located with the Accelerate AI Summit, the Open Data Science Conference (ODSC) is the largest applied data science conference on the planet. ODSC Europe 2017 has over 90 presentations on AI & data science topics, tools, and languages – taught by some of the best and brightest minds in the field.

CheckRecipient uses advanced machine learning and natural language processing (NLP) to make it impossible for sensitive information to end up in the wrong hands. We protect enterprise networks against new and intelligent cyber threats by preventing breaches in real-time. Founded by a team of Imperial College engineers, we're backed by some of the world's leading technology investors. We work with international clients in the financial, legal and professional services sectors who trust us to find the most intelligent ways to keep their data secure. We've recently closed a fundraising round of $2.7m led by Accel and LocalGlobe and we are looking to work with the brightest minds to help us accomplish our goal and help us defend our clients against the biggest cybersecurity problems.

Numer.ai is a crowdsourced hedge fund for machine learning experts Richard Craib believes that some of the best stock pickers aren't on Wall Street. The former hedge funder came to the realization that tech's machine learning experts may be able to build better predictive models than those with finance backgrounds. Craib carried this thesis forward when he launched Numer.ai last year, a crowdsourced hedge fund. The startup hopes to attract the best and brightest minds at companies like Google and pay them for their AI skills. And the first year saw significant traction, with 7500 "data scientists" creating algorithms on Numer.ai's Now the startup is announcing $6 million in funding from First Round Capital and Union Square Ventures to continue their team's expansion and buy more historical data sets (Craib refused to say where they get their data from).

In 2014, Stanford University launched the One Hundred Year Study, a long-term look into the future of artificial intelligence set to publish a paper every five years. Just two years in, the team released its first report Sept. 1, Artificial Intelligence and Life in 2030. The document outlines the history of AI and where its being currently applied, like transportation for self-driving cars and healthcare with surgical robots. It's an important document not only for the research community, but for policymakers grappling to understand technology that existing laws could be unequipped to handle. The report says evil AI isn't what people need to anticipate--it's the unintended consequences of otherwise helpful things AI gives, like the erosion of privacy or displacement of labor.

Can FinTech and AI solve the ESG data puzzle?

Universities have in recent years awakened to the fact that students can help them make money through more than just tuition and board. Stanford University started investing in students' start-ups in 2013. Harvard University does the same through its Xfund. Last year, the University of California launched a 250-million venture fund to invest in companies that grow out of the UC system. Now, UC Berkeley is getting in on the game -- through a new fund led by 24-year-old Los Angeles native Jeremy Fiance.